1307.6921 (Y. V. Pershin et al.)

Memcapacitive neural networks    [PDF]

Y. V. Pershin, M. Di Ventra

We show that memcapacitive (memory capacitive) systems can be used as synapses in artificial neural networks. As an example of our approach, we discuss the architecture of an integrate-and-fire neural network based on memcapacitive synapses. Moreover, we demonstrate that the spike-timing-dependent plasticity can be simply realized with some of these devices. Memcapacitive synapses are a low-energy alternative to memristive synapses for neuromorphic computation.

View original: http://arxiv.org/abs/1307.6921