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NEUROFUTURE FOR ALL

WHITEPAPER NOVEMBER 2017

1 Introduction 3

2 Neurotechnologies and neural interfaces in the modern world 6Application of neural interfaces 11Brain-computer interface market 16

3 Basis Neuro research laboratory: history and findings 22History of BСI research 22Practical value of Basis Neuro research advancements 24Scientific foundations of the method 24

4 Basis Neuro platform: neural interfaces for the mass market 29Platform business model 31

Platform users 31Main goals and tasks 31Key services and functions 31Monetizing services 32

Interaction channels 32Platform plans and pricing for companies and developers 33Platform connection for experts and market participants 34Options for end users 34Engaging the audience and promoting the platform 35

How the platform works 36White label: Basis Neuro Inside 37Blockchain technologies 37Key advantages 37

5 ICO structure 40ICO goals 40Legal aspects 41Distribution of tokens 41Function of a token 42

6 Road map 43Development roadmap 43Distribution of investments 44Expenditure plan 45

7 Team and partners 47Team 47Partners 48

8 Appendix 49Certificates of state registration for software 49The research projects carried out by the team 50

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CONTENT

NON-INVASIVE NEUROTECHNOLOGIES ELIMINATE THE NEED FOR INSTALLING BRAIN ACTIVITY SENSORS DIRECTLY INTO THE CEREBRAL CORTEX. THE SIGNALS ARE READ BY WIRELESS SENSORS, PUTTING A HEADSET ON IS SUFFICIENT.

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1 INTRODUCTION It is generally accepted that the world is on the threshold of the fourth industrial revolution that will be based on bio-cybernetic systems. Creating direct and non-invasive interaction of the brain with external devices will be one of the key steps in the development of technology. With the advent of new technologies, a new class of business models is created and, as a consequence, does a new market of products and services, which potential is already estimated at billions of dollars.

The Brain-computer interface (BCI) technology allows controlling the usual everyday devices with the help of mental commands. The technology seems new, but the level of current developments and the needs of various markets ensures that neural interfaces will become a part of everyday life in the next few years.

Basis Neuro Research Laboratory is a pioneer in the development of non-invasive neurotechnologies and neural interfaces. Ten years of experimental and theoretical work have resulted in a number of publications, numerous software patents and, most importantly, working prototypes of neuro-controlled devices.

The technology is safe for users. It eliminates the exposure of the users to an active electromagnetic effect, as well as any interference in mental processes, the psyche, the decision-making logic. Consequently, neural interfaces developed at Basis Neuro can be used to create mind-controlled products and services for people of all ages without need for additional diagnostics.

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Basis Neuro team, along with active work on their own projects aims to help modern companies make neural interfaces a part of people's daily lives, simplifying their implementation and use in virtually all areas of life.

Basis Neuro is a platform for service companies and developers that will enable them to create products and services using neural interfaces for business, education, medicine, sports or art. Using Basis Neuro technological and scientific developments, developers will be able to create health monitoring systems, systems to control smart device or smart homes, to develop mind-controlled games and entertainment projects, as well as gadgets.

The participants will be able to remotely purchase the necessary neuro equipment, receive control software, to get access to algorithms for reading brain signals and an ever-expanding database of decoded patterns. Basis Neuro team provides expert and technological support, which will allow the users to exploit a range of new opportunities for their day-to-day product and service development.

Blockchain technology will be used to ensure maximum security of information on Basis Neuro, which will help to protect copyright information and to efficiently introduce a wide range of users to the technology. To accelerate the development of the platform, Basis Neuro team made decisions to launch the ICO campaign.

Platform to develop BASIS NEURO neuroproducts

BASIS NEURO users

End users of BASIS NEURO neuroproducts

SDK and API to develop

neuroproducts

Technological, research and

product support

Updated database of decoded brain

patterns

Algorithms to decode mental

commands

Game developers

Education innovators

Smart home developers

Medical companies

Health monitoring system developers

Other business areas

Smart gadget users

Gamers

Business users

Athletes

Students

Disabled people

Smart home owners

Brain-controlled wheelchair

Media coverage

Testing a prototype

Preparing for an interview and demonstration of the brain-controlled wheelchairat RBC TV

The tests were successful

Basis Neuro prototype

Biopotential amplifiers for detecting and decoding mental commands

Application to control Basis Neuro neurostimulator

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BASIS NEURO PROJECT

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2 NEUROTECHNOLOGIES AND NEURAL INTERFACES IN THE MODERN WORLD

Neurotechnologies allow identifying brain signals for further processing and provide opportunities for improving and correcting brain functions. The first developments in the field of neural technologies were made long ago. In the last 20 years this field has rapidly developed and now the technology is considered to be a reliable application rather than a scientific experiment. The turning point was the emergence of neuroimaging that allowed scientists to observe the brain activity directly during the experiments, to recognize and decode its signals.

One of the central areas of modern research and development is the creation of so-called Brain-Computer-Interface (BCI) that enabled a person to control external devices using randomly generated brain activity patterns. This allows you to control devices both consciously, forming certain mental commands, and unconsciously, when devices and gadgets adapt their work with reference to user’s emotions, condition and mood of the user.

THE SIZE OF THE NEW BCI MARKET SEGMENTS IS ESTIMATED AT $100 BILLION BY 2020, AND AFTER 2025 AN EXPONENTIAL GROWTH TO $1.8 TRILLION IN 2035 IS EXPECTED.

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The number of studies grows exponentially demonstrating that neural interfaces can help both healthy people and those with severe motor disabilities to control and communicate with the outside world1. However, despite the considerable success in creating such systems, they still need to be transferred out of the laboratories and into the market2.

Even now, behavioral therapists3 have developed neurotechnology-based tools to restore cognitive functions after traumatic brain injury4, when working with children suffering from attention deficit/hyperactivity disorder5 and autism6. In addition, non-invasive approaches are developed for training users of brain-computer systems7. The method of neurocommunication has been supported by the idea that a person is able to control not only their mental state but also wireless objects through changing their own brain's activity8. The safety of these technologies for human health and for the brain in particular leads to expanding the range of their possible applications to education, entertainment and other fields, as a result, commercializing this area of innovation.

Methods of using brain signals, in most cases, are operant conditioning9, with a person controlling the mental state and the activity of the brain. Neuroassistive systems (that allow maintaining or increasing a person's capabilities and autonomy) become an effective non-drug treatment, diagnosis and correction.

1 Tangermann M., Müller K. R., Aertsen A., Birbaumer N., Braun C., Brunner C., ... Blankertz B. Review of the BCI competition IV // Frontiers in neuroscience. 2012. Vol. 6.

2 Brunner C., Birbaumer N., Blankertz B., Guger C., Kübler A., Mattia D., MüllerPutz G. R. BNCI Horizon 2020: towards a roadmap for the BCI community // BrainComputer Interfaces. 2015 (ahead of print). P. 1–10.

3 Pineda J. A., Brang D., Hecht E., Edwards L., Carey S., Bacon M., ... Rork A. Positive behavioral and electrophysiological changes following neurofeedback training in children with autism // Research in Autism Spectrum Disorders 2, 2008. P. 557– 581.

4 Thornton K. E., Carmody D. P. Efficacy of traumatic brain injury rehabilitation: interventions of QEEG-guided biofeedback, computers, strategies, and medications // Appl. Psychophysiol. Biofeedback. 2008. Vol. 33. P. 101–124.

5 Maurizio S., Liechti M. D., Heinrich H., Jäncke L., Steinhausen H. C., Walitza S., ... Drechsler R. Comparing tomographic EEG neurofeedback and EMG biofeedback in children with attention-defi cit/hyperactivity disorder. Original Research Article Biological Psychology, In Press, Uncorrected Proof (Available online) 6 November 2013.

6 Bashashat A., Ward R. K., Birch G. E., Hashemi M. R., Khalilzadeh M. A. Fractal dimension-based EEG biofeedback system // Proceedings of the 25th Annual International Conference of the IEEE Engineering.

