26 citations · 67 across the 9 of their papers we have counts for
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cs.NE2017★ 22 cited
An On-chip Trainable and Clock-less Spiking Neural Network with 1R Memristive Synapses
Aditya Shukla, Udayan Ganguly
Spiking neural networks (SNNs) are being explored in an attempt to mimic brain's capability to learn and recognize at low power. Crossbar architecture with highly scalable Resistiv…
cs.NE2017★ 26 cited
A Software-equivalent SNN Hardware using RRAM-array for Asynchronous Real-time Learning
Aditya Shukla, Vinay Kumar, Udayan Ganguly
Spiking Neural Network (SNN) naturally inspires hardware implementation as it is based on biology. For learning, spike time dependent plasticity (STDP) may be implemented using an…