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dc.contributor.author
Beltraminelli, Anna
dc.contributor.author
Romeni, Simone
dc.contributor.author
Micera, Silvestro
dc.date.accessioned
2021-06-17T06:16:19Z
dc.date.available
2021-06-17T02:49:49Z
dc.date.available
2021-06-17T06:16:19Z
dc.date.issued
2021
dc.identifier.isbn
978-1-7281-4337-8
en_US
dc.identifier.isbn
978-1-7281-4336-1
en_US
dc.identifier.isbn
978-1-7281-4338-5
en_US
dc.identifier.issn
19483554
dc.identifier.other
10.1109/NER49283.2021.9441098
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/490037
dc.description.abstract
Providing a naturalistic tactile sensory feedback is currently one of the key challenges in neuroprosthetics. Modeling has played a fundamental role in the development of “biomimetic” stimulation protocols, determining optimal activation patterns to be elicited at the level of the nerve. Nonetheless, current technological limitations pose the challenge of estimating the influence of “errors” in matching natural activation on higher neural representations and on the elicited sensation quality. While in the past much attention has focused on the cuneate nucleus and on sensory cortices, the idea that processing starts as early as in the spinal cord dorsal horn circuitry has gained some success. Here, we propose modeling the dorsal horn light touch circuitry with a network of Izhikevich spiking point-neurons, built on the base of recent morphological and physiological analysis of interneuron populations. We propose two simple computational experiment suggesting that the dorsal horn should not be regarded as a simple relay hub. On the contrary, our model suggests that it may perform cortically modulated spatio-temporal integration of afferent signals, and sets the ground for more in-depth analysis of early somatosensory processing stages.
en_US
dc.language.iso
en
en_US
dc.publisher
IEEE
en_US
dc.title
Computational model of the dorsal horn circuitry for innocuous touch
en_US
dc.type
Conference Paper
dc.date.published
2021-06-02
ethz.book.title
2021 10th International IEEE/EMBS Conference on Neural Engineering (NER)
en_US
ethz.pages.start
449
en_US
ethz.pages.end
452
en_US
ethz.event
10th International IEEE/EMBS Conference on Neural Engineering (NER 2021)
en_US
ethz.event.location
Online
en_US
ethz.event.date
May 4-6, 2021
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Piscataway, NJ
en_US
ethz.publication.status
published
en_US
ethz.date.deposited
2021-06-17T02:50:03Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2021-06-17T06:16:26Z
ethz.rosetta.lastUpdated
2021-06-17T06:16:26Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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