Temporal structure in neural networks with impulse train connections

Abstract
The author considers neural networks in which the neurons or processing elements transmit signals to one another by impulse trains. She presents examples of biological neurons having impulse trains that contain random temporal structure as well as examples with nonrandom patterns. She also presents an approach using simulation modeling to observe the transfer of spatiotemporal pattern inputs to impulse trains in a neural network. The author also discusses the possible roles of impulse trains in biological neural networks and in neural network models.