Hardware-Efficient Design and Implementation of a Spiking Neural Model With Noisy Astrocyte

Hardware-Efficient Design and Implementation of a Spiking Neural Model With Noisy Astrocyte

Neuromorphic architectures are systems that aim at using the principles of biological neural functions as their basis of operation. One of the most significant challenges in neuromorphic studies, which play an important role in information processing, is the investigation of astrocytes in neuronal m...

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Bibliographic Details
Main Authors: Morteza Gholami, Gholamreza Karimi, Bernabe Linares-Barranco
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Field-programmable gate array
Hindmarsh-Rose neuron model
neuromorphic architectures
spiking neuron model
noisy astrocyte
multiplierless implementation
Online Access:https://ieeexplore.ieee.org/document/10226217/

Internet

https://ieeexplore.ieee.org/document/10226217/

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