Neuromorphic hardware for somatosensory neuroprostheses
Abstract In individuals with sensory-motor impairments, missing limb functions can be restored using neuroprosthetic devices that directly interface with the nervous system. However, restoring the natural tactile experience through electrical neural stimulation requires complex encoding strategies....
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-01-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-024-44723-3 |
| _version_ | 1797349850395705344 |
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| author | Elisa Donati Giacomo Valle |
| author_facet | Elisa Donati Giacomo Valle |
| author_sort | Elisa Donati |
| collection | DOAJ |
| description | Abstract In individuals with sensory-motor impairments, missing limb functions can be restored using neuroprosthetic devices that directly interface with the nervous system. However, restoring the natural tactile experience through electrical neural stimulation requires complex encoding strategies. Indeed, they are presently limited in effectively conveying or restoring tactile sensations by bandwidth constraints. Neuromorphic technology, which mimics the natural behavior of neurons and synapses, holds promise for replicating the encoding of natural touch, potentially informing neurostimulation design. In this perspective, we propose that incorporating neuromorphic technologies into neuroprostheses could be an effective approach for developing more natural human-machine interfaces, potentially leading to advancements in device performance, acceptability, and embeddability. We also highlight ongoing challenges and the required actions to facilitate the future integration of these advanced technologies. |
| first_indexed | 2024-03-08T12:36:25Z |
| format | Article |
| id | doaj.art-5a31defb547547589a3ab0de314f3330 |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-03-08T12:36:25Z |
| publishDate | 2024-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-5a31defb547547589a3ab0de314f33302024-01-21T12:26:54ZengNature PortfolioNature Communications2041-17232024-01-0115111810.1038/s41467-024-44723-3Neuromorphic hardware for somatosensory neuroprosthesesElisa Donati0Giacomo Valle1Institute of Neuroinformatics, University of Zurich and ETH ZurichDepartment of Organismal Biology and Anatomy, University of ChicagoAbstract In individuals with sensory-motor impairments, missing limb functions can be restored using neuroprosthetic devices that directly interface with the nervous system. However, restoring the natural tactile experience through electrical neural stimulation requires complex encoding strategies. Indeed, they are presently limited in effectively conveying or restoring tactile sensations by bandwidth constraints. Neuromorphic technology, which mimics the natural behavior of neurons and synapses, holds promise for replicating the encoding of natural touch, potentially informing neurostimulation design. In this perspective, we propose that incorporating neuromorphic technologies into neuroprostheses could be an effective approach for developing more natural human-machine interfaces, potentially leading to advancements in device performance, acceptability, and embeddability. We also highlight ongoing challenges and the required actions to facilitate the future integration of these advanced technologies.https://doi.org/10.1038/s41467-024-44723-3 |
| spellingShingle | Elisa Donati Giacomo Valle Neuromorphic hardware for somatosensory neuroprostheses Nature Communications |
| title | Neuromorphic hardware for somatosensory neuroprostheses |
| title_full | Neuromorphic hardware for somatosensory neuroprostheses |
| title_fullStr | Neuromorphic hardware for somatosensory neuroprostheses |
| title_full_unstemmed | Neuromorphic hardware for somatosensory neuroprostheses |
| title_short | Neuromorphic hardware for somatosensory neuroprostheses |
| title_sort | neuromorphic hardware for somatosensory neuroprostheses |
| url | https://doi.org/10.1038/s41467-024-44723-3 |
| work_keys_str_mv | AT elisadonati neuromorphichardwareforsomatosensoryneuroprostheses AT giacomovalle neuromorphichardwareforsomatosensoryneuroprostheses |