Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Venkata S, Aditya Tarigoppula"'
Autor:
Joseph, Attias, Suhail, HabibAllah, Venkata S, Aditya Tarigoppula, Hannah, Glick, Chen, Chen, Koka, Kanthaiah, Leonid, Litvak
Publikováno v:
Ear & Hearing. 43:1426-1436
The use of objective measures in cochlear implant (CI) mapping, has greatly contributed to the refinement of the setting of audible and comfortable stimulation levels, which serve as the basis of the mapping process, especially in cases of infants an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f7d717daaf717979b220c9529305019
https://doi.org/10.1097/aud.0000000000001212
https://doi.org/10.1097/aud.0000000000001212
Autor:
Junmo An, Taruna Yadav, Joseph T. Francis, Mohammad Badri Ahmadi, Venkata S Aditya Tarigoppula
Publikováno v:
EMBC
We are developing an autonomously updating brain machine interface (BMI) utilizing reinforcement learning principles. One aspect of this system is a neural critic that determines reward expectations from neural activity. This critic is then used to u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46392e5d56685c94fe7b4243a549a881
https://doi.org/10.1109/embc.2018.8512274
https://doi.org/10.1109/embc.2018.8512274
Autor:
John S. Choi, Brandy T Marsh, Joseph T. Francis, Venkata S Aditya Tarigoppula, David B. McNiel, Jack H Hessburg
Temporal difference reinforcement learning (TDRL) accurately models associative learning observed in animals, where they learn to associate outcome predicting environmental states, termed conditioned stimuli (CS), with the value of outcomes, such as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3eff66c2668e2e314e8b25d4b92bac18
https://doi.org/10.1101/257337
https://doi.org/10.1101/257337
Publikováno v:
The Journal of neuroscience : the official journal of the Society for Neuroscience. 35(19)
For decades, neurophysiologists have worked on elucidating the function of the cortical sensorimotor control system from the standpoint of kinematics or dynamics. Recently, computational neuroscientists have developed models that can emulate changes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b17ebcaba21917660d2e182aba5f3b2d
https://pubmed.ncbi.nlm.nih.gov/25972167
https://pubmed.ncbi.nlm.nih.gov/25972167