simulating attentional blink with a neocortical attractor model

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BioMed Central Page 1 of 2 (page number not for citation purposes) BMC Neuroscience Open Access Poster presentation Simulating attentional blink with a neocortical attractor model David Silverstein* and Anders Lansner Address: School of Computer Science and Communication, Royal Institute of Technology, Stockholm, Sweden Email: David Silverstein* - [email protected] * Corresponding author This study simulates attentional blink or "blink of the mind," a phenomenon where a human subject misses perception of a later expected visual pattern as two expected visual patterns are presented less than 500 milli- seconds apart. With an abstract computational model of the neocortex, a cortical patch is stimulated with a sequence of patterns at varying time points. Patterns that become active attractors are considered recognized. A neocortical patch is represented as a square matrix of hypercolumns, each containing a set of minicolumns with synaptic connections both within and across both mini- columns and hypercolumns [1]. Each minicolumn con- sists of locally connected layer 2/3 pyramidal cells with interacting basket and bipolar/double bouquet interneu- rons. All neurons are implemented using the Hodgkin- Huxley multi-compartmental cell formalism and include calcium dynamics, synaptic depression and saturating AMPA, NMDA and GABA synapses. Active patterns are encoded with global connectivity of minicolumns across hypercolumns and they inhibit each other. Stored patterns were stimulated at sliding differential time points to create neural attractor interference measurable with synthetic electrode traces. The effect corresponded with human visual attentional blink studies. Additionally, studies on the inhibitory effect of the drug class benzodi- azopine on attentional blink in human subjects were compared with neocortical simulations where an inhibi- tory GABA receptor conductance was increased. Simula- tions showed increases in the attentional blink duration, agreeing with observations in human studies. Figures 1 and 2. from Eighteenth Annual Computational Neuroscience Meeting: CNS*2009 Berlin, Germany. 18–23 July 2009 Published: 13 July 2009 BMC Neuroscience 2009, 10(Suppl 1):P309 doi:10.1186/1471-2202-10-S1-P309 <supplement> <title> <p>Eighteenth Annual Computational Neuroscience Meeting: CNS*2009</p> </title> <editor>Don H Johnson</editor> <note>Meeting abstracts – A single PDF containing all abstracts in this Supplement is available <a href="http://www.biomedcentral.com/content/files/pdf/1471-2202-10-S1-full.pdf">here</a>.</note> <url>http://www.biomedcentral.com/content/pdf/1471-2202-10-S1-info.pdf</url> </supplement> This abstract is available from: http://www.biomedcentral.com/1471-2202/10/S1/P309 © 2009 Silverstein and Lansner; licensee BioMed Central Ltd. AB simulation with 5 of 9 stimulated minircolumns (18 trials) Figure 1 AB simulation with 5 of 9 stimulated minircolumns (18 trials).

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Page 1: Simulating attentional blink with a neocortical attractor model

BioMed CentralBMC Neuroscience

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Open AccePoster presentationSimulating attentional blink with a neocortical attractor modelDavid Silverstein* and Anders Lansner

Address: School of Computer Science and Communication, Royal Institute of Technology, Stockholm, Sweden

Email: David Silverstein* - [email protected]

* Corresponding author

This study simulates attentional blink or "blink of themind," a phenomenon where a human subject missesperception of a later expected visual pattern as twoexpected visual patterns are presented less than 500 milli-seconds apart. With an abstract computational model ofthe neocortex, a cortical patch is stimulated with asequence of patterns at varying time points. Patterns thatbecome active attractors are considered recognized.

A neocortical patch is represented as a square matrix ofhypercolumns, each containing a set of minicolumns withsynaptic connections both within and across both mini-columns and hypercolumns [1]. Each minicolumn con-sists of locally connected layer 2/3 pyramidal cells withinteracting basket and bipolar/double bouquet interneu-rons. All neurons are implemented using the Hodgkin-Huxley multi-compartmental cell formalism and includecalcium dynamics, synaptic depression and saturatingAMPA, NMDA and GABA synapses. Active patterns areencoded with global connectivity of minicolumns acrosshypercolumns and they inhibit each other.

Stored patterns were stimulated at sliding differential timepoints to create neural attractor interference measurablewith synthetic electrode traces. The effect correspondedwith human visual attentional blink studies. Additionally,studies on the inhibitory effect of the drug class benzodi-azopine on attentional blink in human subjects werecompared with neocortical simulations where an inhibi-tory GABA receptor conductance was increased. Simula-tions showed increases in the attentional blink duration,

agreeing with observations in human studies. Figures 1and 2.

from Eighteenth Annual Computational Neuroscience Meeting: CNS*2009Berlin, Germany. 18–23 July 2009

Published: 13 July 2009

BMC Neuroscience 2009, 10(Suppl 1):P309 doi:10.1186/1471-2202-10-S1-P309

<supplement> <title> <p>Eighteenth Annual Computational Neuroscience Meeting: CNS*2009</p> </title> <editor>Don H Johnson</editor> <note>Meeting abstracts – A single PDF containing all abstracts in this Supplement is available <a href="http://www.biomedcentral.com/content/files/pdf/1471-2202-10-S1-full.pdf">here</a>.</note> <url>http://www.biomedcentral.com/content/pdf/1471-2202-10-S1-info.pdf</url> </supplement>

This abstract is available from: http://www.biomedcentral.com/1471-2202/10/S1/P309

© 2009 Silverstein and Lansner; licensee BioMed Central Ltd.

AB simulation with 5 of 9 stimulated minircolumns (18 trials)Figure 1AB simulation with 5 of 9 stimulated minircolumns (18 trials).

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Page 2: Simulating attentional blink with a neocortical attractor model

BMC Neuroscience 2009, 10(Suppl 1):P309 http://www.biomedcentral.com/1471-2202/10/S1/P309

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References1. Lundqvist M, Rehn M, Djurfeldt M, Lansner A: Attractor dynamics

in a modular network model of neocortex. Network: Computa-tion in Neural Systems 2006, 17:253-276.

2. Boucart M, de Visme P, Wagemans J: Effect of benzodiazepine ontemporal integration in object perception. Psychopharmacology(Berl) 2000, 152:249-255.

Human AB benzodiazepine study [2]Figure 2Human AB benzodiazepine study [2].

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