Effect of increasing inhibitory inputs on information processing within a small network of spiking neurons

Details

Serval ID
serval:BIB_C841AE25B6AC
Type
Article: article from journal or magazin.
Collection
Publications
Title
Effect of increasing inhibitory inputs on information processing within a small network of spiking neurons
Journal
Lecture Notes in Computer Science
Author(s)
Sirovich  R., Sacerdote  L., Villa  A. E. P.
ISSN
0302-9743
Publication state
Published
Issued date
2007
Peer-reviewed
Oui
Volume
4507
Pages
23-30
Language
english
Notes
Sirovich200723
Abstract
In this paper the activity of a spiking neuron A that receives a background input from the network in which it is embedded and strong inputs from an excitatory unit E and an inhibitory unit I is studied. The membrane potential of the neuron A is described by a jump diffusion model. Several types of interspike interval distributions of the excitatory strong inputs are considered as Poissonian inhibitory inputs increase intensity. It is shown that, independently of the distribution of the excitatory inpu, they are more efficiently transmitted as inhibition increases to larger intensities.
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Create date
23/08/2010 15:52
Last modification date
20/08/2019 15:43
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