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Motifs, algebraic connectivity and computational performance of two data- based cortical circuit templates

Koeppl, H. and Haeusler, S. (2009):
Motifs, algebraic connectivity and computational performance of two data- based cortical circuit templates.
In: Proceedings of the sixth International Workshop on Computational Systems Biology, pp. 83-86, [Online-Edition: http://infoscience.epfl.ch/record/131569?ln=en],
[Article]

Abstract

Based on extensive experimental work two templates for the laminae-specific connectivity pattern of cortical microcircuits have recently been published. We examine their structural and computational properties and attempt to correlate those properties. To characterize structure or circuit topology we consider the distribution of network motifs as well the algebraic connectivity of the network. In order to understand the computational properties of these two templates, we have generated computer models of them, consisting of Hodgkin-Huxley point neurons with conductance based synapses that have a biologically realistic short-term plasticity. The performance is assessed using nine generic computational tasks that require accumulation and merging of information contained in two afferent spike inputs.

Item Type: Article
Erschienen: 2009
Creators: Koeppl, H. and Haeusler, S.
Title: Motifs, algebraic connectivity and computational performance of two data- based cortical circuit templates
Language: English
Abstract:

Based on extensive experimental work two templates for the laminae-specific connectivity pattern of cortical microcircuits have recently been published. We examine their structural and computational properties and attempt to correlate those properties. To characterize structure or circuit topology we consider the distribution of network motifs as well the algebraic connectivity of the network. In order to understand the computational properties of these two templates, we have generated computer models of them, consisting of Hodgkin-Huxley point neurons with conductance based synapses that have a biologically realistic short-term plasticity. The performance is assessed using nine generic computational tasks that require accumulation and merging of information contained in two afferent spike inputs.

Journal or Publication Title: Proceedings of the sixth International Workshop on Computational Systems Biology
Divisions: 18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications > Bioinspired Communication Systems
18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications
Date Deposited: 04 Apr 2014 12:41
Official URL: http://infoscience.epfl.ch/record/131569?ln=en
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