Zobrazeno 1 - 10
of 141
pro vyhledávání: '"Fabian Grabenhorst"'
Publikováno v:
eLife, Vol 8 (2019)
Risk derives from the variation of rewards and governs economic decisions, yet how the brain calculates risk from the frequency of experienced events, rather than from explicit risk-descriptive cues, remains unclear. Here, we investigated whether neu
Externí odkaz:
https://doaj.org/article/70f5e10df3444d448fe513d36807774a
Autor:
Jae Hyung Woo, Claudia G. Aguirre, Bilal A. Bari, Ken-Ichiro Tsutsui, Fabian Grabenhorst, Jeremiah Y. Cohen, Wolfram Schultz, Alicia Izquierdo, Alireza Soltani
Publikováno v:
Cognitive, Affective, & Behavioral Neuroscience.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e91836f8bd44e5c7e719e865915a447f
https://doi.org/10.3758/s13415-023-01089-1
https://doi.org/10.3758/s13415-023-01089-1
Publikováno v:
Nature Communications, Vol 7, Iss 1, Pp 1-16 (2016)
Economic decisions are based on perceived reward value but it is unclear how individual neurons encode value estimates as input for decision mechanisms. Here authors show that dorsolateral prefrontal cortex uses a dynamic value code based on object-s
Externí odkaz:
https://doaj.org/article/26464814aefc4b0a961456c947f5eef0
Autor:
Jae Hyung Woo, Claudia G. Aguirre, Bilal A. Bari, Ken-Ichiro Tsutsui, Fabian Grabenhorst, Jeremiah Y. Cohen, Wolfram Schultz, Alicia Izquierdo, Alireza Soltani
Publikováno v:
Cognitive, Affective, & Behavioral Neuroscience.
Despite being unpredictable and uncertain, reward environments often exhibit certain regularities, and animals navigating these environments try to detect and utilize such regularities to adapt their behavior. However, successful learning requires th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c81bd8d5404c6e50f3747be2245b64a
https://doi.org/10.3758/s13415-022-01059-z
https://doi.org/10.3758/s13415-022-01059-z
Autor:
Fei-Yang Huang, Fabian Grabenhorst
In reinforcement learning (RL), animals choose by assigning values to options and learn by updating these values from reward outcomes. This framework has been instrumental in identifying fundamental learning variables and their neuronal implementatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::369eb4ec1a18ca8dd7dacbd1054d586b
https://ora.ox.ac.uk/objects/uuid:e0343538-4090-4a15-937a-321984fd2015
https://ora.ox.ac.uk/objects/uuid:e0343538-4090-4a15-937a-321984fd2015
Autor:
Fabian Grabenhorst, Wolfram Schultz, Leo Chi U Seak, Konstantin Volkmann, Alexandre Pastor-Bernier
Publikováno v:
The Journal of Neuroscience
Rewarding choice options typically contain multiple components, but neural signals in single brain voxels are scalar and primarily vary up or down. In a previous study, we had designed reward bundles that contained the same two milkshakes with indepe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::729d1c348844f1da12b4711b85b2779b
http://europepmc.org/articles/PMC8018883
http://europepmc.org/articles/PMC8018883
Publikováno v:
eLife, Vol 5 (2016)
The amygdala is a prime valuation structure yet its functions in advanced behaviors are poorly understood. We tested whether individual amygdala neurons encode a critical requirement for goal-directed behavior: the evaluation of progress during seque
Externí odkaz:
https://doaj.org/article/14563d7d0e494a329357b4d196135466
Autor:
Fanglu Huang, Fabian Grabenhorst
Animals make adaptive food choices to acquire nutrients that are essential for survival. In reinforcement learning (RL), animals choose by assigning values to options and update these values with new experiences. This framework has been instrumental
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ae598f3a6979d7c085511fa71bd6aec
https://doi.org/10.1101/2021.06.20.448600
https://doi.org/10.1101/2021.06.20.448600
Publikováno v:
Nature Communications, Vol 8, Iss 1, Pp 1-1 (2017)
Nature Communications 7: Article number: 12554 (2016); Published: 13 September 2016; Updated: 23 November 2017. The previously published version of this Article contained an error in Figure 1. In panel b the x and y axis labels of the scatter graph w
Externí odkaz:
https://doaj.org/article/eb5eab692ce54ea1b8a5317b5f930769
Autor:
Simone Ferrari-Toniolo, Philipe M. Bujold, Wolfram Schultz, Fabian Grabenhorst, Raymundo Báez-Mendoza
Publikováno v:
The Journal of Neuroscience
Expected Utility Theory (EUT), the first axiomatic theory of risky choice, describes choices as a utility maximization process: decision makers assign a subjective value (utility) to each choice option and choose the one with the highest utility. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62f220a08f69f3dc08554d92b60c03d0
https://www.repository.cam.ac.uk/handle/1810/316076
https://www.repository.cam.ac.uk/handle/1810/316076