Saal, H.P. orcid.org/0000-0002-7544-0196, Delhaye, B.P., Rayhaun, B.C. et al. (1 more author) (2017) Simulating tactile signals from the whole hand with millisecond precision. Proceedings of the National Academy of Sciences of USA, 114 (28). E5693-E5702. ISSN 1091-6490
Abstract
When we grasp an object, thousands of tactile nerve fibers become activated and inform us about its physical properties (e.g., shape, size, and texture). Although the properties of individual fibers have been described, our understanding of how object information is encoded in populations of fibers remains primitive. To fill this gap, we have developed a simulation of tactile fibers that incorporates much of what is known about skin mechanics and tactile nerve fibers. We show that simulated fibers match biological ones across a wide range of conditions sampled from the literature. We then show how this simulation can reveal previously unknown ways in which populations of nerve fibers cooperate to convey sensory information and discuss the implications for bionic hands.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2017 National Academy of Sciences. |
Keywords: | mechanoreceptor; tactile afferent; somatosensory periphery; skin mechanics; computational model |
Dates: |
|
Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Science (Sheffield) > Department of Psychology (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 05 Jul 2017 08:27 |
Last Modified: | 20 Oct 2023 15:30 |
Published Version: | https://doi.org/10.1073/pnas.1704856114 |
Status: | Published |
Publisher: | National Academy of Sciences |
Refereed: | Yes |
Identification Number: | 10.1073/pnas.1704856114 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:118362 |