Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Vishwa Goudar"'
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-14 (2018)
Humans can perform complex motor movements at varying speeds. Here, the authors show that a recurrent neural network can be trained to exhibit temporal scaling obeying Weber’s law as well as validate a prediction of the model of improved precision
Externí odkaz:
https://doaj.org/article/1735b53621ec48ce80e9bab83c18ff20
Autor:
Vishwa Goudar, Dean V Buonomano
Publikováno v:
eLife, Vol 7 (2018)
Much of the information the brain processes and stores is temporal in nature—a spoken word or a handwritten signature, for example, is defined by how it unfolds in time. However, it remains unclear how neural circuits encode complex time-varying pa
Externí odkaz:
https://doaj.org/article/8f9c4f3b6a194650a94bebb09619c995
Publikováno v:
Nature Neuroscience. 26:879-890
Learning-to-learn, a progressive speedup of learning while solving a series of similar problems, represents a core process of knowledge acquisition that draws attention in both neuroscience and artificial intelligence. To investigate its underlying b
Autor:
Vishwa Goudar, Jeong-Woo Kim, Yue Liu, Adam J. O. Dede, Michael J. Jutras, Ivan Skelin, Michael Ruvalcaba, William Chang, Adrienne L. Fairhall, Jack J. Lin, Robert T. Knight, Elizabeth A. Buffalo, Xiao-Jing Wang
Publikováno v:
bioRxiv
Inter-species comparisons are key to deriving an understanding of the behavioral and neural correlates of human cognition from animal models. We perform a detailed comparison of macaque monkey and human strategies on an analogue of the Wisconsin Card
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db733d017bbc96141847eba26b15fab1
https://europepmc.org/articles/PMC9882042/
https://europepmc.org/articles/PMC9882042/
Autor:
Justin L. Shobe, Leslie D. Claar, Dean V. Buonomano, Sotiris C. Masmanidis, Konstantin I. Bakhurin, Vishwa Goudar
Publikováno v:
The Journal of Neuroscience. 37:854-870
Telling time is fundamental to many forms of learning and behavior, including the anticipation of rewarding events. Although the neural mechanisms underlying timing remain unknown, computational models have proposed that the brain represents time in
Autor:
Vishwa Goudar, Dean V. Buonomano
Publikováno v:
Journal of Neurophysiology. 113:509-523
Determining the order of sensory events separated by a few hundred milliseconds is critical to many forms of sensory processing, including vocalization and speech discrimination. Although many experimental studies have recorded from auditory order-se
Autor:
Dean V. Buonomano, Vishwa Goudar
Publikováno v:
eLife
eLife, Vol 7 (2018)
eLife, Vol 7 (2018)
Much of the information the brain processes and stores is temporal in nature—a spoken word or a handwritten signature, for example, is defined by how it unfolds in time. However, it remains unclear how neural circuits encode complex time-varying pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6471832e62b87056c75fcb609f9506b0
https://doi.org/10.1101/176198
https://doi.org/10.1101/176198
Autor:
Vishwa Goudar, Miodrag Potkonjak
Publikováno v:
Proceedings of the IEEE. 102:1142-1156
A physical unclonable function (PUF) is an integrated circuit (IC) that serves as a hardware security primitive due to its complexity and the unpredictability between its outputs and the applied inputs. PUFs have received a great deal of research int
Publikováno v:
IEEE Sensors Journal. 14:2084-2091
We propose a novel harvesting technology to inconspicuously transduce mechanical energy from human foot-strikes and explore its configuration and control toward optimized energy output. Dielectric elastomers (DEs) are high-energy density, soft materi