Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Stefan T. Radev"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract A central characteristic of Bayesian statistics is the ability to consistently incorporate prior knowledge into various modeling processes. In this paper, we focus on translating domain expert knowledge into corresponding prior distributions
Externí odkaz:
https://doaj.org/article/024e5531ce0f458a8650a2ff36a82f80
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-16 (2023)
Abstract Mathematical models of cognition are often memoryless and ignore potential fluctuations of their parameters. However, human cognition is inherently dynamic. Thus, we propose to augment mechanistic cognitive models with a temporal dimension a
Externí odkaz:
https://doaj.org/article/b1e651ffdb8d4d4ebfedac4051935824
Publikováno v:
Frontiers in Human Neuroscience, Vol 16 (2022)
BackgroundThe contingent negative variation (CNV) is a well-studied indicator of attention- and expectancy-related processes in the human brain. An abnormal CNV amplitude has been found in diverse neurodevelopmental psychiatric disorders. However, it
Externí odkaz:
https://doaj.org/article/070823b617c0410ab92b04327d66dfb8
Autor:
Yuanyuan Lyu, Francesca Zidda, Stefan T. Radev, Hongcai Liu, Xiaoli Guo, Shanbao Tong, Herta Flor, Jamila Andoh
Publikováno v:
Frontiers in Neurology, Vol 12 (2022)
Pain is a multidimensional process, which can be modulated by emotions; however, the mechanisms underlying this modulation are unknown. We used pictures with different emotional valence (negative, positive, and neutral) as primes and applied electric
Externí odkaz:
https://doaj.org/article/d7cc7d22bfcf4b8e8001ebdf2e0d4c7a
Autor:
Stefan T. Radev, Frederik Graw, Simiao Chen, Nico T. Mutters, Vanessa M. Eichel, Till Bärnighausen, Ullrich Köthe
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 10 (2021)
Mathematical models in epidemiology are an indispensable tool to determine the dynamics and important characteristics of infectious diseases. Apart from their scientific merit, these models are often used to inform political decisions and interventio
Externí odkaz:
https://doaj.org/article/700dce7161f14b92b9338f3773914f5d
Autor:
Karin Prillinger, Stefan T. Radev, Gabriel Amador de Lara, Manfred Klöbl, Rupert Lanzenberger, Paul L. Plener, Luise Poustka, Lilian Konicar
Publikováno v:
Frontiers in Psychiatry, Vol 12 (2021)
Background: Social–emotional difficulties are a core symptom of autism spectrum disorder (ASD). Accordingly, individuals with ASD have problems with social cognition such as recognizing emotions from other peoples' faces. Various results from funct
Externí odkaz:
https://doaj.org/article/d5d444c10474404ba18a8ff085c93205
Autor:
Mischa von Krause, Stefan T. Radev, Andreas Voss, Martin Quintus, Boris Egloff, Cornelia Wrzus
Publikováno v:
Journal of Intelligence, Vol 9, Iss 2, p 26 (2021)
In recent years, mathematical models of decision making, such as the diffusion model, have been endorsed in individual differences research. These models can disentangle different components of the decision process, like processing speed, speed–acc
Externí odkaz:
https://doaj.org/article/2f6198664db543259e5d7a599b815f47
Publikováno v:
Tutorials in Quantitative Methods for Psychology, Vol 16, Iss 2, Pp 120-132 (2020)
The diffusion model is one of the most prominent response time models in cognitive psychology. The model describes evidence accumulation as a stochastic process that runs between two boundaries until a threshold is hit, and a decision is made. The mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f7348556b4ba13c99e629e9b7489861
https://doi.org/10.20982/tqmp.16.2.p120
https://doi.org/10.20982/tqmp.16.2.p120
Autor:
Anne C Bischops, Stefan T Radev, Ullrich Köthe, Simiao Chen, Pascal Geldsetzer, Malabika Sarker, Tin Tin Su, Fawzia Ahmed Mohamed, Noorali Darwish, Noor Ani Ahmad, Sidi Ahmed Ould Baba, Till Bärnighausen, Sandra Barteit
Publikováno v:
International journal of epidemiology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23a45663c58869cabd37208e4d3d3e43
https://pubmed.ncbi.nlm.nih.gov/36350584
https://pubmed.ncbi.nlm.nih.gov/36350584
Autor:
Frederik Graw, Simiao Chen, Nico T. Mutters, Stefan T. Radev, Till Bärnighausen, Vanessa M. Eichel, Ullrich Köthe
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, Vol 17, Iss 10, p e1009472 (2021)
PLoS Computational Biology, Vol 17, Iss 10 (2021)
PLoS Computational Biology, Vol 17, Iss 10, p e1009472 (2021)
PLoS Computational Biology, Vol 17, Iss 10 (2021)
Mathematical models in epidemiology are an indispensable tool to determine the dynamics and important characteristics of infectious diseases. Apart from their scientific merit, these models are often used to inform political decisions and interventio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8d9aad83f90e1c7e0a0548a9c1c49b0
http://europepmc.org/articles/PMC8584772
http://europepmc.org/articles/PMC8584772