Efficient cortical spike train decoding for brain-machine interface implants with recurrent spiking neural networks

Liu, Tengjun; Gygax, Julia; Rossbroich, Julian; Chua, Yansong; Zhang, Shaomin; Zenke, Friedemann

doi:10.12751/nncn.bc2024.250

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Efficient cortical spike train decoding for brain-machine interface implants with recurrent spiking neural networks

Liu, Tengjun Gygax, Julia Rossbroich, Julian Chua, Yansong Zhang, Shaomin Zenke, Friedemann

Year: 2024 Journal: German Neuroinformatics Node

DOI: 10.12751/nncn.bc2024.250

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Keywords:

Spike (software development) Decoding methods Brain–computer interface Interface (matter) Spiking neural network Neural decoding Artificial neural network

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EEG and Brain-Computer Interfaces

Life Sciences → Neuroscience → Cognitive Neuroscience

Advanced Memory and Neural Computing

Physical Sciences → Engineering → Electrical and Electronic Engineering

Neural dynamics and brain function

Life Sciences → Neuroscience → Cognitive Neuroscience

Efficient cortical spike train decoding for brain-machine interface implants with recurrent spiking neural networks

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