A robust Parkinson’s disease detection model based on time-varying synaptic efficacy function in spiking neural network

A robust Parkinson’s disease detection model based on time-varying synaptic efficacy function in spiking neural network

Abstract Parkinson’s disease (PD) is a neurodegenerative disease affecting millions of people around the world. Conventional PD detection algorithms are generally based on first and second-generation artificial neural network (ANN) models which consume high energy and have complex architecture. Cons...

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Bibliographic Details
Main Authors: Priya Das, Sarita Nanda, Ganapati Panda, Sujata Dash, Amel Ksibi, Shrooq Alsenan, Wided Bouchelligua, Saurav Mallik
Format: Article
Language:English
Published: BMC 2024-12-01
Series:BMC Neurology
Subjects:
Parkinson’s disease
Spiking neural network
Time-varying synaptic efficacy function
SEFRON
Spike timing dependent plasticity (STDP)
Online Access:https://doi.org/10.1186/s12883-024-04001-7

Internet

https://doi.org/10.1186/s12883-024-04001-7

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