RRAM based neuromorphic algorithms

Abstract

This submission is a report on RRAM based neuromorphic algorithms. This report basically gives an overview of the algorithms implemented on neuromorphic hardware with crossbar array of RRAM synapses. This report mainly talks about the work on deep neural network to spiking neural network conversion and its significance.

12 pages, 6 figures, A version of this survey report is submitting as Springer book chapter

References in corpus (3)

• Theory and Tools for the Conversion of Analog to Spiking Convolutional Neural Networks
• A Neuromorphic VLSI Design for Spike Timing and Rate Based Synaptic Plasticity
• Fast and Efficient Asynchronous Neural Computation with Adapting Spiking Neural Networks

Cited by in corpus (1)

• Hardware-friendly Neural Network Architecture for Neuromorphic Computing