Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Anne GE Collins"'
Autor:
Jonathan S Tsay, Hyosub E Kim, Samuel D McDougle, Jordan A Taylor, Adrian Haith, Guy Avraham, John W Krakauer, Anne GE Collins, Richard B Ivry
Publikováno v:
eLife, Vol 13 (2024)
Motor learning is often viewed as a unitary process that operates outside of conscious awareness. This perspective has led to the development of sophisticated models designed to elucidate the mechanisms of implicit sensorimotor learning. In this revi
Externí odkaz:
https://doaj.org/article/1e30b82b943749ac9d06b188adcb2914
Autor:
Milena Rmus, Mingjian He, Beth Baribault, Edward G Walsh, Elena K Festa, Anne GE Collins, Matthew R Nassar
Publikováno v:
eLife, Vol 12 (2023)
The ability to use past experience to effectively guide decision-making declines in older adulthood. Such declines have been theorized to emerge from either impairments of striatal reinforcement learning systems (RL) or impairments of recurrent netwo
Externí odkaz:
https://doaj.org/article/743fb0adb7b3433ead4d8f06ea1f4a30
Autor:
Maria Katharina Eckstein, Sarah L Master, Liyu Xia, Ronald E Dahl, Linda Wilbrecht, Anne GE Collins
Publikováno v:
eLife, Vol 11 (2022)
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://doaj.org/article/7971829955ec4d938063fed17249c5e6
Autor:
Robert C Wilson, Anne GE Collins
Publikováno v:
eLife, Vol 8 (2019)
Computational modeling of behavior has revolutionized psychology and neuroscience. By fitting models to experimental data we can probe the algorithms underlying behavior, find neural correlates of computational variables and better understand the eff
Externí odkaz:
https://doaj.org/article/ed612e1b0bc24490b5eef19f3cce84e8
Autor:
Maria Katharina Eckstein, Sarah L Master, Liyu Xia, Ronald E Dahl, Linda Wilbrecht, Anne GE Collins
Publikováno v:
eLife. 11
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_dedup___::0b6bc8f0c2d01bdf5f5bb0c33bf8d928
https://pubmed.ncbi.nlm.nih.gov/36331872
https://pubmed.ncbi.nlm.nih.gov/36331872