Zobrazeno 1 - 10
of 259
pro vyhledávání: '"James V, Haxby"'
Publikováno v:
eLife, Vol 12 (2023)
Participant-specific, functionally defined brain areas are usually mapped with functional localizers and estimated by making contrasts between responses to single categories of input. Naturalistic stimuli engage multiple brain systems in parallel, pr
Externí odkaz:
https://doaj.org/article/5f2f6d4c2c0c46bd9d4db85062b7691a
Autor:
Erica L. Busch, Lukas Slipski, Ma Feilong, J. Swaroop Guntupalli, Matteo Visconti di Oleggio Castello, Jeremy F. Huckins, Samuel A. Nastase, M. Ida Gobbini, Tor D. Wager, James V. Haxby
Publikováno v:
NeuroImage, Vol 233, Iss , Pp 117975- (2021)
Shared information content is represented across brains in idiosyncratic functional topographies. Hyperalignment addresses these idiosyncrasies by using neural responses to project individuals’ brain data into a common model space while maintaining
Externí odkaz:
https://doaj.org/article/6f73d7fea6d848c6aae1aa2af6267eb5
Autor:
Joshua S. Cetron, Andrew C. Connolly, Solomon G. Diamond, Vicki V. May, James V. Haxby, David J. M. Kraemer
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-10 (2019)
People differ in their current levels of understanding of many complex concepts. Here, the authors show using fMRI that brain activity during a task that requires concept knowledge can be used to compute a ‘neural score’ of the participant’s un
Externí odkaz:
https://doaj.org/article/85f73e6e666a4c119ed29fda19c2b1ea
Publikováno v:
eLife, Vol 10 (2021)
Intelligent thought is the product of efficient neural information processing, which is embedded in fine-grained, topographically organized population responses and supported by fine-grained patterns of connectivity among cortical fields. Previous wo
Externí odkaz:
https://doaj.org/article/e33ac9634f42475aa0e0619eab2ebdbe
Autor:
Guo Jiahui, Ma Feilong, Matteo Visconti di Oleggio Castello, J. Swaroop Guntupalli, Vassiki Chauhan, James V. Haxby, M. Ida Gobbini
Publikováno v:
NeuroImage, Vol 216, Iss , Pp 116458- (2020)
Subject-specific, functionally defined areas are conventionally estimated with functional localizers and a simple contrast analysis between responses to different stimulus categories. Compared with functional localizers, naturalistic stimuli provide
Externí odkaz:
https://doaj.org/article/1e9537fb3140460e9dcb61a6d617c553
Publikováno v:
NeuroImage, Vol 216, Iss , Pp 116561- (2020)
Naturalistic, dynamic movies evoke strong, consistent, and information-rich patterns of activity over a broad expanse of cortex and engage multiple perceptual and cognitive systems in parallel. The use of naturalistic stimuli enables functional brain
Externí odkaz:
https://doaj.org/article/cbbba6adab214afeb2752af85eca3d92
Publikováno v:
eLife, Vol 9 (2020)
Information that is shared across brains is encoded in idiosyncratic fine-scale functional topographies. Hyperalignment captures shared information by projecting pattern vectors for neural responses and connectivities into a common, high-dimensional
Externí odkaz:
https://doaj.org/article/4ab5c7dcfe20479c8f4d0ac5d4ae2bb6
Autor:
Jeremy F. Huckins, Alex W. daSilva, Rui Wang, Weichen Wang, Elin L. Hedlund, Eilis I. Murphy, Richard B. Lopez, Courtney Rogers, Paul E. Holtzheimer, William M. Kelley, Todd F. Heatherton, Dylan D. Wagner, James V. Haxby, Andrew T. Campbell
Publikováno v:
Frontiers in Neuroscience, Vol 13 (2019)
As smartphone usage has become increasingly prevalent in our society, so have rates of depression, particularly among young adults. Individual differences in smartphone usage patterns have been shown to reflect individual differences in underlying af
Externí odkaz:
https://doaj.org/article/ed6fd931d18d4b17aef736940ac52c39
Neuroimaging data analysis relies on normalization to standard anatomical templates to resolve macroanatomical differences across brains. Existing human cortical surface templates sample locations unevenly because of distortions introduced by inflati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ba5235697a14d24e8fecb3357f41bef
https://doi.org/10.1101/2023.03.21.533686
https://doi.org/10.1101/2023.03.21.533686
Autor:
Cara E. Van Uden, Samuel A. Nastase, Andrew C. Connolly, