BitBrain and Sparse Binary Coincidence (SBC) memories: Fast, robust learning and inference for neuromorphic architectures

BitBrain and Sparse Binary Coincidence (SBC) memories: Fast, robust learning and inference for neuromorphic architectures

We present an innovative working mechanism (the SBC memory) and surrounding infrastructure (BitBrain) based upon a novel synthesis of ideas from sparse coding, computational neuroscience and information theory that enables fast and adaptive learning and accurate, robust inference. The mechanism is d...

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Bibliographic Details
Main Authors: Michael Hopkins, Jakub Fil, Edward George Jones, Steve Furber
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-03-01
Series:Frontiers in Neuroinformatics
Subjects:
single-pass learning
neuromorphic
efficient inference
classification
machine learning
robust
Online Access:https://www.frontiersin.org/articles/10.3389/fninf.2023.1125844/full

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