Stochastic IMT (Insulator-Metal-Transition) Neurons: An Interplay of Thermal and Threshold Noise at Bifurcation

Stochastic IMT (Insulator-Metal-Transition) Neurons: An Interplay of Thermal and Threshold Noise at Bifurcation

Artificial neural networks can harness stochasticity in multiple ways to enable a vast class of computationally powerful models. Boltzmann machines and other stochastic neural networks have been shown to outperform their deterministic counterparts by allowing dynamical systems to escape local energy...

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Bibliographic Details
Main Authors: Abhinav Parihar, Matthew Jerry, Suman Datta, Arijit Raychowdhury
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-04-01
Series:Frontiers in Neuroscience
Subjects:
stochastic neuron
insulator-metal transition
FitzHugh-Nagumo (FHN) neuron model
Ornstein-Uhlenbeck process
threshold noise
vanadium-dioxide
Online Access:http://journal.frontiersin.org/article/10.3389/fnins.2018.00210/full

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http://journal.frontiersin.org/article/10.3389/fnins.2018.00210/full

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