Supervised Learning in All FeFET-Based Spiking Neural Network: Opportunities and Challenges

Supervised Learning in All FeFET-Based Spiking Neural Network: Opportunities and Challenges

The two possible pathways toward artificial intelligence (AI)—(i) neuroscience-oriented neuromorphic computing [like spiking neural network (SNN)] and (ii) computer science driven machine learning (like deep learning) differ widely in their fundamental formalism and coding schemes (Pei et al., 2019)...

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Bibliographic Details
Main Authors: Sourav Dutta, Clemens Schafer, Jorge Gomez, Kai Ni, Siddharth Joshi, Suman Datta
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-06-01
Series:Frontiers in Neuroscience
Subjects:
neuromorphic computing
supervised learning
surrogate gradient learning
ferroelectric FET
spiking neural network
spiking neuron
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2020.00634/full

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https://www.frontiersin.org/article/10.3389/fnins.2020.00634/full

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