Title :
Time varying neural networks
Author :
Waldron, Manjula B.
Author_Institution :
Biomed. Eng. Program, Ohio State Univ., Columbus, OH, USA
Abstract :
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.<>
Keywords :
brain models; neural nets; neurophysiology; cognitive networks; constant delay; excitory synapses; frequency coding; inhibitory synapses; memory; neural networks; pulse shaping; refractoriness; stimulability threshold; synapse; synaptic neuristor; syneuristor; temporal inhibition; time dependency; unidirectional transmission;
Conference_Titel :
Engineering in Medicine and Biology Society, 1988. Proceedings of the Annual International Conference of the IEEE
Conference_Location :
New Orleans, LA, USA
Print_ISBN :
0-7803-0785-2
DOI :
10.1109/IEMBS.1988.95243
