Zobrazeno 1 - 10
of 111
pro vyhledávání: '"Jack L Gallant"'
Autor:
Claire S Oldfield, Irene Grossrubatscher, Mario Chávez, Adam Hoagland, Alex R Huth, Elizabeth C Carroll, Andrew Prendergast, Tony Qu, Jack L Gallant, Claire Wyart, Ehud Y Isacoff
Publikováno v:
eLife, Vol 9 (2020)
Experience influences behavior, but little is known about how experience is encoded in the brain, and how changes in neural activity are implemented at a network level to improve performance. Here we investigate how differences in experience impact b
Externí odkaz:
https://doaj.org/article/3c6089e219b143c79e1661a0962f74d7
Autor:
Samy A. Abdel-Ghaffar, Alexander G. Huth, Mark D. Lescroart, Dustin Stansbury, Jack L. Gallant, Sonia J. Bishop
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-17 (2024)
Abstract In everyday life, people need to respond appropriately to many types of emotional stimuli. Here, we investigate whether human occipital-temporal cortex (OTC) shows co-representation of the semantic category and affective content of visual st
Externí odkaz:
https://doaj.org/article/0f6bd41ef93047ddb9a729077ab5ca21
Autor:
Natalia Y Bilenko, Jack L Gallant
Publikováno v:
Frontiers in Neuroinformatics, Vol 10 (2016)
In this article we introduce Pyrcca, an open-source Python package for performing canonical correlation analysis (CCA). CCA is a multivariate analysis method for identifying relationships between sets of variables. Pyrcca supports CCA with or without
Externí odkaz:
https://doaj.org/article/38dd3071f02e4349abcffca3083810b8
Publikováno v:
Frontiers in Computational Neuroscience, Vol 9 (2015)
Perception of natural visual scenes activates several functional areas in the human brain, including the Parahippocampal Place Area (PPA), Retrosplenial Complex (RSC), and the Occipital Place Area (OPA). It is currently unclear what specific scene-re
Externí odkaz:
https://doaj.org/article/2698a224fd6c40dc8da64c749b5528b4
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-13 (2024)
Abstract Language comprehension involves integrating low-level sensory inputs into a hierarchy of increasingly high-level features. Prior work studied brain representations of different levels of the language hierarchy, but has not determined whether
Externí odkaz:
https://doaj.org/article/b5e7aa6527134ca38a3a5dbb15fa1601
Autor:
Xue L. Gong, Alexander G. Huth, Fatma Deniz, Keith Johnson, Jack L. Gallant, Frédéric E. Theunissen
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-17 (2023)
Abstract Speech processing requires extracting meaning from acoustic patterns using a set of intermediate representations based on a dynamic segmentation of the speech stream. Using whole brain mapping obtained in fMRI, we investigate the locus of co
Externí odkaz:
https://doaj.org/article/f35e8240b42a4f049b860f1b84031879
Autor:
Xue L. Gong, Alexander G. Huth, Fatma Deniz, Keith Johnson, Jack L. Gallant, Frédéric E. Theunissen
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-1 (2023)
Externí odkaz:
https://doaj.org/article/9dd58341990c4eba84c763a1c139839b
Publikováno v:
NeuroImage, Vol 264, Iss , Pp 119728- (2022)
Encoding models provide a powerful framework to identify the information represented in brain recordings. In this framework, a stimulus representation is expressed within a feature space and is used in a regularized linear regression to predict brain
Externí odkaz:
https://doaj.org/article/796858c858a7430eb0548431722c389b
Publikováno v:
Frontiers in Neuroscience, Vol 14 (2021)
Complex natural tasks likely recruit many different functional brain networks, but it is difficult to predict how such tasks will be represented across cortical areas and networks. Previous electrophysiology studies suggest that task variables are re
Externí odkaz:
https://doaj.org/article/91e5e2eff0b94e62a15fca74fca65fb0
Autor:
Natalia Y. Bilenko, Sara F Popham, Fatma Deniz, Alexander G. Huth, James S. Gao, Anwar O. Nunez-Elizalde, Jack L. Gallant
Publikováno v:
Nature Neuroscience. 24:1628-1636
Semantic information in the human brain is organized into multiple networks, but the fine-grain relationships between them are poorly understood. In this study, we compared semantic maps obtained from two functional magnetic resonance imaging experim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cbafda70a5d257b158d96de06b0af60f
https://doi.org/10.1038/s41593-021-00921-6
https://doi.org/10.1038/s41593-021-00921-6