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Mean-field analysis of selective persistent activity in presence of short-term synaptic depression
 

Summary: Mean-field analysis of selective persistent activity
in presence of short-term synaptic depression
Sandro Romani
, Daniel J. Amit
and Gianluigi Mongillo
November 22, 2005
Abstract
Mean-Field theory is extended to recurrent networks of spiking neurons
endowed with short-term depression (STD) of synaptic transmission. The
extension involves the use of the distribution of interspike intervals of an
integrate-and-fire neuron receiving a Gaussian current, with a given mean
and variance, in input. This, in turn, is used to obtain an accurate estimate
of the resulting postsynaptic current in presence of STD. The stationary
states of the network are obtained requiring self-consistency for the currents
those driving the emission processes and those generated by the emitted
spikes. The model network stores in the distribution of two-state efficacies
of excitatory-to-excitatory synapses, a randomly composed set of external
stimuli. The resulting synaptic structure allows the network to exhibit
selective persistent activity for each stimulus in the set. Theory predicts
the onset of selective persistent, or working memory (WM) activity upon

  

Source: Andrzejak, Ralph Gregor - Departament de Tecnologia, Universitat Pompeu Fabra

 

Collections: Computer Technologies and Information Sciences