Subthreshold Spintronic Stochastic Spiking Neural Networks With Probabilistic Hebbian Plasticity and Homeostasis

Subthreshold Spintronic Stochastic Spiking Neural Networks With Probabilistic Hebbian Plasticity and Homeostasis

The neural sampling core (NSC) proposed herein offers a spintronic device-based circuit and learning mechanism utilizing imprecise and stochastic components, similar to biological brains, to realize ultralow-power neuromorphic computations at subthreshold voltages. Leveraging principles from neural...

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Bibliographic Details
Main Authors: Steven D. Pyle, Ramtin Zand, Shadi Sheikhfaal, Ronald F. Demara
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
Subjects:
Homeostasis
neural sampling
neuromorphic
process variation (PV)
spintronic
subthreshold
Online Access:https://ieeexplore.ieee.org/document/8689062/

Internet

https://ieeexplore.ieee.org/document/8689062/

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