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Distributed synchrony
Dana H. Ballard and Zuohua Zhang
Rochester University
Data implying that neurons can communicate with synchronous volleys is
difficult to reconcile with the bulk of single unit recordings which
do not show synchrony yet reveal substantial correlations with
behavior. Our simulation reconciles these two sets of results by
sharing a synchronous signal amoung groups of neurons that are each
computing probabilities. The result is that despite the underlying
synchrony, the spikes produced by any particular neuron exhibit
conventional receptive field properties. The simulation models a
subset of the connections between the LGN and V1. It shows that
synchronous computation at a high firing rate can appear at an
individual cell as random spikes at a lower rate.