7 Tan D.S., Nijholt A. Brain-computer interface (Applying our Minds to Human-Computer Interaction). Springer, 2010. 277 p.8 Vidal J. J. Toward direct brain-computer communication // Annual review of Biophysics and Bioengineering. 1973. Vol. 2(1). P. 157–180.9 Kamiya J. The fi rst communications about operant conditioning of the EEG // Journal of Neurotherapy. 2011. Vol. 15(1). P. 65–73.

7,8%

6,6%

6,4%

5,9%

5,7%

5,6%

5,5%

5,3%

5,3%

4,8%

4,6%

4,5%

4%

3,4%

2,5%

Neurology

Endoscopy

Diabetic care

In vitro diagnostics (IVD)

Cardiology

Dental

Ear, nose & throat (ENT)

General & plastic surgery

Ophthalmics

Drug delivery

Nephrology

Wound management

Orthopedics

Diagnostic imaging

General hospital & healthcare

0% 1% 2% 3% 4% 5% 6% 7% 8%

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1 https://www.statista.com/statistics/752306/top-segments-medtech-worldwide-growth-forecast/

Forecasted growth rate for top global medical technology segments between 2016 and 20221

NEUROTECHNOLOGIESMONITORING TECHNOLOGIES

CONTROL TECHNOLOGIES

STIMUL ATION TECH-NOLOGIES

Monitor user’s response to various events or information

Safely stimulate and tone up tired parts of the brain

Convert mental commands into digital signals to control devices

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A NEURAL INTERFACE IS A NEW WAY OF INTERACTION IN WHICH A PERSON CONTROLS A DEVICE WITH MENTAL COMMANDS.

The neural interface simplifies the control and makes it more efficient: using a forehead-mounted headset and wireless transmitters you can mentally interact with your smartphone or other household gadgets, transfer information to monitoring devices (for example, health trackers) and control wheelchairs.

Despite the fact that wearing a neuro-headset seems unusual, it does not cause any inconvenience. In addition, there are growing opportunities for integrating neuro sensors into everyday devices (for example, VR glasses, smart clothes). With the development of the wearable device market, neuro sensors become more miniaturized and more convenient; they no longer require any special training or cumbersome control units.

Moving neural interaction technologies into mainstream will significantly change the world we are familiar with. Modern neural interfaces often look unfinished or have limited functionality in this regard the developments by Basis Neuro laboratory solve many of the existing problems, which allows the formation of a mass market for neuro products.

Neural interfaces include three categories – control technologies, monitoring technologies and stimulation technologies.

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CONTROL TECHNOLOGIES

Control technologies allow reading and interpreting mental commands and converting them into digital signals to control various devices. This category includes the integration of neural interfaces into the gaming industry and virtual reality, smart home and Internet of Things, as well as medical and educational spheres. The potential of these markets for the next 5 years is estimated at $800-900 billion.

MONITORING TECHNOLOGIES

Neuromonitoring allows tracking brain response to events or information. For instance, it can be used to assess user perception of advertising, to control the psychophysiological state in dangerous occupations. At present monitoring technologies tend to develop into neuromarketing that gradually becomes more accessible and understandable for commerce. At the moment the market for neuromarketing technology is estimated at $30 billion, but the prospects for its development are enormous as it studies the mechanisms of consumer behaviour and ultimately helps the business to reduce advertising costs and increase sales.

STIMULATION TECHNOLOGIES

Neurostimulation comprise unique methods to safely stimulate the brain and its activity. Information fatigue syndrome and stresses lead to brain fatigue and increased tension, which can adversely affect the state of memory and the overall effectiveness of thought processes. Neurotechnologies allow safely toning up "tired" areas of the brain to support healthy brain performance. Even at the current level of technology development all three categories of neural interfaces are ready for application both as individual technologies and a combined solution. The only obstacle can be the unavailability of "box solutions" that businesses could use as they use standard operating systems, application software, printers and gadgets.

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NEURAL INTERFACES: APPLICATION

The application of neural interfaces is similar to that of any currently used wireless technology which provides communication between people as well as interaction with the outside world. At the same time, due to unique features and embedded functions neural interfaces offer a new approach to the implementation of user interfaces and human interaction with the outside world.

MEDICINE

According to WHO, 190 million people in the world have significant difficulty in functioning and live with some form of disability1, mostly with limited mobility. And much more people with physiological impairments are not able to fully enjoy the achievements of modern technologies, gadgets and services, which significantly limits their communication.

Being integrated with a wheelchair, dentures and life support systems, neural interfaces can improve the lives of millions of people with voice or visual impairment allowing them to control all necessary devices.

ACCORDING TO WHO, 190 MILLION PEOPLE IN THE WORLD HAVE SIGNIFICANT DIFFICULTY IN FUNCTIONING AND LIVE WITH SOME FORM OF DISABILITY, MOSTLY WITH LIMITED MOBILITY.

In addition, it is possible to develop special applications adapting neural interfaces for rehabilitation of stroke patients. According to the World Organization of Stroke, 15 million people suffer stroke worldwide each year2. Neurotechnologies facilitate and accelerate the process of rehabilitation and their widespread application will significantly reduce stroke mortality.

1 http://www.who.int/disabilities/world_report/2011/report/ru/2 http://www.world-stroke.org/

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Neurotechnologies developed by Basis Neuro enable to:

• Significantly accelerate rehabilitation of stroke patients by neurocontrol and VR technologies.

• Expand physical abilities of fully or partially immobilized patients.• Monitor patients requiring constant care and control.• Improve positive dynamics of patients with cognitive impairment.• Make a variety of services and technologies accessible to people with visual and

hearing impairments.• Provide psychologists and psychotherapists with deeper understanding of what a

disabled person really feels and experiences.

According to our estimates, the market of neuro-applications and devices for medicine will reach $50.5 billion within five years.

VIDEO GAMES AND VR

Nowadays we are living in a modern post-industrial society where robotic technologies, machine learning and artificial intelligence are gradually relieving people of their work. What is more important, entertainment is becoming one of the main drivers in the development of modern technologies and businesses, while neural interfaces are now suitable for the role of a new "joystick" which does not require any motor and physical efforts.

AR / VR industry will be developed even more rapidly than gaming industry as a whole because of the educational and professional application of AR/VR technologies. They are becoming smaller, smarter and more user-friendly. IDC’s research indicates that by 2021 AR/VR market will grow from $12 to $215 billion1.

Neural interfaces and video game industry:• Single-player and multiplayer games with a non-linear storytelling. The plot of the game

depends on the online status of a user.• New virtual reality: neuro commands are used to control the avatar and interact with VR

objects.• VR sickness can be minimized due to the precise adaptation of the "virtual

environment” to the user.• Gaming industry accessible for people with disabilities.

1 https://www.idc.com/getdoc.jsp?containerId=prUS42959717

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SMART HOUSE AND IOT

Smart house technologies have been around for a long time, but right now they are becoming commonly available in terms of production and commercial application due to cost reduction and rapid development. Nowadays neural interfaces can be intergrated into software applications for controlling smart house systems. The market is expected to reach $58 billion by 20201.

Neural interfaces for smart house allow to:

• Turn on/off the light, water and household appliances with the help of mental commands.

• Reduce response time.• Allocate parametric tasks to household appliances, media centers and other modern

devices.• Home automation system can respond to the host's physical condition and create the

most comfortable environment by monitoring the psychophysiological parameters in real time and transmitting data to smart home systems.

EDUCATION

Research and Markets reports indicate that by 2021 education market will exceed $586 billion2. So neurotechnologies can find a number of potential applications in the process of learning and teaching. VR and AR technologies as well as distance learning provide us with unlimited creative opportunities.

