Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Finn Rabe"'
Autor:
David Meder, Finn Rabe, Tobias Morville, Kristoffer H Madsen, Magnus T Koudahl, Ray J Dolan, Hartwig R Siebner, Oliver J Hulme
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 9, p e1009217 (2021)
Ergodicity describes an equivalence between the expectation value and the time average of observables. Applied to human behaviour, ergodic theories of decision-making reveal how individuals should tolerate risk in different environments. To optimize
Externí odkaz:
https://doaj.org/article/3f81d59034f04af88508dbf03b964a20
Perception and adaptive decision making rely on the integration of incoming sensory input with prior knowledge or expectations. While tactile stimuli play a significant role in shaping our perception and decision making, if and how prior information
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::561936205da74bca067e28cd3beaf230
https://doi.org/10.1101/2022.10.10.511201
https://doi.org/10.1101/2022.10.10.511201
It is well-established that several cortical areas represent vibrotactile stimuli in somatotopic maps. However, whether such somatotopic representations remain active during the delay period of working memory (WM) tasks, i.e. in the absence of any ta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfce13f5f167585c2d631f53d993addc
https://doi.org/10.1101/2021.10.29.466459
https://doi.org/10.1101/2021.10.29.466459
Autor:
Oliver J. Hulme, Kristoffer Hougaard Madsen, Magnus T. Koudahl, Tobias Morville, Hartwig R. Siebner, Finn Rabe, David Meder, Raymond J. Dolan
Publikováno v:
PLoS Computational Biology, 17 (9)
PLoS Computational Biology
Meder, D, Rabe, F, Morville, T, Madsen, K H, Koudahl, M T, Dolan, R J, Siebner, H R & Hulme, O J 2021, ' Ergodicity-breaking reveals time optimal decision making in humans ', PLOS Computational Biology, vol. 17, no. 9, e1009217 . https://doi.org/10.1371/journal.pcbi.1009217
PLoS Computational Biology, Vol 17, Iss 9, p e1009217 (2021)
PLoS Computational Biology
Meder, D, Rabe, F, Morville, T, Madsen, K H, Koudahl, M T, Dolan, R J, Siebner, H R & Hulme, O J 2021, ' Ergodicity-breaking reveals time optimal decision making in humans ', PLOS Computational Biology, vol. 17, no. 9, e1009217 . https://doi.org/10.1371/journal.pcbi.1009217
PLoS Computational Biology, Vol 17, Iss 9, p e1009217 (2021)
Ergodicity describes an equivalence between the expectation value and the time average of observables. Applied to human behaviour, ergodic theories of decision-making reveal how individuals should tolerate risk in different environments. To optimize
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fcb2cd58319a7e4b216795b87a71655a
https://doi.org/10.1371/journal.pcbi.1009217
https://doi.org/10.1371/journal.pcbi.1009217
Autor:
Oliver J. Hulme, David Meder, Tobias Morville, Raymond J. Dolan, Finn Rabe, Magnus T. Koudahl, Kristoffer Hougaard Madsen, Hartwig R. Siebner
Publikováno v:
2019 Conference on Cognitive Computational Neuroscience.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1bed5d3d030204ee7cb50995dfed35cc
https://doi.org/10.32470/ccn.2019.1089-0
https://doi.org/10.32470/ccn.2019.1089-0