The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index.
Simulating tactile signals from the whole hand with millisecond precision
Open accessAbstract
Significance: 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.
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Cites
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Cited by
Learning the signatures of the human grasp using a scalable tactile glove
Sundaram, S., Kellnhofer, P., Li, Y., Zhu, J.-Y., Torralba, A., & Matusik, W. (2019) · Nature · doi:10.1038/s41586-019-1234-z · Cited by 1,162
Prosthesis with neuromorphic multilayered e-dermis perceives touch and pain
Osborn, L. E., Dragomir, A., Betthauser, J. L., Hunt, C. L., Nguyen, H. H., Kaliki, R. R., & Thakor, N. V. (2018) · Science Robotics · doi:10.1126/scirobotics.aat3818 · Cited by 427
George, J. A., Kluger, D. T., Davis, T. S., Wendelken, S. M., Okorokova, E. V., He, Q., Duncan, C. C., Hutchinson, D. T., Thumser, Z. C., Beckler, D. T., et al. (2019) · Science Robotics · doi:10.1126/scirobotics.aax2352 · Cited by 388
A neuro-inspired artificial peripheral nervous system for scalable electronic skins
Lee, W. W., Tan, Y. J., Yao, H., Li, S., See, H. H., Hon, M., Ng, K. A., Xiong, B., Ho, J. S., & Tee, B. C. K. (2019) · Science Robotics · doi:10.1126/scirobotics.aax2198 · Cited by 318
The neural mechanisms of manual dexterity
Sobinov, A. R., & Bensmaia, S. J. (2021) · Nature Reviews Neuroscience · doi:10.1038/s41583-021-00528-7 · Cited by 248
Metadata
- Authors
- Saal, H. P., Delhaye, B. P., Rayhaun, B. C., & Bensmaia, S. J.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2017-06-26
- Volume
- 114
- Issue
- 28
- Pages
- E5693-E5702
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2729725437
- Cited by
- 264
- References
- 73
- FWCI
- 9.16
- Type
- journal article
- Language
- en
- Open access
- green
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- Saal, H. P., Delhaye, B. P., Rayhaun, B. C., & Bensmaia, S. J. (2017). Simulating tactile signals from the whole hand with millisecond precision. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1704856114
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
