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Abstract:
We investigate the behavior of a Hebbian cell assembly of
spiking neurons formed via a temporal synaptic learning curve. This
learning function is based on recent experimental findings. It
includes potentiation for short time delays between pre- and
post-synaptic neuronal spiking, and depression for spiking events
occuring in the reverse order. The coupling between the dynamics of
synaptic learning and neuronal activation leads to interesting
results. We find that, in addition to synchronous or asynchronous
modes, the Hebbian cell assembly can be realized in a firing
pattern of distributed synchrony. The latter implies spontaneous
division of the Hebbian cell assembly into groups of cells that
fire in a cyclic manner. We investigate the behavior of distributed
synchrony both by simulations and by analytic calculations of the
resulting synaptic distributions.
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