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Neuromorphic hardware for somatosensory neuroprostheses.
1Institute of Neuroinformatics, University of Zurich and ETH Zurich, Zurich, Switzerland. elisa@ini.uzh.ch.
Nature Communications
|January 16, 2024
Summary
Neuromorphic technology can improve neuroprosthetics by mimicking natural neural processing for better tactile feedback in artificial limbs. This approach aims to enhance human-machine interfaces for restored limb function.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Robotics
Background:
- Neuroprosthetic devices restore limb function for individuals with sensory-motor impairments by interfacing with the nervous system.
- Restoring natural tactile sensation via electrical neural stimulation faces limitations due to bandwidth constraints and complex encoding strategies.
Purpose of the Study:
- To propose the integration of neuromorphic technology into neuroprostheses for more natural human-machine interfaces.
- To explore the potential of neuromorphic computing in replicating natural touch encoding for improved neurostimulation design.
Main Methods:
- This perspective discusses the application of neuromorphic technology, which mimics biological neurons and synapses.
- It reviews current limitations in tactile sensation restoration and proposes a novel approach using advanced computing principles.
Main Results:
- Neuromorphic technology offers a promising pathway to replicate natural touch encoding, overcoming current bandwidth limitations.
- Integration into neuroprostheses could significantly enhance device performance, user acceptability, and embeddability.
Conclusions:
- Incorporating neuromorphic technology into neuroprosthetics represents a significant advancement for creating natural human-machine interfaces.
- Addressing ongoing challenges and fostering collaboration are crucial for the successful future integration of these technologies.
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