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20202022
most citedSpikeSim: An end-to-end Compute-in-Memory Hardware Evaluation Tool for Benchmarking Spiking Neural Networks

2 citations · 2 across the 5 of their papers we have counts for

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cs.ET2025

Low-power Spike-based Wearable Analytics on RRAM Crossbars

Abhiroop Bhattacharjee, Jinquan Shi, Wei-Chen Chen +2

This work introduces a spike-based wearable analytics system utilizing Spiking Neural Networks (SNNs) deployed on an In-memory Computing engine based on RRAM crossbars, which are k…

cs.ET2020

NEAT: Non-linearity Aware Training for Accurate and Energy-Efficient Implementation of Neural Networks on 1T-1R Memristive Crossbars

Abhiroop Bhattacharjee, Lakshya Bhatnagar, Youngeun Kim +1

Memristive crossbars suffer from non-idealities (such as, sneak paths) that degrade computational accuracy of the Deep Neural Networks (DNNs) mapped onto them. A 1T-1R synapse, add…