Fig. 7.

Effects of coupling on networks of nonrenewal and renewal model neurons. a Representation of the network connectivity. Each neuron in the network receives the same stimulus. The responses of all neurons in the network are then summed, and the resulting is then fed back to all neurons with a delay as either excitatory or inhibitory input. We note that this topology is mathematically equivalent to all-to-all coupling. b Mutual information rate normalized to its value for no coupling as a function of the coupling strength (negative values mean inhibitory coupling while positive ones mean positive coupling). It is seen that coupling affects the information transmitted by networks of renewal and nonrenewal neurons in opposite ways