SENECA: building a fully digital neuromorphic processor, design trade-offs and challenges

SENECA: building a fully digital neuromorphic processor, design trade-offs and challenges

Neuromorphic processors aim to emulate the biological principles of the brain to achieve high efficiency with low power consumption. However, the lack of flexibility in most neuromorphic architecture designs results in significant performance loss and inefficient memory usage when mapping various ne...

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Bibliographic Details
Main Authors: Guangzhi Tang, Kanishkan Vadivel, Yingfu Xu, Refik Bilgic, Kevin Shidqi, Paul Detterer, Stefano Traferro, Mario Konijnenburg, Manolis Sifalakis, Gert-Jan van Schaik, Amirreza Yousefzadeh
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-06-01
Series:Frontiers in Neuroscience
Subjects:
event-based neuromorphic processor
spiking neural network
architectural exploration
bio-inspired processing
SENECA
AI accelerator
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2023.1187252/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2023.1187252/full

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