Systems Science & Informatics: Computational

Neuroscience

Kaushik Majumdar

Indian Statistical Institute

Bangalore Center

Computational Neuroscience

• Neural Information Processing

• Brain Functions Modeling

Computational Neuroscience

• Neural Information Processing

- Functional brain signals:

EEG, MEG, fMRI,

PET, SPECT

• Brain Functions Modeling

Computational Neuroscience

• Neural Information Processing

- Functional brain imaging:

EEG, MEG, fMRI,

PET, SPECT

• Brain Functions Modeling

- Single cell modeling- Network Modeling- Population Coding

Our Focus

• Neural Information Processing

- Functional brain imaging:

EEG (current)

fMRI (future)

• Brain Functions Modeling

- Network Modeling

Nature of EEG

My Most Recent Works on EEG

• Human Scalp EEG Processing: Various Soft Computing Approaches

- Submitted to Applied Soft Computing, Elsevier

• Fourier Uniformity

Most Recent Papers

• Fourier uniformity an useful tool for analyzing EEG signals with an application to source localization, IJCNN’09, Atlanta. http://arxiv.org/ftp/arxiv/papers/0904/0904.4499.pdf

• Constraining minimum norm inverse by phase synchronization and signal power of the scalp EEG channels, IEEE Trans. Biomed. Eng., vol. 56(4):1228, Apr 2009.

Epilepsy Center of the University Hospital of Freiburg, Germany

Epilepsy Research

Small Network Modeling

Neuron

Synapse

Astrocyte

Enterprise for Rewards

• Enterprising behavior – Actions taken to achieve a reward.

Two Persons Dynamic Game of Incomplete Information

• The person himself/herself is one of the players. The other is his/her environment.

• Objectives:

1. Expectation maximization.

2. Risk minimization.

• Open question – are (1) and (2) mutually independent?