Neuromorphic Systems Design by Matching Inductive Biases to Hardware Constraints

Neuromorphic Systems Design by Matching Inductive Biases to Hardware Constraints

Neuromorphic systems are designed with careful consideration of the physical properties of the computational substrate they use. Neuromorphic engineers often exploit physical phenomena to directly implement a desired functionality, enabled by “the isomorphism between physical processes in different...

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Bibliographic Details
Main Authors: Lorenz K. Muller, Pascal Stark, Bert Jan Offrein, Stefan Abel
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-05-01
Series:Frontiers in Neuroscience
Subjects:
neural network
neuromorphic
bias
constraint
inductive bias
sparsity
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2020.00437/full

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https://www.frontiersin.org/article/10.3389/fnins.2020.00437/full

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