1 https://www.gfk.com/fileadmin/user_upload/dyna_content/Global/documents/Reports/GfK-smart-home-teaserdeck-global.pdf2 http://www.marketsandmarkets.com/PressReleases/smart-digital-education.asp

BASIS NEURO PLATFORM WILL ALLOW TO CREATE SPECIAL PRODUCTS AND SERVICES THAT ADAPT THE INTERFACE TO THE DEMANDS OF UNIVERSITIES, SCHOOLS AND PRIVATE EDUCATIONAL INSTITUTIONS.

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Monitoring and neurostimulation can be introduced into the process of education to improve its quality. Monitoring is used to determine the time phases most suitable for remembering information. Educational services will be able to rely on the speed of thought of a particular person and analyze the way this person assimilates information. A teacher will be able to modify their work to fit the special needs of low-performing students.

Basis Neuro platform will allow to create special products and services that adapt the interface to the demands of universities, schools and private educational institutions.

Neural interfaces in education are used to:

• Monitor the state of a student to determine the effectiveness of training.• Provide neurostimulation to improve cognitive processes.• Provide neurocontrol of gadgets or learning environment (smartphone, VR software and

hardware).

NEUROMARKETING AND BEHAVIORAL ECONOMICS

Neuromarketing - a new area of research that applies the principles of neuroscience to the study of consumer responses to a particular product. Neuromarketing can be intergrated into a special research project or be a part of real life processes which involve the use of different goods, services and media content. By analyzing consumer responses neural interfaces provide important feedback and offer new options and services.

Due to the benefits and high effectiveness of neuromarketing many large retailers are introducing this technology into sales performance improvement. Today neuromarketing research has already captured the market and is still growing at a rate of 18% per year. According to Research and Markets reports, by 2021 the market volume will exceed $50 million1. However, the growth and development of this market are affected by the shortcomings of modern solutions and the lack of special software. Neurotechnologies allow to:

• Clarify targeting of promotion actions and special offers, taking into account a person's response to an offer.

• Stimulate consumption according to the particular condition of a person.• Save a full range of customer – specific settings.

1 https://www.researchandmarkets.com/research/gwzb53/neuromarketing

NEUROTECHNOLOGIES IN MONITORING SYSTEMS WILL ALLOW TO:

Increase individual performance and team productivity

Reduce the level of stress and strain on employees

Provide more individual approach to the tasks taking into account their peculiarities

Reduce risks of hazardous manufacturing processes and activities that requireе increased attention

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PSYCHOPHYSICAL MONITORING: A NEW MARKET

Technical solutions provided by Basis Neuro will help the developers to establish a new market for monitoring psychophysical condition of a person. Nowadays there is a need for systems that will allow to monitor psychological and emotional condition of people being employed in some high-risk occupations. Besides, such systems are able to control people with depression or mental disorders.

Monitoring systems can be used by air traffic controllers, drivers, pilots, the military and doctors, that is, by people whose job involves risk and danger and requires maximum concentration. To organize monitoring systems, we need to use a neural interface and adapted software enabling real-time diagnosis of a person's condition and, if necessary, anticipate undesirable consequences. The potential of this market is huge as it covers millions of people and thousands of companies around the world, all being prospective customers.

Neurotechnologies and neurogadgets could be universally applied in virtually any industries and any processes that will help the developers to enter new, only emerging markets. As it was said above, the only barrier can be the absence of ready-made out-of-the-box solutions that companies could use without carrying out their own cutting-edge research.

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BRAIN-COMPUTER INTERFACE MARKET

The modern market of neural interfaces is represented by several companies that produce and sell their devices to mass consumers. However, most of these devices have limited functionality and a number of disadvantages that prevent neural interfaces from becoming a truly mass product. The key drawback is inefficient recognition of mental commands and limited number of recognized commands. As a result, BСI-based devices do not work properly enough. This is due to the fact that different people do not give their mental commands identically. Therefore BCI should be based on a constantly developed and regularly verified and calibrated set of recognized mental patterns.

This ensures not only precise execution of mental instructions, but also creates multifunctional neuron interfaces that are “tailored” to more than one specific product with several fixed instructions. Such knowledge-intensive approach involves specialized equipment as well as highly-qualified and experienced professionals to make it technically feasible, but not all manufacturers can afford it.

As BCI market is a comparatively young area, industrial design of neural interfaces, their usability and performance often leave much to be desired.

THE MODERN MARKET OF NEURAL INTERFACES IS REPRESENTED BY SEVERAL COMPANIES THAT PRODUCE AND SELL THEIR DEVICES TO MASS CONSUMERS. HOWEVER, MOST OF THESE DEVICES HAVE LIMITED FUNCTIONALITY AND A NUMBER OF DISADVANTAGES THAT PREVENT NEURAL INTERFACES FROM BECOMING A TRULY MASS PRODUCT. S

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Price $700 $200 $800/ $300 $269 NA $3500 $50 $ 800+ $100 $500

Non-invasive sensors

Wireless communication

The number of active sensors 4 1 14\5 3 1 4\8\16 4 4

Computer output

Smartphone output

Development package

EEG recording

EMG recording

Control of wireless objects and recognized instructions

Control of a game character

Neuro assistance

ECG recording

Pulse

Accelerometer

Gyro sensors

Heart rhythm variability

Fatigue monitoring

Focus monitoring

Meditation support

Smart satisfaction monitoring

Stress level

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NEUROSKY

Nerosky was founded in 2004. The company is a world-leading developer of mobile brainwave sensing headsets with teaching apps to provide biometrics and personalized health metrics to a wide range of customers. NeuroSky offers biosensor technologies available on a mass-market scale, but they are based on one sensor and do not provide fully functional control.

EMOTIV

EMOTIV was founded 2011 and considers itself a pioneer in bioinformatics and brain research with the help of EEG technologies. EMOTIV’s mission is to help people understand how their brain works and promote brain research all over the world. Emotive is a developer of brain wearables for research applications and the company provides its customers with a system development kit to create personalized applications according to their needs.

MUSE

Muse is the first product launched by InteraXon in 2014. Muse is a headset aimed at training your brain and monitoring heart activity. Muse is intended for a wide range of users and its functions also include relaxation and antistress.

ANT NEURO

ANT Neuro was established in 1997 as a spin-off from the University of Twente, the Netherlands. Initially, the company developed software for advanced source analysis of EEG and MEG data. Over the past few years, ANT Neuro has focused on high performance products for the recording and analysis of neurophysiological signals in neurological, psychological and physiological research and clinical applications. The company produces research equipment (biopotential amplifiers) for neural research, but it doesn’t offer any ready-made solutions for non-professional users. ANT Neuro products are used in many world-famous laboratories.

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BLACKROCK MICROSYSTEMS

Blackrock Microsystems derives from a legacy of high-tech innovation that began with Bionic Technologies, a spin-off from the University of Utah in 1997. The mission of the company is to lead the market in implantable microsystems by fulfilling the immediate and future needs of the worldwide neuroscience research community. The company develops invasive fixed systems for monitoring brain activity of humans and animals and for carrying out neurosurgical operations. Blackrock Microsystems equipment is used for DARPA projects. Amplifiers can be configured for non-invasive recording of EEG. The cost of equipment is from 3500 $.

MINDMAZE SA

MindMaze is a computing platform that captures and analyzes the activity of the brain. The company develops non-invasive fixed monitoring systems for human brain activity and VR helmets. As the developers claim, there will be innovative solutions to aid and radically transform health care and game industry.

NEUROWEAR

Neurowear is a project organization in Tokyo focused on creating "communication for the near future." The company designs prototypes of new products and services based on biological signals such as brain waves and heartbeat. Neuro head sets for entertainment are based on NeuroSky technology and sensors.

OPENBCI

OpenBCI is an open platform for researchers, engineers, artists, scientists, designers, makers and more. The mission of the project is to use the electrical signals of the human brain and body to further understand their functioning and expand their capabilities. The company develops mobile biopotential amplifiers intended for professional use. The cost includes $800 (case) + $200-500-950 (amplifier) + $20 (batteries) + $150 (Wi-fi communication module).

