Neuromorphic Decoding of Spinal Motor Neuron Behaviour During Natural Hand Movements for a New Generation of Wearable Neural Interfaces-Reference-Cited by-同舟云学术

Neuromorphic Decoding of Spinal Motor Neuron Behaviour During Natural Hand Movements for a New Generation of Wearable Neural Interfaces

Published:2023 Issue: Volume:31 Page:3035-3046
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Tanzarella Simone¹^ORCID,Iacono Massimiliano²,Donati Elisa³^ORCID,Farina Dario¹^ORCID,Bartolozzi Chiara¹^ORCID

Affiliation:

1. Department of Bioengineering, Imperial College London, London, U.K.

2. Event-Driven Perception for Robotics Department, Istituto Italiano di Tecnologia, Genova, Italy

3. Institute of Neuroinformatics, ETH Zürich, Zürich, Switzerland

Funder

European Research Council (ERC) under the Synergy Grant Natural BionicS

Engineering and Physical Sciences Research Council (EPSRC) Transformative Healthcare for 2050 Project Non-Invasive Single Neuron Electrical Monitoring (NIS-NEM) Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Link

http://xplorestaging.ieee.org/ielx7/7333/10031624/10184039.pdf?arnumber=10184039

Reference55 articles.

1. A Neuromorphic Event-Based Neural Recording System for Smart Brain-Machine-Interfaces

2. Deep Learning for Robust Decomposition of High-Density Surface EMG Signals

3. Neuromorphic bioelectronic medicine for nervous system interfaces: from neural computational primitives to medical applications

4. The human central nervous system transmits common synaptic inputs to distinct motor neuron pools during non‐synergistic digit actions

5. Non-invasive assessment of motor unit activation in relation to motor neuron level and lesion location in stroke and spinal muscular atrophy

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