A TTFS-based energy and utilization efficient neuromorphic CNN accelerator

A TTFS-based energy and utilization efficient neuromorphic CNN accelerator

Spiking neural networks (SNNs), which are a form of neuromorphic, brain-inspired AI, have the potential to be a power-efficient alternative to artificial neural networks (ANNs). Spikes that occur in SNN systems, also known as activations, tend to be extremely sparse, and low in number. This minimize...

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Bibliographic Details
Main Authors: Miao Yu, Tingting Xiang, Srivatsa P., Kyle Timothy Ng Chu, Burin Amornpaisannon, Yaswanth Tavva, Venkata Pavan Kumar Miriyala, Trevor E. Carlson
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-05-01
Series:Frontiers in Neuroscience
Subjects:
artificial neural networks (ANNs)
brain-inspired networks
neuromorphic hardware
spiking neural networks (SNNs)
time-to-first-spike
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2023.1121592/full

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https://www.frontiersin.org/articles/10.3389/fnins.2023.1121592/full

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