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PERSONAL NEURO DEVICES

The company has been developing wearable neural interfaces for a wide range of applications since 2010 specializing in health, military and communication development. Elon Musk and Facebook are now working to commercialize BCI devices and PND is poised to enter the market with short delay. Neuro headsets developed by Personal Neuro Devices provide recovery and rehabilitation monitoring after brain concussions. The company has joined Kickstarter community to raise funds for product development. Pre-order option is available, but there is no working prototype.

NEURAL IMPULSE ACTUATO

Neural Impulse Actuato is a wearable BCI developed by OCZ Technology which combines neuro control and neuro assistance functions. NIA is no longer being manufactured.

BRAIN LINK

Since 2014, the company has been developing wearable interfaces based on NeuroSky technology for a wide range of users. Brain Link products are used in health care, education and entertainment industry. The devices are sold in North America, Europe and the US, Japan, South Korea and China.

FOCUS BAND

Since 2009, the company's founders have been working on the development of non-invasive neural interfaces enabling neuro assistance to control brain by monitoring its activity. The mission of the company is to create a FocusBand training system to reduce stress and provide a person with deep relaxation techniques. Their products are for non-professional use.

BASIS NEURO SPECIALISTS HAVE ALREADY DEVELOPED MORE ACCURATE METHODS FOR RECORDING BRAIN SIGNALS AND A BRAND NEW SOFTWARE ENVIRONMENT TO CONTROL WIRELESS DEVICES.

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BASIS NEURO

The company develops universal learning algorithms for recognizing and decoding brain signals, which allows to control wireless devices in real time. Basis Neuro creates and tests its own mobile headset used to record and analyze brain signals and also creates an expandable database of decoded brain signals and maps suitable for multiple-user access and available to other developers. The company has been doing brain research since 2008 and now specializes in neuro monitoring and neuro control based on EEG methods. Neuro headset includes 4 active and 3 peripheral sensors. The cost is about 700 $.

Basis Neuro products are aimed at meeting the current needs of neurotechnologyindustry. Basis Neuro specialists have already developed more accurate methods for recording brain signals and a brand new software environment to control wireless devices. These new learning algorithms are able to rapidly detect human EEG patterns and use them as control commands.

Now Basis Neuro is developing a platform based on its own technological solutions to offer its neuro devices and services to third-party developers.

3 BASIS NEURO RESEARCH LABORATORY: HISTORY AND FINDINGS

The Basis Neuro solutions are a result of long-term efforts in studying, designing and prototyping neural interfaces, which made it possible to make the technology suitable for commercial use by 2017.

Basis Neuro has evolved from the research laboratory to an open service platform for neurotechnology business development.

HISTORY OF BCI RESEARCH

Basis Neuro research laboratory has been conducting research in the field of neural interfaces since 2007. The first prototype of the neural interface was created in 2009, and in 2016 a method for the mental control of a smartphone and tablet was developed and successfully tested.

Early fundamental studies to create methods for integrating brain signals of healthy and sick person with a computer to provide non-verbal communication. Development and testing neural network method for analyzing and interpreting EEG signals for brain-computer systems. Development of a neural interface prototype.

Study and comparative analysis of electrographic patterns and mechanisms for forming voluntary motor and mental activity.Patent acquisition.

A neural networks committee to classify the electroencephalogram of mental movements for the brain-computer interface. Certificate of state registration for software.

Research into the influence of personality individual-typological features on the effectiveness of self-regulation with EEG-based neurofeedback.

Experimental testing of the developed neural network methods of EEG analysis for disabled people to control a wheelchair.

Research and modeling of neuro- and psychophysiological mechanisms of the functional state of the brain, active perception and hierarchy of cognitive processes that provide adaptive behavior.

2007

2008–2009

2010–2011

2012–2013

2012–2014

2014–2016

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Development and testing of visual feedback software interface based on EEG spectral characteristics of mental commands for screen interface control. Certificate of state registration for software.

Development of the BCI hardware-software system (mobile biopotential amplifier) to control wireless devices (a smartphone, a tablet).Certificate of state registration for software.

Development of hardware and software systems to use a neural interface in a virtual reality environment and to control a wheelchair.

Study of mechanisms of multistable brain activity, sensory perception and cognitive processes to develop effective monitoring, communication and control neurotechnologies.

Future research and projects:

• Industrial design of a full-scale working prototype of the neurointerface.• Smart headphones. • Sleep monitoring systems. • Proprietary neural control systems for VR.

The current priorities of the team – to accelerate the process of customizing the interface to reduce the time for the device to calibrate to individual features of the brain to near real-time, and to further develop the accuracy of the algorithms for decoding mental commands and expanding the base of mobile device control patterns. The development of algorithms and new methods for analyzing brain signals allows reading and interpreting the current state of brain functioning, including in conditions of selective attention, fatigue, monotony; assessing stress levels and emotional states in order to subsequently adjust brain states with the method of neurofeedback.

2014–2015

2016

2017

2017

2018–2019

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PRACTICAL VALUE OF BASIS NEURO RESEARCH ADVANCEMENTS

Basis Neuro solutions are the missing link between knowledge-intensive and specialized neurotechnologies and creative freedom of business in developing their products and services.

To confine the application of neurotechnologies to a single industry means to artificially restrain their development. In this regard, Basis Neuro strives to provide an open model for applying the achieved results and enabling the business to employ neural interfaces while experimenting and competing in the market.

The end-user will benefit from the ability of a neuroproduct to control wireless devices using the power of thought, without the need for any physical effort, as well as the ability of services to adapt to the psycho-emotional state of a person. Manufacturers will appreciate the ability of neural interfaces to offer a new level of service and a new kind of products thus emphasizing the development of technologies that allow working with human brain and creating adaptive reality rather than upgrading devices.

BOTH END-USERS AND MANUFACTURES WILL ENJOY THE ABILITY OF NEUROTECHNOLOGIES TO OVERCOME THE PHYSICAL LIMITATIONS OF THE BODY ALONG WITH THE POSSIBILITY TO INTERACT FASTER, ACHIEVE GOALS QUICKER, MANAGE MORE TASKS.

SCIENTIFIC FOUNDATIONS OF THE METHOD

The development of self-learning data processing methods is one of the significant factors that will help popularize brain-computer interfaces (gadget or other device).

It is necessary not only to learn how to read and distinguish between different brain signals, but also to accurately decode what the person wanted to do (movement or action) in sending a particular mental command. Without an accurate mechanism for interpreting brain signals, the production of applied products and services for everyday use would not be possible. The main goal of the project is to develop a neural network system for isolating patterns from the multivariate "electroencephalogram" signal (hereinafter EEG). A head mounted device registers the activity of the key parts of the brain thus obtaining a bio currents curve, then the received patterns significant for the human-machine interface are classified.

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Basis Neuro achievements include the certificates and patents in the field of human-machine interfaces. One of them is the method for planning the actions of a multipurpose autonomous robot that interacts with a person using gestures and recognizes images in real time through predicting the behavior of an object in the field of view (RFBR, MOL_A_2012 No. 12-01-31266). A method for transmitting brain signals to a computer has been developed, which made possible non-verbal communication (draft. Federal Target Program No. 02.512.11.2196). New neural network methods for classifying human mental commands in the multi-channel signal of the electroencephalogram (Certificates of state registration for software No. 2011612814 and No. 2013619351) have been developed for BCI, mental commands being based on imaginary arm, foot and tongue movements1.

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1 Lazurenko, D. M., Kiroy, V. N., Aslanyan, E. V., Shepelev, I. E., Bakhtin, O. M., & Minyaeva, N. R. (2017). ELECTROGRAPHIC CHARACTERISTIES OF MOVEMENT-RELATED POTENTIALS. ZHURNAL VYSSHEI NERVNOI DEYATELNOSTI IMENI IP PAVLOVA, 67(4), 430-444.

