Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Maria K Eckstein"'
Autor:
Liyu Xia, Sarah L Master, Maria K Eckstein, Beth Baribault, Ronald E Dahl, Linda Wilbrecht, Anne Gabrielle Eva Collins
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 7, p e1008524 (2021)
In the real world, many relationships between events are uncertain and probabilistic. Uncertainty is also likely to be a more common feature of daily experience for youth because they have less experience to draw from than adults. Some studies sugges
Externí odkaz:
https://doaj.org/article/c05eadd4cbf7451cb7b15e8aeda4f678
Publikováno v:
Developmental Cognitive Neuroscience, Vol 55, Iss , Pp 101106- (2022)
During adolescence, youth venture out, explore the wider world, and are challenged to learn how to navigate novel and uncertain environments. We investigated how performance changes across adolescent development in a stochastic, volatile reversal-lea
Externí odkaz:
https://doaj.org/article/4653d4ec79b442988b69a14779f29776
Autor:
Sarah L. Master, Maria K. Eckstein, Neta Gotlieb, Ronald Dahl, Linda Wilbrecht, Anne G.E. Collins
Publikováno v:
Developmental Cognitive Neuroscience, Vol 45, Iss , Pp 100854- (2020)
Externí odkaz:
https://doaj.org/article/0ba101a4d22249d9acfd72054d546be7
Autor:
Sarah L. Master, Maria K. Eckstein, Neta Gotlieb, Ronald Dahl, Linda Wilbrecht, Anne G.E. Collins
Publikováno v:
Developmental Cognitive Neuroscience, Vol 41, Iss , Pp - (2020)
Multiple neurocognitive systems contribute simultaneously to learning. For example, dopamine and basal ganglia (BG) systems are thought to support reinforcement learning (RL) by incrementally updating the value of choices, while the prefrontal cortex
Externí odkaz:
https://doaj.org/article/7d507e790d794f39a45cf26423dada7c
Publikováno v:
Developmental Cognitive Neuroscience, Vol 25, Iss , Pp 69-91 (2017)
This review provides an introduction to two eyetracking measures that can be used to study cognitive development and plasticity: pupil dilation and spontaneous blink rate. We begin by outlining the rich history of gaze analysis, which can reveal the
Externí odkaz:
https://doaj.org/article/9d0f6ee342c543c0a77f093b9862dc15
Publikováno v:
Proceedings of the Annual Meeting of the Cognitive Science Society, vol 45, iss 45
Quantitative models of behavior are a fundamental tool in cognitive science. Typically, models are hand-crafted to implement specific cognitive mechanisms. Such “classic” models are interpretable by design, but may provide poor fit to experimenta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::597091519617817b36e3a9d521deedfe
https://escholarship.org/uc/item/9g67x572
https://escholarship.org/uc/item/9g67x572
During adolescence, youth venture out, explore the wider world, and are challenged to learn how to navigate novel and uncertain environments. We investigated how performance changes across adolescent development in a stochastic, volatile reversal-lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1a88e357481a81617491e8ffb9cd78a
https://escholarship.org/uc/item/6dp7n3zt
https://escholarship.org/uc/item/6dp7n3zt
Autor:
Joel Z. Leibo, Alexander Sasha Vezhnevets, Maria K. Eckstein, John P. Agapiou, Edgar A. Duéñez-Guzmán
Publikováno v:
Behavioral and Brain Sciences. 45
Humans are learning agents that acquire social group representations from experience. Here, we discuss how to construct artificial agents capable of this feat. One approach, based on deep reinforcement learning, allows the necessary representations t
Publikováno v:
Curr Opin Behav Sci
Reinforcement learning (RL) is a concept that has been invaluable to research fields including machine learning, neuroscience, and cognitive science. However, what RL entails partly differs between fields, leading to difficulties when interpreting an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f67cdcd993fd510215d2970434466688
https://escholarship.org/uc/item/0rh1h487
https://escholarship.org/uc/item/0rh1h487
Autor:
Liyu Xia, Ronald E. Dahl, Maria K. Eckstein, Anne G.E. Collins, Sarah L. Master, Linda Wilbrecht
Reinforcement Learning (RL) models have revolutionized the cognitive and brain sciences, promising to explain behavior from simple conditioning to complex problem solving, to shed light on developmental and individual differences, and to anchor cogni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0db8bc9e9895efc9066af0ebf8a25c5
https://doi.org/10.1101/2021.05.28.446162
https://doi.org/10.1101/2021.05.28.446162