57 citations · 183 across the 33 of their papers we have counts for
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Structured Mean-field Variational Inference and Learning in Winner-take-all Spiking Neural Networks
Shashwat Shukla, Hideaki Shimazaki, Udayan Ganguly
The Bayesian view of the brain hypothesizes that the brain constructs a generative model of the world, and uses it to make inferences via Bayes' rule. Although many types of approx…
Band-to-Band Tunneling based Ultra-Energy Efficient Silicon Neuron
Tanmay Chavan, Sangya Dutta, Nihar R. Mohapatra +1
The human brain comprises about a hundred billion neurons connected through quadrillion synapses. Spiking Neural Networks (SNNs) take inspiration from the brain to model complex co…
Ultra-low Energy charge trap flash based synapse enabled by parasitic leakage mitigation
Shalini Shrivastava, Tanmay Chavan, Udayan Ganguly
Brain-inspired computation promises complex cognitive tasks at biological energy efficiencies. The brain contains synapses per neuron. Hence, ultra-low energy, high-density…
Predicting Performance using Approximate State Space Model for Liquid State Machines
Ajinkya Gorad, Vivek Saraswat, Udayan Ganguly
Liquid State Machine (LSM) is a brain-inspired architecture used for solving problems like speech recognition and time series prediction. LSM comprises of a randomly connected recu…