2 Kiroy, V. N., Bakhtin, O. M., Minyaeva, N. R., Lazurenko, D. M., Aslanyan, E. V., & Kiroy, R. I. (2015). Electrographic Correlations of Inner Speech. Zhurnal vysshei nervnoi deiatelnosti imeni IP Pavlova, 65(5), 616-625

3 Kiroy, V. N., Lazurenko, D. M., Shepelev, I. E., Minyaeva, N. R., Aslanyan, E. V., Bakhtin, O. M., ... & Vladimirskiy, B. M. (2015). Changes in EEG spectral characteristics in the course of neurofeedback training. Human Physiology, 41(3), 269-279.

4 Shepelev I.E. Identification of the Hierarchical Data Structure. Pattern Recognition and Image Analysis, 2011, Vol. 21, No. 2, pp. 211–214.

The features of EEG signals were studied experimentally for real and mental performance of arm, foot and tongue movements1. It is shown that specific EEG patterns associated with the performance of mental movements can be detected in real time at a rate of up to 500 ms. In order to construct brain-computer interface the possibility to use the spectral EEG characteristics of a human and EEG patterns related to the mental pronunciation of words was explored2. To study the spectral characteristics of the EEG a program interface for visual feedback of the mental command results (Certificate of state registration for software No. 2013619430) was developed and the human learning ability to control the spectral characteristics of their brain activity was studied3.

A neural network method for analyzing the structural organization of data in a feature space is proposed to classify EEG patterns. The method allows extracting hidden knowledge about the data structure4.

The conducted studies have virtually solved the significant problem of short-term forecasting.

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The novelty of the project consists in using the patented method of human electroencephalogram (EEG) event-oriented analysis based on neural network algorithms that provide recognition of arbitrary mental commands in real time. Interface settings and calibration allows taking into account the individual characteristics of the user's brain and its current functional state1. The software that provides neural feedback uses spatial-frequency-temporal characteristics of the brain signals. The algorithms and methods aimed at decoding and interpreting these characteristics allow wireless transmission of the selected control commands to a variety of mobile devices2.

The project team has developed and successfully applies the procedures of spatial (multivariate) EEG signal filtering in order to increase the signal-to-noise ratio and informative character of detectable EEG patterns. New methods for interpreting the brain signal "constancy" and the method of automated mental command detection are created, by virtue of neural network-based self-learning algorithms such as self-organizing incremental artificial neural networks. This enables a user to adaptively build an individual set of mental commands. The method is based on constructing an autoregressive neural network model for predicting the EEG signal for a short time interval.

THE METHOD OF NEURAL NETWORK APPROXIMATION OF INPUT DATA

1 V.N. Kiroy, E.V. Aslanyan, D.M. Lazurenko, N.R. Minyaeva, O.M. Bakhtin. Effciency analysis of voluntary control of human’s EEG spectral characteristics // Journal of Integrative Neuroscience. 2016, Vol. 15, No. 01, pp. 97-108

2 V. N. Kiroy, D. M. Lazurenko, I. E. Shepelev, N. R. Minyaeva, E. V. Aslanyan, O. M. Bakhtin, D. G. Shaposhnikov, and B. M. Vladimirskiy. Changes in EEG Spectral Characteristics in the Course of Neurofeedback Training. J. Human Physiology, 2015, Vol. 41, No. 3, pp. 269–279

27

The proposed method makes it possible to develop new interactive mobile applications using the technology of augmented and virtual reality, to manipulate controllable objects through the neural interface and voluntary mental commands representing motor imagery.

Thus, the developed classification method consists in neural interface ability (1) to learn quickly and efficiently having small amounts of data and (2) to be trained in real time. A neural network system consisting of three co-operating neural networks - a neural network to interpret the background signal constancy, a neural network to detect mental commands and a neural network to classify commands - has a new property not typical for self-learning signal recognition methods, namely, the automatic generation of training samples. Moreover, the architecture of neural networks is original due to the heterogeneity of its hierarchical structure because it is composed of specialized data accumulation modules. The heterogeneous structure allows an open loop brain-computer interface. Contemporary practice of applying learning methods to process data clearly shows that using a combination of algorithms often improves the characteristics of the system1. The combinations of algorithms to improve the accuracy of classification or regression have become a standard. In addition, the developed sliding data training scheme with a constant dynamic training algorithm to a new context adds to the novelty of the proposed model.

Development of such neural network structures is aimed at obtaining qualitatively new characteristics of a human-machine system. The neural network system application that we propose can be easily generalized to other types of human-machine interfaces, for example, gesture control of technical devices through analyzing video signals, voice or multi-channel electromyographic signals. What is more, it made it possible to significantly reduce and simplify the person's "acquaintance" with the neural interface minimizing time and optimizing the process of calibrating the devices for a specific user and training them to interact with each other, which is the key factor in creating customer-oriented neuroservices and products.

1 Seni, G., & Elder, J. F. (2010). Ensemble methods in data mining: improving accuracy through combining predictions. Synthesis Lectures on Data Mining and Knowledge Discovery, 2(1), 1-126.

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4 BASIS NEURO PLATFORM: NEURAL INTERFACES FOR THE MASS MAKET

Intensive research work and numerous technological developments enabled Basis Neuro to create an open platform with extensive service and technological support.

Basis Neuro is ready to offer its Neuro ToolKit that includes a technology (a ready-to-use headset, if necessary), unique algorithms for decoding mental commands, a database of decoded brain signals and patterns , an access to experts in this industry, as well as technical and scientific support. Neuro ToolKit is completely sufficient for the development of neuronally controlled products and available to any business, service or manufacturing company that want to offer a neural interface to its customers and users.

The users of the platform get access to new algorithms, their updates, a complete database of decoded brain patterns and all new technologies developed by Basis Neuro, including professional support for their development and implementation.

Elaborating the platform, Basis Neuro is concerned with decoding brain signals, ensuring the development and versatility of the proposed algorithms, the security of technology for users, updating of existing database of decoded brain signals and professional services for all users.

THE GOAL OF BASIS NEURO PLATFORM IS TO MAKE NEUROTECHNOLOGIES ACCESSIBLE TO ANY BUSINESS AND TO PROVIDE THE MASS MARKET WITH NEURO-PRODUCTS AND SERVICES.

29

Each registered user, depending on the pricing plan, gets access to all the key features and options of Basis Neuro technologies. Besides, Basis Neuro provides additional options of decoding brain signals for specific industries and products. Basis Neuro uses its own laboratory resources to create technical solutions, which guarantees the results to be compatible with the core technology.

The users of the platform can share their ideas on designing and creating ready-to-use nueroproducts and can be involved in forming an independently regulated market of core competencies, thus becoming the authorized partners. Basis Neuro believes that its platform enables the developers to enter new industries to expand the market and improve neurotechnologies significantly faster than small-scale production of single products.

BASIS NEURO BELIEVES THAT ITS PLATFORM ENABLES THE DEVELOPERS TO ENTER NEW INDUSTRIES TO EXPAND THE MARKET AND IMPROVE NEUROTECHNOLOGIES SIGNIFICANTLY FASTER THAN SMALL-SCALE PRODUCTION OF SINGLE PRODUCTS.

As a result, with Basis Neuro platform, companies get an opportunity to enter the market of neuroproducts within a few months, having full freedom to develop their services and compete in the market. Research laboratories and experts can participate in the development of neurotechnologies and join real-world projects in this field.

Working in the emerging market, Basis Neuro offers professional support, as well as educational and popular science content for all its users, becoming a popularizer of neurotechnologies and a competence center to stimulate the practical and experimental development of the neural market.

The database of decoded brain signals available to the users of the platform employs specialized formats which in the near future are likely to be standardized. This will further increase the accessibility of neurotechnologies by unifying key data formats.

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PLATFORM BUSINESS MODEL

The core of the platform is the combination of technological, scientific and service developments available to the platform users.The users of the platform are leading producers, developers and service providers, experts and research laboratories of BCI market.

MAIN GOALS AND TASKS

• Access to services, technologies and information support to develop products with neurointerfaces.

