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Mechanisms that modulate the transfer of spiking correlations
 

Summary: Mechanisms that modulate the transfer of spiking
correlations
Robert Rosenbaum1
and Kresimir Josi´c2
October 20, 2010
Abstract
Correlations between neuronal spike trains impact network dynamics and population cod-
ing. Overlapping afferent populations and correlations between presynaptic spike trains in-
troduce correlations between the inputs to downstream cells. To understand network activity
and population coding, it is therefore important to understand how these input correlations
are transferred to output correlations. Recent studies have addressed this question in the limit
of many inputs with infinitesimal postsynaptic response amplitudes, where the total input
can be approximated by Gaussian noise. In contrast, we address the problem of correlation
transfer by representing input spike trains as point processes with each input spike eliciting a
finite postsynaptic response. This approach allows us to naturally model synaptic noise and
recurrent coupling, and to treat excitatory and inhibitory inputs separately. We derive several
new results that provide intuitive insights into the fundamental mechanisms that modulate
the transfer of spiking correlations.
1 Introduction
The amount of information carried by neuronal populations can be strongly modulated by corre-

  

Source: Azevedo, Ricardo - Department of Biology and Biochemistry, University of Houston

 

Collections: Biology and Medicine; Environmental Sciences and Ecology