Memcapacitive neural networks

It is shown that memcapacitive (memory capacitive) systems can be used as synapses in artificial neural networks. As an example of the proposed approach, the architecture of an integrate-and-fire neural network based on memcapacitive synapses is discussed. Moreover, it has been demonstrated that the...

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Bibliographic Details

Published in:	Electronics letters 2014-01, Vol.50 (3), p.141-143
Main Authors:	Pershin, Y.V, Di Ventra, M
Format:	Article
Language:	eng
Subjects:	Applied sciences Architecture Artificial intelligence Artificial neural networks Bioinspired technology Biological and medical sciences Central nervous system Central neurotransmission. Neuromudulation. Pathways and receptors Computation Computer science control theory systems Connectionism. Neural networks Devices Electronics Exact sciences and technology Fundamental and applied biological sciences. Psychology Integrated circuits Integrated circuits by function (including memories and processors) integrate‐and‐fire neural network Low energy memcapacitive synapses memory capacitive systems micromechanical devices neural nets Neural networks neuromorphic computation Plasticity Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices spike‐timing‐dependent plasticity Synapses Vertebrates: nervous system and sense organs
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