• Application and integration of neural interfaces into currently used products or services.• New product development with hardware, algorithms and a pattern database from

Basis Neuro.• Integration of neural interfaces into technologies created by external developers.• Development of a fundamentally new BCI product "from idea to launch" with the support

of Basis Neuro specialists.• Access to resources and a team of competitive specialists.• Technical support to the platform users.• Promotion of neurotechnologies to capture the audience.

KEY SERVICES AND FUNCTIONS

• Hardware and / or a headset for recording and decoding brain impulses.• Hardware elements for integrating neural interfaces into a number of ready-to-use

technologies and devices.• Software compatibility with all modern operating systems and development

environments.• Neurosensors that do not require applying gel or using bulky devices.• Access to an extensive and regularly updated database of brain signals and brain

patterns. The database is generated by self-learning algorithms.

Product developers and service providers in medicine, VR, education, home automation, neuromarketing and human condition monitoring who want to use neural interfaces as a supplement tool to control and diagnosis systems

Research laboratories offering the development of BCI-based services and technologies

PL ATFORM USERS

Engineers and designers who develop BCI devices

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• Patented data analysis algorithm operating in real time with high speed and reliability, with AI technologies capable of autonomous learning and adaptive adjustment.

• Rapid hardware integration into new projects with universal SDK / API.• High precision automatic calibration of neurodevices.• Dynamic system configuration to meet the requirements of a particular user.

PRODUCTS AND SERVICES

• Basis Neuro Toolkit including Basis Neuro headset to develop original projects.• Additional Basis Neuro headset for recording brain signals at a fixed price.

Monetizing services:

• Subscription for updates (regular payment). This service is optional.• Ready-to-use solutions to meet user needs (within partnership agreement).• Customized development of decoding algorithms (within partnership agreement).• Maintenance and support of neurotechnologies.• Application and service advertisement for experts, developers and research laboratories

(subscription fee).

INTERACTION CHANNELS

The main tool for interacting with the audience is a Web portal where users can learn about platform's functions, register, order services, and get expert support and access to the database of registered partners as well as to products and services provided by Neuro Basis. Basis Neuro portal offers an interactive assistant to choose the most preferred configuration of Basis Neuro Toolkit.

Basis Neuro is aimed at promoting neurotechnology, offering popular science and educational content, involving the audience and raising its own profile.

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PLATFORM PLANS AND PRICING FOR COMPANIES AND DEVELOPERS

First companies register on the platform, select the pricing plan and then access Neuro ToolKit, which includes selected hardware, SDK and the algorithm for decoding mental commands. The database of decoded mental patterns is also available.

How to access the platform:

1. A user is provided with technical advice and support and then selects the connection scheme. Then the application is registered and the user fills in an online registration form.

2. The user submits online payment (credit cards, PayPal, etc.), or by legal entity invoicing.3. After confirming the payment, the passwords for downloading the software are available

as well as the access to the personal account and information on delivering the ToolKit (depending on the pricing plan).

4. Users are provided with full technical and user documentation and expert support to assist the setup.

5. The user implements SDK integration using their own support services.6. The user inserts the ToolKit chip into their devices, or conjoins them (for example,

external connection of a neuro headset to a VR headset).7. If necessary, the user develops their mobile/desktop application for end users to control

their neural product.8. The user performs postprocessing and debugging, submits an application to the app store

and launches marketing services.9. The user is provided with technical support and consulting service to integrate new

technologies into their own products (step 5-9).

In addition, platform users can order the required number of hardware items, additional Basis Neuro headsets, pay extra for software updates, request customized decoding of specific brain signals or ready-to-use neuroproducts within the partner program. Users can get technical support and business advice at the stage of development and connection.

If necessary, users can connect additional resources authorized by Basis Neuro: service design, manufacturers of neuroelectronics and other technologies and devices, and interaction with technological exhibitions and hackathons as well as mobile and desktop app distribution platforms.

Basis Neuro expenditures include team expenses, marketing costs and expenses for product modification and serial production.

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PLATFORM CONNECTION FOR EXPERTS AND MARKET PARTICIPANTS

Basis Neuro is accessible to equipment manufacturers, experts, research laboratories and other market participants that can offer their services to a wide range of companies.

How to access the platform:

1. If you are an expert in neurotechnologies or a representative of a research company, access the platform to:• Receive orders.• Offer your services to platform users.• Receive up-to-date information on the development of neural interfaces.

2. An expert registers on the platform, fills in a personal profile, indicating their core competencies, services offered and contacts.

3. Experts have to pay to use their public profile as an advertising space for their services and options.

4. All profiles are moderated and confirmed.5. Registered users are subscribed to news feeds and channels and have access to

messenger bots; platform users can submit and track requests for their services in their personal accounts.

Registration for experts is free. They pay for advertising their services and projects and make profit by participating in projects of other developers.

OPTIONS FOR END USERS

Basis Neuro platform offers a catalog of solutions, where the user can get information about existing services and choose the targeted one. End users gain access to neuroproducts and services by downloading applications from the AppStore or GooglePlay and desktop applications and by using a headset (the headset is purchased once and afterwards will be compatible with a variety of platform-based developments). Users pay for their order and access to free or paid application.

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ENGAGING THE AUDIENCE AND PROMOTING THE PLATFORM

The platform informs potential partners, developers and customers from among the professional audience about the services and options offered, puts forward implementation methods for their own products and services, provides expert consulting and support.

Engaging new users:

1. First the platform user looks through its main content and then moves to Offers and Services section.

2. Next the user is offered a list of neuroproducts that can be implemented on a platform basis, and an "interactive designer" that asks a number of questions and suggests choosing a number of parameters. Then it helps to choose the optimal product and interaction with Basis Neuro.

3. The user can create their own headsets and combine them with specially designed Basis Neuro hardware.

4. Then the user gets pricing information, learns about infographics and pricing plans to start using Basis Neuro products.

5. Potential users can request technical help and scientific advice from platform experts. What is more, Basis Neuro specialists are ready to consult their partners on business models for neuroproducts and estimate the value of new technologies for their end users.

6. If necessary, potential users can get on-site consultation with technology demonstration.

THE GOAL OF BASIS NEURO PLATFORM IS TO MAKE NEURO TECHNOLOGIES AVAILABLE TO ANY BUSINESS AND INDUSTRIES AND TO PROVIDE THE MASS MARKET WITH NEURO PRODUCTS AND SERVICES.

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HOW THE PLATFORM WORKS

1. The developer purchases SDK on Basis Neuro platform.

2. The developer gets a license key to be registered with the blockchain system keeping track of it.

3. The developer creates their own application and makes it available in the library format with the blockchain keeping track of the copyright.

4. The application can be free or paid and is used as the basis for neurointerface development.

5. Besides, the developer can create their own BCI-based devices and sell them in our online store.

6. The user downloads free or paid application and buys a headset if necessary.

7. When the user pays for downloading the application, the developer automatically receives smart contract payment with the blockchain system keeping track of it.

8. Basis Neuro is the Open Source platform.

Platform partners can buy BIGData or interact with developers and users through the platform.Blockchain system ensures the integrity of all data, the payment and the copyright.

1 2

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Big Data

Algorithms

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Devices

6

7

8

9

4

3

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WHITE LABEL: BASIS NEURO INSIDE

The key option of Basis Neuro project is its integration into third-party devices and systems.

Basis Neuro will allow partner companies to use its technology to develop technological complexes under their own brand. User data collected by the partner companies will be used in common data storage and processing system for technological development.

BLOCKCHAIN TECHNOLOGIES

The core value of the blockchain system – decentralized and secure data storage –will be used on Basis Neuro platform for the following purposes:

• Secure storage of user data, keeping track of SDK purchasing, SDK licensing. • Copyright protection, registration of new products and services. • Optimization of platform business processes.

