Gaussian synapses for probabilistic neural networks

Designing large-scale hardware implementation of Probabilistic Neural Network for energy efficient neuromorphic computing systems remains a challenge. Here, the authors propose an hardware design based on MoS2/BP heterostructures as reconfigurable Gaussian synapses enabling EEG patterns recognition.

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Bibliographic Details
Main Authors: Amritanand Sebastian, Andrew Pannone, Shiva Subbulakshmi Radhakrishnan, Saptarshi Das
Format: article
Language:EN
Published: Nature Portfolio 2019
Subjects:
Q
Online Access:https://doaj.org/article/ad20e8a07db343ebacc0a4a6dcfc367e
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