MONETA: A Processing-In-Memory-Based Hardware Platform for the Hybrid Convolutional Spiking Neural Network With Online Learning

MONETA: A Processing-In-Memory-Based Hardware Platform for the Hybrid Convolutional Spiking Neural Network With Online Learning

We present a processing-in-memory (PIM)-based hardware platform, referred to as MONETA, for on-chip acceleration of inference and learning in hybrid convolutional spiking neural network. MONETAuses 8T static random-access memory (SRAM)-based PIM cores for vector matrix multiplication (VMM) augmented...

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Bibliographic Details
Main Authors: Daehyun Kim, Biswadeep Chakraborty, Xueyuan She, Edward Lee, Beomseok Kang, Saibal Mukhopadhyay
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-04-01
Series:Frontiers in Neuroscience
Subjects:
spiking neural network (SNN)
processing-in-memory (PIM)
convolutional spiking neural network
on-line learning
on-chip learning
spike-time-dependent plasticity (STDP)
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2022.775457/full

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https://www.frontiersin.org/articles/10.3389/fnins.2022.775457/full

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