Dynamical Systems and Accurate Temporal Information Transmission in Neural Networks

Details

Serval ID
serval:BIB_BEDD0D602CD7
Type
Inproceedings: an article in a conference proceedings.
Collection
Publications
Institution
Title
Dynamical Systems and Accurate Temporal Information Transmission in Neural Networks
Title of the conference
Advances in Cognitive Neurodynamics (II)
Author(s)
Villa A.E.P., Asai Y., Iglesias J., Chibirova O.K., Cabessa J., Dutoit P., Shaposhnyk V.
Publisher
Springer Netherlands
Address
Hangzhou, China
ISBN
978-90-481-9694-4
978-90-481-9695-1
Publication state
Published
Issued date
2011
Peer-reviewed
Oui
Pages
61-65
Language
english
Abstract
We simulated the activity of hierarchically organized spiking neural networks characterized by an initial developmental phase featuring cell death followed by spike timing dependent synaptic plasticity in presence of background noise. Upstream networks receiving spatiotemporally organized external inputs projected to downstream networks disconnected from external inputs. The observation of precise firing sequences, formed by recurrent patterns of spikes intervals above chance levels, suggested the build-up of an unsupervised connectivity able to sustain and preserve temporal information processing.
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Create date
04/08/2017 10:48
Last modification date
20/08/2019 16:33
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