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dc.contributor.author
Balerna, Myriam
dc.contributor.author
Ghosh, Arko
dc.date.accessioned
2019-02-21T14:57:45Z
dc.date.available
2019-01-30T10:55:35Z
dc.date.available
2019-02-21T14:57:45Z
dc.date.issued
2018
dc.identifier.other
10.1038/s41746-017-0011-3
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/321351
dc.identifier.doi
10.3929/ethz-b-000321351
dc.description.abstract
Unconstrained day-to-day activities are difficult to quantify and how the corresponding movements shape the brain remain unclear. Here, we recorded all touchscreen smartphone interactions at a sub-second precision and show that the unconstrained day-to-day behavior captured on the phone reflects in the simple sensorimotor computations measured in the laboratory. The behavioral diversity on the phone, the speed of interactions, the amount of social & non-social interactions, all uniquely influenced the trial-to-trial motor variability used to measure the amount of intrinsic neuronal noise. Surprisingly, both the motor performance and the early somatosensory cortical signals (assessed using EEG in passive conditions) became noisier with increased social interactions. Inter-individual differences in how people use the smartphone can help thus decompose the structure of low-level sensorimotor computations.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Nature Publishing Group
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.title
The details of past actions on a smartphone touchscreen are reflected by intrinsic sensorimotor dynamics
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2018-03-07
ethz.journal.title
npj Digital Medicine
ethz.journal.volume
1
en_US
ethz.journal.issue
1
en_US
ethz.pages.start
4
en_US
ethz.size
5 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.publication.place
New York, NY
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02533 - Institut für Neuroinformatik / Institute of Neuroinformatics
en_US
ethz.date.deposited
2019-01-30T10:55:37Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2019-02-21T14:57:51Z
ethz.rosetta.lastUpdated
2019-02-21T14:57:51Z
ethz.rosetta.versionExported
true
ethz.COinS
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