Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Dirk Ostwald"'
Publikováno v:
Neuroimage: Reports, Vol 3, Iss 1, Pp 100161- (2023)
Language is central to human life; however, how our brains derive meaning from language is still not well understood. A commonly studied electrophysiological measure of on-line meaning related processing is the N400 component, the computational basis
Externí odkaz:
https://doaj.org/article/9bf0ab2f50e849a2bcabc690c16af74d
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 2, p e1008068 (2021)
Tracking statistical regularities of the environment is important for shaping human behavior and perception. Evidence suggests that the brain learns environmental dependencies using Bayesian principles. However, much remains unknown about the employe
Externí odkaz:
https://doaj.org/article/2794bf1c5976490f85456fd960066def
Autor:
Loreen Tisdall, Renato Frey, Andreas Horn, Dirk Ostwald, Lilla Horvath, Andreas Pedroni, Jörg Rieskamp, Felix Blankenburg, Ralph Hertwig, Rui Mata
Publikováno v:
Frontiers in Behavioral Neuroscience, Vol 14 (2020)
Maladaptive risk taking can have severe individual and societal consequences; thus, individual differences are prominent targets for intervention and prevention. Although brain activation has been shown to be associated with individual differences in
Externí odkaz:
https://doaj.org/article/6e60f45226e64668ae474ac3ba6a241b
Autor:
Ulf Toelch, Dirk Ostwald
Publikováno v:
PLoS Biology, Vol 16, Iss 7, p e2006022 (2018)
An important hallmark of science is the transparency and reproducibility of scientific results. Over the last few years, internet-based technologies have emerged that allow for a representation of the scientific process that goes far beyond tradition
Externí odkaz:
https://doaj.org/article/3e8eb4aa0c474dcabeb868f89d9266e7
Autor:
Ludger Starke, Dirk Ostwald
Publikováno v:
Frontiers in Neuroscience, Vol 11 (2017)
Variational Bayes (VB), variational maximum likelihood (VML), restricted maximum likelihood (ReML), and maximum likelihood (ML) are cornerstone parametric statistical estimation techniques in the analysis of functional neuroimaging data. However, the
Externí odkaz:
https://doaj.org/article/5b08260e3a224e48b7f1d0c5b1ca8058
Publikováno v:
PLoS ONE, Vol 7, Iss 4, p e33896 (2012)
The modern metaphor of the brain is that of a dynamic information processing device. In the current study we investigate how a core cognitive network of the human brain, the perceptual decision system, can be characterized regarding its spatiotempora
Externí odkaz:
https://doaj.org/article/2ed63f5d958b4c859e25862e4344393a
Publikováno v:
PLoS ONE, Vol 6, Iss 9, p e24642 (2011)
EEG and fMRI recordings measure the functional activity of multiple coherent networks distributed in the cerebral cortex. Identifying network interaction from the complementary neuroelectric and hemodynamic signals may help to explain the complex rel
Externí odkaz:
https://doaj.org/article/06829ae9c1974ce1943efc8ec86bb540
Language is central to human life; however, how our brains derive meaning from language is still not well understood. A commonly studied electrophysiological measure of on-line meaning related processing is the N400 component, the computational basis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb44a175ab6b02ec3d89f93ea004bc09
https://doi.org/10.1101/2022.05.31.494099
https://doi.org/10.1101/2022.05.31.494099
Autor:
Dirk Ostwald, Michael P. Milham, Shruti Ray, Philipp Schwartenbeck, Lilla Horvath, Stanley J. Colcombe
Publikováno v:
Computational Brain & Behavior
Humans often face sequential decision-making problems, in which information about the environmental reward structure is detached from rewards for a subset of actions. For example, a medicated patient may consider partaking in a clinical trial on the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::385af2ccf08327e2e60311a7992d98f2
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 2, p e1008068 (2021)
PLoS Computational Biology
PLoS Computational Biology
Tracking statistical regularities of the environment is important for shaping human behavior and perception. Evidence suggests that the brain learns environmental dependencies using Bayesian principles. However, much remains unknown about the employe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::acf8df3da10ce4873f5b4c6a62adf57c