|
Biological and bionic hands: Natural neural coding and artificial perception| title | Biological and bionic hands: Natural neural coding and artificial perception |
|---|
| start_date | 2023/06/19 |
|---|
| schedule | 14h-15h |
|---|
| online | no |
|---|
| location_info | Ilôt Bernard Dubois |
|---|
| summary | Our ability to manipulate objects dexterously relies fundamentally on sensory signals originating from the hand. To restore motor function with upper-limb neuroprostheses requires that somatosensory feedback be provided to the amputee or tetraplegic patient. Given the complexity of state-of-the-art prosthetic limbs, and thus the huge state-space they can traverse, it is desirable to minimize the need for the user to learn associations between events impinging upon the limb and arbitrary sensations. With this in mind, we seek to develop approaches to intuitively convey sensory information that is critical for object manipulation through electrical activation of sensory neurons in the nerves or in the somatosensory cortex. To this end, we leverage our understanding of natural neural coding to construct encoding algorithms for artificial touch. |
|---|
| responsibles | Burle, Blouin |
|---|
Workflow history| from state (1) | to state | comment | date |
|---|
| submitted | published | | 2023/06/19 12:22 UTC |
| |
|