Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Anastasia Sylaidi"'
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-17 (2021)
In this study, the authors distinguish between changes of mind about perceptual vs. intentional decisions. A Hierarchical Attractor Network Model is proposed in which human voluntary actions emerge from continuous and dynamic integration of higher-or
Externí odkaz:
https://doaj.org/article/102ed090a4e949dab81ee994cc9d1bc6
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-17 (2021)
Nature Communications
Nature Communications
Changes of Mind are a striking example of our ability to flexibly reverse decisions and change our own actions. Previous studies largely focused on Changes of Mind in decisions about perceptual information. Here we report reversals of decisions that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b048f9621d89faea494cfb1bf2c45cb
https://doi.org/10.1038/s41467-021-22017-2
https://doi.org/10.1038/s41467-021-22017-2
Autor:
Kyriacos Nikiforou, Anastasia Sylaidi, Murray Shanahan, Zafeirios Fountas, Anil K. Seth, Warrick Roseboom
Human perception and experience of time is strongly influenced by ongoing stimulation, memory of past experiences, and required task context. When paying attention to time, time experience seems to expand; when distracted, it seems to contract. When
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7125815f9b1fb7273ef089730c2ef31e
https://doi.org/10.1101/2020.02.17.953133
https://doi.org/10.1101/2020.02.17.953133
Changes of Mind are a striking example of the human ability to flexibly reverse decisions after commitment to an initial choice, and to change actions according to circumstances. Previous studies of Changes of Mind largely focused on perceptual choic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f07c55372807137423bd23d844ff12eb
Publikováno v:
Proceedings of the 6th International Congress on Neurotechnology, Electronics and Informatics.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6f55f4a457b8f84ae6054bf9d232a5d
https://doi.org/10.5220/0006962400210032
https://doi.org/10.5220/0006962400210032
Autor:
Anastasia Sylaidi, Constantinos Gavriel, Stavros Athanasopoulos, A. Aldo Faisal, Pedro Rente Lourencco, Sathiji Nageshwaran, Richard Festenstein, Andreas A. C. Thomik
Publikováno v:
BSN
We have deployed body sensor network (BSN) technology in clinical trials and developed behavioural analytics to quantify and monitor longitudinally the progression of Friedreich;s Ataxia (FRDA) outside the lab. Patients and their carers administered
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f48f20257b2309a085102f15803d112
https://doi.org/10.1109/bsn.2015.7299426
https://doi.org/10.1109/bsn.2015.7299426
Autor:
Constantinos Gavriel, A. Aldo Faisal, Andreas A. C. Thomik, Pedro Rente Lourenco, Sathiji Nageshwaran, Richard Festenstein, Anastasia Sylaidi, Stavros Athanasopoulos
Publikováno v:
NER
This study focuses on the objective quantification of the disease progression in patients with Friedreich's Ataxia (FRDA) through the use of kinematic body sensor network technology. Currently, this quantification is performed through a series of tas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::426c9e7cbff17b099e0d8412b0193c02
https://doi.org/10.1109/ner.2015.7146631
https://doi.org/10.1109/ner.2015.7146631
Autor:
Anastasia Sylaidi, Marisol Rodriguez, Chin-Hsuan Lin, A. Aldo Faisal, Sathiji Nageshwaran, Pedro Rente Lourenco, Richard Festenstein
Publikováno v:
7th Annual International IEEE EMBS Conference on Neural Engineering
NER
NER
Functional neuroimaging plays a key role in addressing open questions in systems and motor neuroscience directly applicable to brain machine interfaces. Building on our low-cost motion capture technology (fMOVE), we developed f2MOVE, an fMRI-compatib
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7211357ec1f22ad6316edfd1bb5f3669
http://hdl.handle.net/10044/1/23343
http://hdl.handle.net/10044/1/23343
Publikováno v:
NEUROTECHNIX
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::006fe21edc1c4d76bad810b9642c0d19
https://doi.org/10.5220/0005094700250030
https://doi.org/10.5220/0005094700250030
Autor:
Fountas, Zafeirios1,2 (AUTHOR) z.fountas@ucl.ac.uk, Sylaidi, Anastasia3 (AUTHOR) a.speira@gmail.com, Nikiforou, Kyriacos4 (AUTHOR) kyriacosnikiforou@gmail.com, Seth, Anil K.5,6 (AUTHOR) a.k.seth@sussex.ac.uk, Shanahan, Murray7 (AUTHOR) m.shanahan@imperial.ac.uk, Roseboom, Warrick8 (AUTHOR) w.j.roseboom@sussex.ac.uk
Publikováno v:
Neural Computation. 2022, Vol. 34 Issue 7, p1501-1544. 44p. 4 Diagrams, 1 Chart, 4 Graphs.