Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Aaron P. Batista"'
Autor:
Mohsen Sadeghi, Reza Sharif Razavian, Salah Bazzi, Raeed H Chowdhury, Aaron P Batista, Patrick J Loughlin, Dagmar Sternad
Publikováno v:
eLife, Vol 12 (2024)
Natural behaviors have redundancy, which implies that humans and animals can achieve their goals with different strategies. Given only observations of behavior, is it possible to infer the control objective that the subject is employing? This challen
Externí odkaz:
https://doaj.org/article/ec09add468d749b2a95acc713f178a69
Publikováno v:
Neuron. 111:764-766
Autor:
Adam L. Smoulder, Patrick J. Marino, Emily R. Oby, Sam E. Snyder, Hiroo Miyata, Nick P. Pavlovsky, William E. Bishop, Byron M. Yu, Steven M. Chase, Aaron P. Batista
Publikováno v:
bioRxiv
Incentives tend to drive improvements in performance. But when incentives get too high, we can “choke under pressure” and underperform when it matters most. What neural processes might lead to choking under pressure? We studied Rhesus monkeys per
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b9b6310055b976ba051d1cbaeddfe1c
https://europepmc.org/articles/PMC10120738/
https://europepmc.org/articles/PMC10120738/
Autor:
Brian M. Dekleva, Raeed H. Chowdhury, Aaron P. Batista, Steven M. Chase, Byron M. Yu, Michael L. Boninger, Jennifer L. Collinger
Publikováno v:
bioRxiv
The most prominent role of motor cortex is generating patterns of neural activity that lead to movement, but it is also active when we simply imagine movements in the absence of actual motor output. Despite decades of behavioral and imaging studies,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65ce047bdcad8f128deab0ba6e1da2c9
https://doi.org/10.1101/2023.01.17.524394
https://doi.org/10.1101/2023.01.17.524394
Autor:
Jay A Hennig, Matthew D Golub, Peter J Lund, Patrick T Sadtler, Emily R Oby, Kristin M Quick, Stephen I Ryu, Elizabeth C Tyler-Kabara, Aaron P Batista, Byron M Yu, Steven M Chase
Publikováno v:
eLife, Vol 7 (2018)
Millions of neurons drive the activity of hundreds of muscles, meaning many different neural population activity patterns could generate the same movement. Studies have suggested that these redundant (i.e. behaviorally equivalent) activity patterns m
Externí odkaz:
https://doaj.org/article/3ba0262471c84c91a0cbbec3c64ce179
Autor:
Aaron P, Batista, Gregory D, Horwitz
Publikováno v:
Curr Biol
The study of perceptual decision making in monkeys has provided insights into the process by which sensory evidence is integrated towards a decision. When monkeys make decisions with the knowledge of the motor actions the decisions bear upon, the pro
Autor:
Darby M. Losey, Jay A. Hennig, Emily R. Oby, Matthew D. Golub, Patrick T. Sadtler, Kristin M. Quick, Stephen I. Ryu, Elizabeth C. Tyler-Kabara, Aaron P. Batista, Byron M. Yu, Steven M. Chase
How are we able to learn new behaviors without disrupting previously learned ones? To understand how the brain achieves this, we used a brain-computer interface (BCI) learning paradigm, which enables us to detect the presence of a memory of one behav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2346ac050566f58128f67696d380d7c8
https://doi.org/10.1101/2022.07.05.498856
https://doi.org/10.1101/2022.07.05.498856
Publikováno v:
J Neurophysiol
Cutaneous mechanoreceptors in our hands gather information about the objects we handle. Tactile fibers encode mixed information about contact events and object properties. Neural coding in tactile afferents is typically studied by varying a single as
Autor:
Byron M. Yu, Emily R. Oby, Aaron P. Batista, Alan D. Degenhart, William Bishop, Elizabeth C. Tyler-Kabara, Steven M. Chase
Publikováno v:
Nature Biomedical Engineering. 4:672-685
The instability of neural recordings can render clinical brain–computer interfaces (BCIs) uncontrollable. Here, we show that the alignment of low-dimensional neural manifolds (low-dimensional spaces that describe specific correlation patterns betwe
Publikováno v:
Neuron
How do changes in the brain lead to learning? To answer this question, consider an artificial neural network (ANN), where learning proceeds by optimizing a given objective or cost function. This “optimization framework” may provide new insights i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0a5f3031626a904bcde599b83167cba
https://europepmc.org/articles/PMC8639641/
https://europepmc.org/articles/PMC8639641/