Synaptic convergence regulates synchronization-dependent spike transfer in feedforward neural networks

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Correlated neural activities such as synchronizations can significantly alter the characteristics of spike transfer between neural layers. However, it is not clear how this synchronization-dependent spike transfer can be affected by the structure of convergent feedforward wiring. To address this question, we implemented computer simulations of model neural networks: a source and a target layer connected with different types of convergent wiring rules. In the Gaussian-Gaussian (GG) model, both the connection probability and the strength are given as Gaussian distribution as a function of spatial distance. In the Uniform-Constant (UC) and Uniform-Exponential (UE) models, the connection probability density is a uniform constant within a certain range, but the connection strength is set as a constant value or an exponentially decaying function, respectively. Then we examined how the spike transfer function is modulated under these conditions, while static or synchronized input patterns were introduced to simulate different levels of feedforward spike synchronization. We observed that the synchronization-dependent modulation of the transfer function appeared noticeably different for each convergence condition. The modulation of the spike transfer function was largest in the UC model, and smallest in the UE model. Our analysis showed that this difference was induced by the different spike weight distributions that was generated from convergent synapses in each model. Our results suggest that, the structure of the feedforward convergence is a crucial factor for correlation-dependent spike control, thus must be considered important to understand the mechanism of information transfer in the brain.
Publisher
SPRINGER
Issue Date
2017-12
Language
English
Article Type
Article
Citation

JOURNAL OF COMPUTATIONAL NEUROSCIENCE, v.43, no.3, pp.189 - 202

ISSN
0929-5313
DOI
10.1007/s10827-017-0657-5
URI
http://hdl.handle.net/10203/228508
Appears in Collection
BiS-Journal Papers(저널논문)
Files in This Item
10.1007%2Fs10827-017-0657-5.pdf(2.52 MB)Download
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