Optimization of Leaky Integrate-and-Fire Neuron Circuits Based on Nanoporous Graphene Memristors

Artificial neurons form the core of neuromorphic computing which is emerging as an alternative for the von Neumann computing architecture. However, existing neuron architectures still lack in area efficiency, especially considering the huge size of modern neural networks requiring millions of neuron...

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Bibliographic Details
Main Authors: Kannan Udaya Mohanan, Seyed Mehdi Sattari-Esfahlan, Eou-Sik Cho, Chang-Hyun Kim
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of the Electron Devices Society
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10391069/