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A Robust Parkinson’s Disease Detection Model Based on Time-varying Synaptic Efficacy Function in Spiking Neural Network

2024-05-20

Abstract excerpt

<title>Abstract</title> <p>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. Considering these limitations, a time-varying synaptic efficacy function-based leaky-integrate and fir...

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Literature Corpus work: be028700-2d86-57c4-a4f0-33798fb4d0dc
DOI: 10.21203/rs.3.rs-4391542/v1

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