Special Issue: Spiking Neural Networks; Guest Editors: Nazmul Siddique, Bernard Widrow and Liam MaguireNo Access

SIMULATING VERTICAL AND HORIZONTAL INHIBITION WITH SHORT-TERM DYNAMICS IN A MULTI-COLUMN MULTI-LAYER MODEL OF NEOCORTEX

BEATA STRACK

Department of Computer Science, Virginia Commonwealth University, Richmond, VA, USA

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KIMBERLE M. JACOBS

Department of Anatomy and Neurobiology, Virginia Commonwealth University, Richmond, VA, USA

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, and

KRZYSZTOF J. CIOS

Department of Computer Science, Virginia Commonwealth University, Richmond, VA, USA

IITiS Polish Academy of Sciences, Poland

Corresponding author.

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https://doi.org/10.1142/S0129065714400024Cited by:19 (Source: Crossref)

Abstract

The paper introduces a multi-layer multi-column model of the cortex that uses four different neuron types and short-term plasticity dynamics. It was designed with details of neuronal connectivity available in the literature and meets these conditions: (1) biologically accurate laminar and columnar flows of activity, (2) normal function of low-threshold spiking and fast spiking neurons, and (3) ability to generate different stages of epileptiform activity. With these characteristics the model allows for modeling lesioned or malformed cortex, i.e. examine properties of developmentally malformed cortex in which the balance between inhibitory neuron subtypes is disturbed.

Keywords:

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