Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Filip Melinscak"'
Autor:
Alexander Karner, Mengfan Zhang, Cindy Sumaly Lor, David Steyrl, Sebastian Jakob Götzendorfer, Steffi Weidt, Filip Melinscak, Frank Scharnowski
Publikováno v:
Frontiers in Psychology, Vol 15 (2024)
Externí odkaz:
https://doaj.org/article/c00b937191294559b7d9d69defec45b1
Autor:
Filip Melinscak, Dominik R Bach
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 1, p e1007593 (2020)
With computational biology striving to provide more accurate theoretical accounts of biological systems, use of increasingly complex computational models seems inevitable. However, this trend engenders a challenge of optimal experimental design: due
Externí odkaz:
https://doaj.org/article/1b99ba2ff675437dabad30c432faef5e
Autor:
Dominik R. Bach, Raymond J. Dolan, Filip Melinscak, Giuseppe Castegnetti, Saurabh Khemka, Gareth R. Barnes, Athina Tzovara
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-11 (2020)
Castegnetti, Giuseppe; Tzovara, Athina; Khemka, Saurabh; Melinščak, Filip; Barnes, Gareth R.; Dolan, Raymond J.; Bach, Dominik R. (2020). Representation of probabilistic outcomes during risky decision-making. Nature Communications, 11(1), p. 2419. Springer Nature 10.1038/s41467-020-16202-y
Nature Communications
Castegnetti, Giuseppe; Tzovara, Athina; Khemka, Saurabh; Melinščak, Filip; Barnes, Gareth R.; Dolan, Raymond J.; Bach, Dominik R. (2020). Representation of probabilistic outcomes during risky decision-making. Nature Communications, 11(1), p. 2419. Springer Nature 10.1038/s41467-020-16202-y
Nature Communications
Goal-directed behaviour requires prospectively retrieving and evaluating multiple possible action outcomes. While a plethora of studies suggested sequential retrieval for deterministic choice outcomes, it remains unclear whether this is also the case
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6776e5bbd26afb579eacad76976a9561
http://link.springer.com/article/10.1038/s41467-020-16202-y
http://link.springer.com/article/10.1038/s41467-020-16202-y
Autor:
Dominik R. Bach, Filip Melinscak
Publikováno v:
Behaviour Research and Therapy
Quantification of fear conditioning is paramount to many clinical and translational studies on aversive learning. Various measures of fear conditioning co-exist, including different observables and different methods of pre-processing. Here, we first
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dfc7626123ba92e272cad637acfe1176
http://europepmc.org/articles/PMC7078750
http://europepmc.org/articles/PMC7078750
Autor:
Dominik R. Bach, Filip Melinscak
Publikováno v:
2018 Conference on Cognitive Computational Neuroscience.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28f640630bab9ebccf2199130a4b2bfe
https://doi.org/10.32470/ccn.2018.1052-0
https://doi.org/10.32470/ccn.2018.1052-0
Autor:
Christoph W. Korn, Samuel Gerster, Tobias Moser, Dominik R. Bach, Filip Melinscak, Giuseppe Castegnetti
Publikováno v:
Psychophysiology
Psychologists often use peripheral physiological measures to infer a psychological variable. It is desirable to make this inverse inference in the most precise way, ideally standardized across research laboratories. In recent years, psychophysiologic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c6c3b1687070d9bdd6820f0038222cd
https://hdl.handle.net/21.11116/0000-0002-AE6E-0
https://hdl.handle.net/21.11116/0000-0002-AE6E-0
Autor:
Filip Melinscak, Luis Montesano
Publikováno v:
EMBC
Sample sizes and, consequently, statistical power have a large influence on the reliability of statistical results, but they are often neglected when planning and reporting studies of brain-computer interfaces (BCIs). This may be in part due to the l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::150243d0210f65979c460774426ae730
https://pubmed.ncbi.nlm.nih.gov/28268616
https://pubmed.ncbi.nlm.nih.gov/28268616
Autor:
Filip Melinscak, Luis Montesano
To statistically evaluate the performance of brain-computer interfaces (BCIs), researchers usually rely on null hypothesis significance testing (NHST), i.e. p-values. However, over-reliance on NHST is often identified as one of the causes of the rece
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca7284c899d3ae6c75187b1ee709fdba
Publikováno v:
Journal of neural engineering. 13(1)
Objective Attention is known to modulate the plasticity of the motor cortex, and plasticity is crucial for recovery in motor rehabilitation. This study addresses the possibility of using an EEG-based brain-computer interface (BCI) to detect kinesthet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb50d56766f9b253215a1c5934c85458
https://pubmed.ncbi.nlm.nih.gov/26735705
https://pubmed.ncbi.nlm.nih.gov/26735705
Autor:
Luis Montesano, Filip Melinscak
Publikováno v:
Journal of Neuroscience Methods
Background To statistically evaluate the performance of brain–computer interfaces (BCIs), researchers usually rely on null hypothesis significance testing (NHST), i.e. p -values. However, over-reliance on NHST is often identified as one of the caus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e6f7b939105672e29dfdb81aa337063