KEY ADVANTAGES

Accessibility

Flexibility Security

Expansion into new markets

Versatility

BASIS NEURO

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Accessibility

For small and medium-sized businesses or independent users, the development of neuroproducts from scratch is considered to be as a large-scale project, which is not feasible in terms of financial resources and scientific content. Basis Neuro platform is based on proven and confirmed studies. Basic Neuro specialists have already done all technology-intensive work so that developers can focus on business models and functionality of their products.

Versatility

Existing market solutions are not universal. As a rule, they are focused on the end user, and integrating such solutions into new business models results in long-term and labor-intensive projects.

While most developers on neurotechnology market concentrate on the end user and develop specialized products with a limited range of functions, Basis Neuro offers a universal ToolKit that can be successfully applied in a wide range of areas (medicine, entertainment, education) for a variety of needs (monitoring, management, development of cognitive abilities or gaming).

Expansion into new markets

Since neurotechnologies have appeared quiet recently, they are not popular among non-professional users and aren’t applied in everyday life. As a result, businesses are reluctant to introduce neutotechnologies into their focus area because of the risks associated with marketing, promotion and people’s unpreparedness to use them.

The versatility of Basis Neuro products will eventually turn the platform into a large-scale online resource. This will create a loyal audience of end users and provide developers with easy access to potential customers.

NEW 3D HEADSET MODEL OFFERS A NEW LEVEL OF WEARABILITY AND COMFORT.

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Flexibility

To start working on your own product it will be enough to buy Basis Neuro ToolKit, which includes SDK and access to the database of mental patterns and algorithms for recognizing brain signals.

Nevertheless, Basis Neuro team has sufficient expertise and experience to support projects that involve integration of sensors into already used headsets (for example, VR helmets or headsets for air traffic controllers).

Security

One of the top priorities of Basis Neuro is providing security for end-users and platform developers.

Algorithms for decoding mental commands and the database of mental patterns are verified by scientific research and publications and proved by practical applications in various device prototypes.

5 ICO STRUCTURE

ICO GOALS

The ICO main goal — funding the development and advancement of the platform for BCI product and service developers as well as proprietary product development.

DEVELOPMENT OF A BCI PLATFORM

Basis Neuro platform - an infrastructure that contributes to new-generation BCI product development and BCI integration into existing businesses. The investment required to create a platform is estimated at $50 mln. These funds will be used to provide legacy support and testing of software environment. Since Basis Neuro is a ready-made company having proprietary developments and software solutions rather than a concept, the required amount is significantly lower than investments in similar business projects. In comparison, the average investments in software platform development exceed $100 mln:

BCI MASS PRODUCTION

Based on the existing neural interface the Basis Neuro team will develop facilities for the BCI mass production and marketing, as well as the manufacture and legacy support of the ToolKit for Basis Neuro platform users. To launch mass production requires the investments of $10 million that will cover creating a production line, debugging the production process, training staff, promoting and marketing the finished product. The advantage of Basis Neuro is that the features of the neural interface have already been developed and are ready for mass production, since all research studies have been carried out. The launch of mass production is a large-scale project but due to cost optimization at the initial stage, the amount of investment required is lower than the average in creating similar high-tech devices.

Fuze $334 mln

Unity $181 mln

Freshdesk $150.5 mln

Communication cloud platform 2D and 3D game development platform

Self-service platform to automate customer assistance

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For example, to develop and launch mass production of BCI devices required the following investments by:

LEGAL ASPECTS

Basis Neuro cooperates with Deloitte in addressing the legal and tax issues of launching the project and legalizing the tokens in the countries suitable for project implementation as well as the application of services and technologies. In particular, the possibility of legitimate sale of tokens to US citizens is being explored. Jurisdiction - the Cayman Islands. Company legal structure - a limited liability in regards to partial reimbursement for the service and product cost in the future, including SDK purchase and franchise fee.

DISTRIBUTION OF TOKENS

Jowbone $165 mln

Oculus Rift $75 mln

Pebble $73 mln totally

Fitness tracker VR headset Smartwatch

10 000 000 000 total number of tokens issued $0,02price per 1 token

$5 МЛН ICO minimum financial objective

$97 МЛНICO maximum financial objective

The bonus system will be announced with the ICO start. Bounty-programme will be announced with the ICO start.

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FUNCTIONS OF A TOKEN

The Token functions in the system as part of the model:

1. Investors – device users, platform developers, company partners (including those who have developed their solutions for the market).

2. Users can purchase ready-made solutions and services of our platform.

3. Developers can purchase SDK and White Label.

4. Partners can make use of our tokens to carry out mutual settlements.

5. These transactions both cover the full cost of goods and services and can provide a discount on their purchase depending on the interaction conditions.

6. Users are rewarded with tokens for providing data when using ready-made solutions.

7. Developers are rewarded with tokens from the innovation fund for providing ready-made solutions.

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6 ROADMAPПЛАН РАЗВИТИЯ

To develop and advance a proprietary interface with the database, market launch.

To develop a full-fledged working prototype.

To develop sensors for reading neuro signals that operate without gel ("dry electrodes").

To develop Basis Neuro platform.

To create and implement a data storage and analysis system.

To release the first version of the neural interface for home use.

Neural interface-based smart headphones.

To develop a web portal for providing the interaction between platform participants and to start online sales and service.

To provide access to the beta version of the platform and its scaling (initial integration of blockchain technologies).

BrainFitness neural interface.

Sleep monitoring interface.

Neurocontrol in virtual reality.

Monitoring in virtual reality/ Non-Linear Plot Games.

To set up a laboratory for product developers.

To create solution package to integrate with b2b:

Efficiency monitoring.

Solutions for dangerous jobs.

To integrate neural interface with IoT devices.

To obtain a medical license to use the interface for treatment and rehabilitation.

To launch White label software and electronics for third-party developers.

To establish partnership with major game developers.

Full-scale integration of the platform with IoT and smart homes.

Development of Neuromarketing Solution Package and market launch.

Full VR immersion.

An integrated system development.

2017

2018

2019

2020

2021

2022

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The minimum amount to prepare for sales.Developing facilities to produce neural interface on the basis of existing prototypes:

• purchase of necessary equipment.• production line set up.• preparation of documents and certification.• remuneration of the ICO team and developers.• entry to US market.

Platform design:• development of facilities to produce neural interface.• marketing and PR (USA, Canada, United Kingdom).• software update.• platform design.

Increase in market opportunities:• development of facilities to produce neural interface.• marketing and PR (USA, Canada, United Kingdom and European Union).• software update.• platform design.• development and implementation of data and analytics storage system.• development and integration of neural interface with wearable devices.• development of platform beta version.

Project tasks completion:• development of facilities to produce neural interface.• marketing and PR (USA, Canada, United Kingdom, European Union.

Australia, Japan, Korea, Singapore, Arab states).• software update.• platform design.• development and implementation of data and analytics storage system.• development and integration of neural interface with wearable devices.• platform development and testing.• launch of BCI-based VR headset and applications.• integration of the platform with IoT.• brainfitness neural interface development.• sleep monitoring system development.• development of neurocontrol system and monitoring in virtual reality.• neuromarketing solution package launch.• launch of White label software and hardware for third-party developers.• conducting further research.• fund for developers and researchers in the field of neurotechnology.

