Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Lilian A.E. Weber"'
Autor:
Klaas Enno Stephan, Zina Mary Manjaly, Christoph Daniel Mathys, Lilian A.E. Weber, Saee Paliwal, TIm Gard, Marc Tittgemeyer, Stephen M Fleming, Helene Haker, Anil K Seth, Frederike Hermi Petzschner
Publikováno v:
Frontiers in Human Neuroscience, Vol 10 (2016)
This paper outlines a hierarchical Bayesian framework for interoception, homeostatic/allostatic control, and meta-cognition that connects fatigue and depression to the experience of chronic dyshomeostasis. Specifically, viewing interoception as the i
Externí odkaz:
https://doaj.org/article/be39ab88c5c54142945510fa88162da7
Autor:
Klaas E. Stephan, Katharina V. Wellstein, Frederike H. Petzschner, Cao Tri Do, Lilian A.E. Weber, Gina Paolini
Publikováno v:
NeuroImage, 186
Theoretical frameworks such as predictive coding suggest that the perception of the body and world – interoception and exteroception – involve intertwined processes of inference, learning, and prediction. In this framework, attention is thought t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72600453fcfa86e8e4b584a6ffe3c2ad
https://doi.org/10.1016/j.neuroimage.2018.11.037
https://doi.org/10.1016/j.neuroimage.2018.11.037
Autor:
Franz X. Vollenweider, Klaas E. Stephan, Christoph Mathys, André Schmidt, Andreea O. Diaconescu, Lilian A.E. Weber, Michael Kometer
Publikováno v:
J Neurosci
Weber, L A, Diaconescu, A O, Mathys, C, Schmidt, A, Kometer, M, Vollenweider, F & Stephan, K E 2020, ' Ketamine Affects Prediction Errors about Statistical Regularities: A Computational Single-Trial Analysis of the Mismatch Negativity ', The Journal of Neuroscience, vol. 40, no. 29, pp. 5658-5668 . https://doi.org/10.1523/jneurosci.3069-19.2020
Weber, L A, Diaconescu, A O, Mathys, C, Schmidt, A, Kometer, M, Vollenweider, F & Stephan, K E 2020, ' Ketamine Affects Prediction Errors about Statistical Regularities: A Computational Single-Trial Analysis of the Mismatch Negativity ', The Journal of Neuroscience, vol. 40, no. 29, pp. 5658-5668 . https://doi.org/10.1523/jneurosci.3069-19.2020
The auditory mismatch negativity (MMN) is significantly reduced in schizophrenia. Notably, a similar MMN reduction can be achieved with NMDA receptor (NMDAR) antagonists. Both phenomena have been interpreted as reflecting an impairment of predictive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f73d2ff2b7a9471ca86c923f475ad01e
https://ora.ox.ac.uk/objects/uuid:3d16b375-790a-47fb-b8f8-d354b9484e4d
https://ora.ox.ac.uk/objects/uuid:3d16b375-790a-47fb-b8f8-d354b9484e4d
Autor:
Sara Tomiello, Katharina V. Wellstein, Klaas E. Stephan, Müller D, Lilian A.E. Weber, Sandra Iglesias, Dario Schöbi
The auditory mismatch negativity (MMN) has been proposed as a biomarker of NMDA receptor (NMDAR) dysfunction in schizophrenia. Pathophysiological theories suggest that such dysfunction might be partially caused by aberrant interactions of different m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5201a3647b6bde805fd2c8036e97214b
https://doi.org/10.1101/2021.03.18.435979
https://doi.org/10.1101/2021.03.18.435979
Autor:
Lars Kasper, Klaas E. Stephan, Christoph Mathys, Yu Yao, Stefan Frässle, Frederike H. Petzschner, Sudhir Raman, Lilian A.E. Weber, Matthias Müller-Schrader, Jakob Heinzle, Inês Pereira, Olivia K. Harrison, Dario Schöbi, Birte Toussaint, Ekaterina I. Lomakina, Cao T. Do, Samuel J. Harrison, Eduardo A. Aponte, Kay H. Brodersen, Sandra Iglesias, Saskia Bollmann
Psychiatry faces fundamental challenges with regard to mechanistically guided differential diagnosis, as well as prediction of clinical trajectories and treatment response of individual patients. This has motivated the genesis of two closely intertwi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fbc3ac0e93aca74704c4248ffe993f6
https://doi.org/10.1101/2021.03.12.435091
https://doi.org/10.1101/2021.03.12.435091
Autor:
Christoph Mathys, Lilian A.E. Weber
Publikováno v:
Mathys, C & Weber, L 2020, Hierarchical gaussian filtering of sufficient statistic time series for active inference . in T Verbelen, P Lanillos, C L Buckley & C De Boom (eds), Active Inference-First International Workshop, IWAI 2020, Co-located with ECML/PKDD 2020, Proceedings . Springer, Communications in Computer and Information Science, vol. 1326, pp. 52-58, 1st International Workshop on Active Inference, IWAI 2020 held in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2020, Ghent, Belgium, 14/09/2020 . https://doi.org/10.1007/978-3-030-64919-7_7
Active Inference ISBN: 9783030649180
Active Inference ISBN: 9783030649180
Active inference relies on state-space models to describe the environments that agents sample with their actions. These actions lead to state changes intended to minimize future surprise. We show that surprise minimization relying on Bayesian inferen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6912b4e021ad78d39f99a221e2e3832c
http://hdl.handle.net/20.500.11767/122711
http://hdl.handle.net/20.500.11767/122711
Previous research established that clinical anxiety impairs decision making and that high trait anxiety interferes with learning rates. Less understood are the effects of temporary anxious states on learning and decision making in healthy populations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9db593834f9dd82a50a2c5e1144fe941
Autor:
Sandra Iglesias, Dario Schöbi, Katharina V. Wellstein, Lilian A.E. Weber, Klaas E. Stephan, Sara Tomiello, Lukas Vogelsang
Publikováno v:
2019 Conference on Cognitive Computational Neuroscience.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7830e0ea613f7eeaf7104218bc7dbbf6
https://doi.org/10.32470/ccn.2019.1214-0
https://doi.org/10.32470/ccn.2019.1214-0
Publikováno v:
Journal of Cognitive Neuroscience
Decision-making often requires retrieval from memory. Drawing on the neural ACT-R theory [Anderson, J. R., Fincham, J. M., Qin, Y., & Stocco, A. A central circuit of the mind. Trends in Cognitive Sciences, 12, 136–143, 2008] and other neural models
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06a7446a99fc3e75f07f9d1349fae76d
https://doi.org/10.1162/jocn_a_00882
https://doi.org/10.1162/jocn_a_00882
Publikováno v:
Biological Psychiatry, 82 (6)
This article outlines how a core concept from theories of homeostasis and cybernetics, the inference-control loop, may be used to guide differential diagnosis in computational psychiatry and computational psychosomatics. In particular, we discuss 1)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8ed18f999bccca61fd868c480e24262
https://hdl.handle.net/20.500.11850/182464
https://hdl.handle.net/20.500.11850/182464