Towards Low-Power Machine Learning Architectures Inspired by Brain Neuromodulatory Signalling

We present a transfer learning method inspired by modulatory neurotransmitter mechanisms in biological brains and explore applications for neuromorphic hardware. In this method, the pre-trained weights of an artificial neural network are held constant and a new, similar task is learned by manipulati...

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Bibliographic Details
Main Authors: Taylor Barton, Hao Yu, Kyle Rogers, Nancy Fulda, Shiuh-hua Wood Chiang, Jordan Yorgason, Karl F. Warnick
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Journal of Low Power Electronics and Applications
Subjects:
Online Access:https://www.mdpi.com/2079-9268/12/4/59