DISTRIBUTION OF INVESTMENTS

$5mln

$10mln

$30mln

$97mln

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EXPENDITURE PLAN

BUDGET $5 mln $10 mln $30 mln $50 mln $97 mln

New research tools to improve platform functionality and solutions

5% 7% 7% 6% 5%

Hardware advancement for platform developers and increasing a range of products

15% 10% 7% 9% 10%

Development of new functions for neural interface 40% 35% 35% 30% 30%

Entry to a new market and introduction of new products and services

5% 7% 8% 8% 8%

Marketing 25% 30% 30% 30% 30%

Improvement of platform Big Data Analytics 5% 6% 7% 10% 10%

Administrative costs 5% 5% 6% 7% 7%

Total 100% 100% 100% 100% 100%

BUDGET $5 mln $10 mln $30 mln $50 mln $97 mln

New research tools to improve platform functionality and solutions

250 000 700 000 2 100 000 3 000 000 4 850 000

Hardware advancement for platform developers and increasing a range of products

750 000 1 000 000 2 100 000 4 500 000 9 700 000

Development of new functions for neural interface 2 000 000 3 500 000 10 500 000 15 000 000 29 100 000

Entry to a new market and introduction of new products and services

250 000 700 000 2 400 000 4 000 000 7 760 000

Marketing 1 250 000 3 000 000 9 000 000 15 000 000 29 100 000

Improvement of platform Big Data Analytics 250 000 600 000 2 100 000 5 000 000 9 700 000

Administrative costs 250 000 500 000 1 800 000 3 500 000 6 790 000

Total 5 000 000 10 000 000 30 000 000 50 000 000 97 000 000

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BUDGET PLATFORM DIRECTIONS FUNCTIONS MARKETS

$5mln

SDK sales Neural interface for home use

Mental control of home appliances simple functions

USA

$10mln

Haredware sales, white label VR

Neurocontrol system and monitoring in virtual reality

USA, Canada, UK

$30mln

Access to user data Medicine Rehabilitation USA, Canada, UK, European Union

$50mln

Blockchain B2b solutions

Solutions for dangerous jobs.Efficiency monitoring

USA, Canada, United Kingdom, European Union, Australia, Japan, Korea, Singapore, Arab states

$97mln

Development laboratory + developers fund and technology expansion: all funds raised that will exceed the amount of $ 97 million will be used to create a fund to allocate grants for supporting developers and researchers in the field of neurotechnology.

An integrated system

A system integrating all areas and functions, smart home

Global market (devices and platform, marketplace)fund and further research

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7 TEAM AND PARTNERSКОМАНДА ПРОЕКТА

NIK SVIRIDOVCEO

General leadership, strategy, idea, philosophy.

Higher technical and economic education.

Experience in running IT business for 7 years.

MARIA VYLEGZHANINACMO

Managing Director MDK Creative Agency. Experience in Digital, SMM and creative

for more than 8 years. Experience in the financial sector and software Eset Nod32,

international news agency.

DMITRY LAZURENKOCTO

Management of scientific and technical developments. Experience of work as a junior

researcher at the Research Institute for Neurocybernetics named A.B. Kogan SFedU.

Scientific employee of the Center of Neurotechnology of Southern Federal University.

YURI GUSACHCHIEF ENGINEER

Supervises and personally leads the development and implementation of electronics.

Experience of work as a leading engineer, an electronic engineer of the 1st category.

Head of the design office of "KorVita" LLC.

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IGOR SHEPELEVDEVELOPER OF ALGORITHMS

Develops a neural network - the main component of the platform. Candidate of

Technical Sciences. Work experience as a leading researcher of the Center of

Neurotechnology. Award for the best research work of the Southern Federal

University in 2008, the Prize of the individual projects competition "Breakthrough of

the Year" of the Southern Federal University in 2010.

VLADIMIR ZOLOTUKHINENGINEER

Development of electronics and firmware.

ALEX SAKHAROVANALYSIS OF MARKETS, FINANCE

Candidate of Economic Sciences - management of investments, capitalization and

business value. Experience in managing financial assets. Experience in the

analysis of markets and business consulting. Senior lecturer of the financial

monitoring department of the Rostov State University of Economy. The author of

the courses "Anti-Money Laundering (AML / KYC) and the finances of transnational

corporations ".

EKATERINA KLIMENKOHEAD OF WEB DEVELOPMENT

AND SUPPORT OF THE TECHNICAL PART OF ICOMore than 5 years of experience in managing IT projects.

LEGAL AND TAX SUPPORT OF THE PROJECT International network of companies providing consulting and auditing services. It is included in the "Big Four" of audit companies and is the largest professional network in terms of the number of employees.

CYBER SECURITY Group IB is an international company that specializes in the prevention and investigation of high-technology crime.

PARTNERS

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8 APPENDIX

PATENT

Vladimirsky B.M., Vladimirsky B.B., Kan M.N., Shepelev I.E. A method for classification of electroencephalographic signals in the brain-computer interface. Patent for invention № 2415642, 10.04.2011.

CERTIFICATES OF STATE REGISTRATION FOR SOFTWARE

1. Lazurenko, D. M., Shepelev I. E., Krutov A. D. A program for analysis of evoked activity of human brain in the virtual keyboard. Certificate of state registration for software №2016611863, February 12, 2016. Federal Service for Intellectual Property, Patents and Trademarks.

2. Shepelev I.E., Lazurenko D.M. A program for neurofeedback-based mental actions training in game. Certificate of state registration for software №2014663249, December 30, 2014. Federal Service for Intellectual Property, Patents and Trademarks.

3. Shepelev I.E., Lazurenko D.M. A program for real time neurofeedback-based motor imagery training for brain-computer interface. Certificate of state registration software № 2013619431, October 4, 2013. Federal Service for Intellectual Property, Patents and Trademarks.

4. Shepelev I. E. A program for neural network detection of EEG patterns related to mentally performed movements in real time. Certificate of state registration for software №2013619351, October 2, 2013. Federal Service for Intellectual Property, Patents and Trademarks.

5. Shepelev I. E. A program for EEG-based closed-loop BCI communication utilized frequency characteristics of brain signals. Certificate of state registration for software №2013617088, October 4, 2013. Federal Service for Intellectual Property, Patents and Trademarks.

6. Gusach Yu.I., Bondar G.G. Using specialized "A-tracking" software in order to solve cognitive tasks. Certificate of state registration for software № 2016611803, 10 February, 2016. Federal Service for Intellectual Property, Patents and Trademarks.

7. Gusach Yu.I., Bondar G.G. Selecting tags in EDF files for further analysis and comparison of bioelectric activity at different stages of cognition. Certificate of state registration for software № 2014610865, 2014. Federal Service for Intellectual Property, Patents and Trademarks.

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THE RESEARCH PROJECTS CARRIED OUT BY THE TEAM 1. The core component of state assignment: Investigation of the mechanisms for formation of multistability

states of brain activity, sensory perception and cognitive processes in order to develop effective neurotechnology of control and communication. N 6.5961.2017/8.9 (2017)

2. Basic funding: Research and modeling of neuro- and psycho-physiological mechanisms of the functional state of the brain, the active perception and the hierarchy of cognitive processes providing adaptive behavior. Project number 2014/174, state registration № 01201459281 (2014-2016) (Ministry of Education and Science of Russian Federation)

3. Project: The study of the perspectives of using information on the pilots’ functional state to improve flight safety. Contract № 7180 of 11.05.2011, state registration №01201250687, (Central Aerohydrodynamic Institute)

4. The Federal Basic funding: Research and modeling of neuro- and psycho-physiological mechanisms of the functional state of the brain, the active perception and the hierarchy of cognitive processes providing adaptive behavior. Project number 2014/174, state registration № 01201459281 (2014-2016) (Ministry of Education and Science of Russian Federation)Target Programme «Development of the civil aircraft for 2002-2010 and for the period until 2015», 2011)

5. Russian Foundation for Humanities, grant № 12-06-0034 «The influence of individual-typological features of a person on the effectiveness of self-regulation using biofeedback parameters of the EEG - № 12-06-00034 (2013-2014)

6. Internal SFedU Grant N 213.01-24/2013-53 The efficacy of surveillance results and characteristics of the electrical activity of the brain to develop methods for monitoring the functional state of individual pilots and air traffic control personnel. Anishenko S.I., Butenko V.S., Kiroy V.N., Lazurenko D.M., Petrushan M.V., Tambiev A.E., Shaposhnikov D.G., Shepelev I.E. State registration number in CITS: 1201366588, 2013

7. The project study and comparative analysis of electrographic patterns and mechanisms for formation of voluntary motor and mental activity. State registration number: 01201155040 (2011-2013)

MORE PUBLICATIONS AT — HTTPS://SFEDU.RU/PERSON/DMLAZURENKO

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