An Optimization on the Neuronal Networks Based on the ADEX Biological Model in Terms of LUT-State Behaviors: Digital Design and Realization on FPGA Platforms

An Optimization on the Neuronal Networks Based on the ADEX Biological Model in Terms of LUT-State Behaviors: Digital Design and Realization on FPGA Platforms

Design and implementation of biological neural networks is a vital research field in the neuromorphic engineering. This paper presents LUT-based modeling of the Adaptive Exponential integrate-and-fire (ADEX) model using Nyquist frequency method. In this approach, a continuous term is converted to a...

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Bibliographic Details
Main Authors: Yule Wang, Osman Taylan, Abdulaziz S. Alkabaa, Ijaz Ahmad, Elsayed Tag-Eldin, Ehsan Nazemi, Mohammed Balubaid, Hanan Saud Alqabbaa
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Biology
Subjects:
neuron
ADEX
neuromorphic
digital FPGA implementation
Online Access:https://www.mdpi.com/2079-7737/11/8/1125

Internet

https://www.mdpi.com/2079-7737/11/8/1125

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