24 citations · 62 across the 7 of their papers we have counts for
3 papers · 1 filter
Enhanced Read Resolution in Reconfigurable Memristive Synapses for Spiking Neural Networks
Hritom Das, Nishith N. Chakraborty, Catherine Schuman +1
Synapse is a key element of any neuromorphic computing system which is mostly constructed with memristor devices. A memristor is a two-terminal analog memory device. Memristive syn…
An Efficient and Accurate Memristive Memory for Array-based Spiking Neural Networks
Hritom Das, Rocco D. Febbo, SNB Tushar +4
Memristors provide a tempting solution for weighted synapse connections in neuromorphic computing due to their size and non-volatile nature. However, memristors are unreliable in t…
Optimizations for a Current-Controlled Memristor-based Neuromorphic Synapse Design
Hritom Das, Rocco D. Febbo, Charlie P. Rizzo +3
The synapse is a key element of neuromorphic computing in terms of efficiency and accuracy. In this paper, an optimized current-controlled memristive synapse circuit is proposed. O…