Time varying neural networks

Summary form only given. The time dependency of neural networks is explored by looking at the role of the synapse. It is proposed that through the additional property of temporal inhibition it may be possible to simulate memory and cognitive networks. Such a device, called a syneuristor (synaptic neuristor), is neuristorlike, with the properties of threshold of stimulability, constant delay, refractoriness and pulse shaping. It also has the properties of temporal inhibition and unidirectional transmission. It has been shown that networks designed with these properties are capable of exhibiting properties such as frequency coding as seen in inhibitory and excitory synapses.<>