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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Detalles Bibliográficos
Autores principales: Parihar, Abhinav, Jerry, Matthew, Datta, Suman, Raychowdhury, Arijit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5893757/
https://www.ncbi.nlm.nih.gov/pubmed/29670508
http://dx.doi.org/10.3389/fnins.2018.00210

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5893757/
https://www.ncbi.nlm.nih.gov/pubmed/29670508
http://dx.doi.org/10.3389/fnins.2018.00210

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