Dynamics of Leaky Integrate‐and‐Fire Neurons Based on Oxyvanite Memristors for Spiking Neural Networks

Dynamics of Leaky Integrate‐and‐Fire Neurons Based on Oxyvanite Memristors for Spiking Neural Networks

Neuromorphic computing implemented with spiking neural networks (SNNs) based on volatile threshold switching is an energy‐efficient computing paradigm that may overcome future limitations of the von Neumann architecture. Herein, threshold switching in oxyvanite (V3O5) memristors and their applicatio...

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Bibliographic Details
Main Authors: Sujan Kumar Das, Sanjoy Kumar Nandi, Camilo Verbel Marquez, Armando Rúa, Mutsunori Uenuma, Shimul Kanti Nath, Shuo Zhang, Chun‐Ho Lin, Dewei Chu, Tom Ratcliff, Robert Glen Elliman
Format: Article
Language:English
Published: Wiley 2024-11-01
Series:Advanced Intelligent Systems
Subjects:
cascading effects
image recognitions
leaky integrate‐and‐fire neurons
spiking neural networks
switching dynamics
threshold switches
Online Access:https://doi.org/10.1002/aisy.202400191

Internet

https://doi.org/10.1002/aisy.202400191

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