Gangotree Chakma

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Current Deep Learning approaches have been very successful using convolutional neural networks (CNN) trained on large graphical processing units (GPU)-based computers. Three limitations of this approach are: 1) they are based on a simple layered network topology, i.e., highly connected layers, without intra-layer connections; 2) the networks are manually(More)
Memristors are widely leveraged in neuromorphic systems for constructing synapses. Resistance switching characteristics of memristors enable online learning in synapses. This paper addresses a fundamental issue associated with the design of synapses with memristors whose switching rates in either direction differ up to two orders of magnitude. A(More)
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