Investigating Biologically Plausible Neural Networks for Reservoir Computing Solutions

Investigating Biologically Plausible Neural Networks for Reservoir Computing Solutions

While deep learning and backpropagation continue to dominate the field of machine learning in terms of benchmarks and versatility, recent neuroscientific advances shed light on more biologically plausible approaches. Spiking neural networks (SNNs), modelled after action potential dynamics, offer inh...

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Bibliographic Details
Main Authors: Catherine Mia Schofmann, Maria Fasli, Michael Taynnan Barros
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Reservoir computing
spiking neural networks
bio-plausible algorithms
leaky integrate-and-fire
LIF
Online Access:https://ieeexplore.ieee.org/document/10491254/

Internet

https://ieeexplore.ieee.org/document/10491254/

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