AUTHOR=Gilson Matthieu , Burkitt Anthony , Van Hemmen Leo J.

TITLE=STDP in Recurrent Neuronal Networks

JOURNAL=Frontiers in Computational Neuroscience

VOLUME=4

YEAR=2010

URL=https://www.frontiersin.org/journals/computational-neuroscience/articles/10.3389/fncom.2010.00023

DOI=10.3389/fncom.2010.00023

ISSN=1662-5188

ABSTRACT=<p>Recent results about spike-timing-dependent plasticity (STDP) in recurrently connected neurons are reviewed, with a focus on the relationship between the weight dynamics and the emergence of network structure. In particular, the evolution of synaptic weights in the two cases of incoming connections for a single neuron and recurrent connections are compared and contrasted. A theoretical framework is used that is based upon Poisson neurons with a temporally inhomogeneous firing rate and the asymptotic distribution of weights generated by the learning dynamics. Different network configurations examined in recent studies are discussed and an overview of the current understanding of STDP in recurrently connected neuronal networks is presented.</p>