Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Samuel D. McDougle"'
Autor:
Samuel D. McDougle, Jordan A. Taylor
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-13 (2019)
Motor learning is thought to be mostly procedural, but recent work has suggested that there is a strong cognitive component to it. Here, the authors show that humans use dissociable cognitive strategies, either caching successful responses or using a
Externí odkaz:
https://doaj.org/article/b2f1e439306c41118aef97341cf17f06
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
Publikováno v:
Trends in Neurosciences. 45:176-183
Brain-computer interfaces (BCIs) for movement restoration typically decode the user's intent from neural activity in their primary motor cortex (M1) and use this information to enable 'mental control' of an external device. Here, we argue that activi
Publikováno v:
J Cogn Neurosci
Classic taxonomies of memory distinguish explicit and implicit memory systems, placing motor skills squarely in the latter branch. This assertion is in part a consequence of foundational discoveries showing significant motor learning in amnesics. Tho
Autor:
Sami Ryan Yousif, Samuel D McDougle
A variety of phenomena related to the oblique regions of space have been observed across modality (e.g., in vision and in action) and across domain (e.g., for properties like orientation and location). For instance, the classic ‘oblique effect’ d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0e84a0192b4fe1b7d97ada2202f4f82
https://doi.org/10.31234/osf.io/wxya3
https://doi.org/10.31234/osf.io/wxya3
People form metacognitive representations of their own abilities across a range of tasks. How these representations are influenced by errors during learning is poorly understood. Here we ask how metacognitive confidence judgments of performance durin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b2f702e88237f757c68e5f69e4d8764
https://doi.org/10.1101/2023.01.17.524436
https://doi.org/10.1101/2023.01.17.524436
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America. 119(30)
Prediction errors guide many forms of learning, providing teaching signals that help us improve our performance. Implicit motor adaptation, for instance, is driven by sensory prediction errors (SPEs), which occur when the expected and observed conseq
Attention and learning are intertwined. While previous work has primarily examined how the focus of attention can shape learning, how the dynamics of learning might impact your attentional state on a moment-to-moment basis is an open question. Here w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72555d6fc216ded9e298831baac92367
https://doi.org/10.31234/osf.io/c8zq7
https://doi.org/10.31234/osf.io/c8zq7
Publikováno v:
eLife
Traditional associative learning tasks focus on the formation of associations between salient events and arbitrary stimuli that predict those events. This is exemplified in cerebellar-dependent delay eyeblink conditioning, where arbitrary cues such a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2b86fed7a06a4d803e6803934784520
https://hdl.handle.net/21.11116/0000-000A-E985-9
https://hdl.handle.net/21.11116/0000-000A-E985-9
Publikováno v:
Cerebral cortex (New York, N.Y. : 1991), vol 32, iss 1
Cereb Cortex
Cereb Cortex
People often learn from the outcomes of their actions, even when these outcomes do not involve material rewards or punishments. How does our brain provide this flexibility? We combined behavior, computational modeling, and functional neuroimaging to