Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Rasmus Bruckner"'
Publikováno v:
eLife, Vol 12 (2024)
Memories are stored as ensembles of engram neurons and their successful recall involves the reactivation of these cellular networks. However, significant gaps remain in connecting these cell ensembles with the process of forgetting. Here, we utilized
Externí odkaz:
https://doaj.org/article/aec38b79b4be4abe8dc61034e34123e6
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 8, p e1012331 (2024)
Surprise is a key component of many learning experiences, and yet its precise computational role, and how it changes with age, remain debated. One major challenge is that surprise often occurs jointly with other variables, such as uncertainty and out
Externí odkaz:
https://doaj.org/article/d9f1e479cea94100a61d7f480637e2a3
Publikováno v:
eLife, Vol 13 (2024)
Externí odkaz:
https://doaj.org/article/744b20333bf649908247c2e42e85813b
Publikováno v:
npj Science of Learning, Vol 8, Iss 1, Pp 1-13 (2023)
Abstract Expectations can lead to prediction errors of varying degrees depending on the extent to which the information encountered in the environment conforms with prior knowledge. While there is strong evidence on the computationally specific effec
Externí odkaz:
https://doaj.org/article/3289b30b22834b239c462fc1431e4f52
Autor:
Yuan-Wei Yao, Kun-Ru Song, Nicolas W. Schuck, Xin Li, Xiao-Yi Fang, Jin-Tao Zhang, Hauke R. Heekeren, Rasmus Bruckner
Publikováno v:
NeuroImage, Vol 279, Iss , Pp 120326- (2023)
Decisions that require taking effort costs into account are ubiquitous in real life. The neural common currency theory hypothesizes that a particular neural network integrates different costs (e.g., risk) and rewards into a common scale to facilitate
Externí odkaz:
https://doaj.org/article/986da2773d614daca8a9524862b1fb7d
Publikováno v:
eLife, Vol 10 (2021)
Influential theories emphasize the importance of predictions in learning: we learn from feedback to the extent that it is surprising, and thus conveys new information. Here, we explore the hypothesis that surprise depends not only on comparing curren
Externí odkaz:
https://doaj.org/article/e68cf200493a454991ac2d0b2e114ba7
Publikováno v:
Developmental Cognitive Neuroscience, Vol 33, Iss , Pp 42-53 (2018)
In recent years, the application of computational modeling in studies on age-related changes in decision making and learning has gained in popularity. One advantage of computational models is that they provide access to latent variables that cannot b
Externí odkaz:
https://doaj.org/article/433db26e8f9c4280bc8f6f50b8ebad43
Publikováno v:
eLife, Vol 8 (2019)
Learning should be adjusted according to the surprise associated with observed outcomes but calibrated according to statistical context. For example, when occasional changepoints are expected, surprising outcomes should be weighted heavily to speed l
Externí odkaz:
https://doaj.org/article/05f9eecddbc6472ab59abc15fe64d50c
Publikováno v:
BioRxiv
SummaryMemories are stored as ensembles of engram neurons and their successful recall involves the reactivation of these cellular networks. While progress has been made in understanding the biology of engrams, significant gaps remain in connecting th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eaebf230c174862c8c76be7f981dfb22
https://doi.org/10.1101/2023.04.15.537013
https://doi.org/10.1101/2023.04.15.537013
Autor:
Matthew R. Nassar, Rasmus Bruckner, Joshua I. Gold, Shu-Chen Li, Hauke R. Heekeren, Ben Eppinger
Publikováno v:
Nature Communications, Vol 7, Iss 1, Pp 1-13 (2016)
The ability to learn decreases with old age especially in a dynamically changing environment, however the precise nature of this decline is not understood. Nassar and colleagues report that older adults show a reduced ability to learn from uncertain
Externí odkaz:
https://doaj.org/article/81fabb5e56e84a43adab226f4abbfcb7