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dc.contributor.author
Kljajic, Jelena
dc.contributor.author
Valle, Giacomo
dc.contributor.author
Raspopovic, Stanisa
dc.date.accessioned
2021-06-17T06:00:49Z
dc.date.available
2021-06-17T02:49:49Z
dc.date.available
2021-06-17T06:00:49Z
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/NER49283.2021.9441349
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/490040
dc.description.abstract
Neural adaptation is a well-known phenomenon of the human sensory systems. Prolonged stimulation of the sensory system causes the adaptation (e.g. reduced neural activity) of the afferent sensory inputs. Interestingly, the use of direct nerve stimulation using implanted electrodes has been shown as the promise for providing sensory feedback to amputees. Although this technique is proven to be able to convey several sensory information, sensory adaptation to the neural stimulation can cause some unwanted behavior (e.g., disappearing of the artificial sensation after few minutes, changes in the perceptual intensity over time). Here we present a computational model of the sensory adaptation to direct electrical nerve stimulation. The model considers important biological parameters (i.e. synaptic processes) together with the different stimulation parameters (i.e. stimulation amplitude and frequency). The model was fitted on experimental data collected in two human transfemoral amputees, who were implanted with four transverse intrafascicular multichannel electrodes (TIME) in their residual tibial nerve. This model is not only used to better understand the mechanisms of sensory adaptation to different neural stimulation strategies, but it could also be exploited in future in neuroprosthetic applications to predict and control sensory adaptation.
en_US
dc.language.iso
en
en_US
dc.publisher
IEEE
en_US
dc.subject
Neural adaptation
en_US
dc.subject
computational modeling
en_US
dc.subject
peripheral nerve stimulation
en_US
dc.subject
neural interfaces
en_US
dc.subject
sensory feedback
en_US
dc.subject
amputees
en_US
dc.title
Modeling sensory adaptation to peripheral nerve stimulation
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
788
en_US
ethz.pages.end
791
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
2021-06-17T06:00:55Z
ethz.rosetta.lastUpdated
2021-06-17T06:00:55Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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