An Effect of Short and Long Reciprocal Projections on Evolution of Hierarchical Neural Networks

Details

Serval ID
serval:BIB_14CC4396D521
Type
Inproceedings: an article in a conference proceedings.
Collection
Publications
Institution
Title
An Effect of Short and Long Reciprocal Projections on Evolution of Hierarchical Neural Networks
Title of the conference
Artificial Neural Networks and Machine Learning – ICANN 2012
Author(s)
Shaposhnyk V., Villa A.E.P.
Publisher
Springer Berlin Heidelberg
Address
Lausanne, Switzerland
ISBN
978-3-642-33268-5
978-3-642-33269-2
ISSN
0302-9743
1611-3349
Publication state
Published
Issued date
2012
Peer-reviewed
Oui
Volume
7552
Series
Lecture Notes in Computer Science (LNCS)
Pages
371-378
Language
english
Abstract
We investigated the effect of reciprocal connections in a network of modules of simulated spiking neurons. The neural activity is recorded by means of virtual electrodes and EEG-like signals, called electrochipograms (EChG), are analyzed by time- and frequency-domain methods. Bio-inspired processes in the circuits drive the build-up of auto-associative links within each module, which generate an areal activity, recorded by EChG, that reflect the changes in the corresponding functional connectivity within and between neuronal modules. We found that circuits with short inter-layer reciprocal projections exhibited enhanced response as to the stimulus, as to the inner-activity and long inter-layer projections make circuit exhibit non-coherent behavior. We show evidence that all networks of modules are able to process and maintain patterns of activity associated with the stimulus after its offset.
Keywords
hierarchical neural networks, evolvable neural networks, electroencephalography, reciprocal projection
Create date
04/08/2017 10:20
Last modification date
21/08/2019 6:12
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