Auto-structure of Presynaptic Activity Defines Postsynaptic Firing Statistics and Can Modulate STDP-Based Structure Formation and Learning

Authors:
Gordon Pipa;Raul Vicente;Alexander Tikhonov
Affiliations:
Max-Planck Institute for Brain Research, Department Neurophysiology, , Frankfurt am Main, Germany 60528 and Frankfurt Institute for Advanced Studies (FIAS), , Frankfurt am Main, Germany 60438 and ...;Max-Planck Institute for Brain Research, Department Neurophysiology, , Frankfurt am Main, Germany 60528 and Frankfurt Institute for Advanced Studies (FIAS), , Frankfurt am Main, Germany 60438;Max-Planck Institute for Brain Research, Department Neurophysiology, , Frankfurt am Main, Germany 60528
Venue:
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part II
Year:
2008

Citing 3
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Abstract

In this paper we study the impact of presynaptic activity that is deviating from Poissonian firing onto the postsynaptic firing of a conductance based integrate and fire neuron. We first show that the compound activity of a large group of neurons, e.g. presynaptic cells, cannot be described by a Poisson process in general. Then we demonstrate that the auto-structure of the presynaptic drive has strong impact onto the auto-structure of the postsynaptic spike-train. And finally, we discuss the potential impact of non-Poissonian presynaptic activity on the structure formation in recurrent networks based on Spike Timing Dependent Plasticity (STDP).