Leaky Integrate and Fire Neuron by Charge-Discharge Dynamics in Floating-Body MOSFET
Abstract Neuro-biology inspired Spiking Neural Network (SNN) enables efficient learning and recognition tasks. To achieve a large scale network akin to biology, a power and area efficient electronic neuron is essential. Earlier, we had demonstrated an LIF neuron by a novel 4-terminal impact ionizati...
Enregistré dans:
Auteurs principaux: | Sangya Dutta, Vinay Kumar, Aditya Shukla, Nihar R. Mohapatra, Udayan Ganguly |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2017
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/fe89b0e7b69647d093b0d805c0ff7b6a |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Generalized leaky integrate-and-fire models classify multiple neuron types
par: Corinne Teeter, et autres
Publié: (2018) -
Adjustable Leaky-Integrate-and-fire neurons based on memristor-coupled capacitors
par: T. Guo, et autres
Publié: (2021) -
Paradoxes in leaky microbial trade
par: Yoav Kallus, et autres
Publié: (2017) -
Experimental Determination of Interface Trap Density and Fixed Positive Oxide Charge in Commercial 4H-SiC Power MOSFETs
par: Susanna Yu, et autres
Publié: (2021) -
Leaky and waveguide modes in biperiodic holograms
par: Hamid Keshmiri, et autres
Publié: (2021)