Spike-weighted spiking neural network with spiking long short-term memory: a biomimetic approach to decoding brain signals

Spike-weighted spiking neural network with spiking long short-term memory: a biomimetic approach to decoding brain signals

Background. Brain–machine interfaces (BMIs) offer users the ability to directly communicate with digital devices through neural signals decoded with machine learning (ML)-based algorithms. Spiking Neural Networks (SNNs) are a type of Artificial Neural Network (ANN) that operate on neural spikes inst...

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Bibliographic Details
Main Authors: McMillan, Kyle, So, Rosa Qiyue, Libedinsky, Camilo, Ang, Kai Keng, Premchand, Brian
Other Authors: School of Computer Science and Engineering
Format: Journal Article
Language:English
Published: 2024
Subjects:
Computer and Information Science
Spiking neural network
Machine learning
Online Access:https://hdl.handle.net/10356/179859

Internet

https://hdl.handle.net/10356/179859

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