Part of Advances in Neural Information Processing Systems 10 (NIPS 1997)
Amit Manwani, Christof Koch
Here we analyze synaptic transmission from an infonnation-theoretic perspective. We derive c1osed-fonn expressions for the lower-bounds on the capacity of a simple model of a cortical synapse under two explicit coding paradigms. Under the "signal estimation" paradigm, we assume the signal to be encoded in the mean firing rate of a Poisson neuron. The perfonnance of an optimal linear estimator of the signal then provides a lower bound on the capacity for signal estimation. Under the "signal detection" paradigm, the presence or absence of the signal has to be de(cid:173) tected. Perfonnance of the optimal spike detector allows us to compute a lower bound on the capacity for signal detection. We find that single synapses (for empirically measured parameter values) transmit infonna(cid:173) tion poorly but significant improvement can be achieved with a small amount of redundancy.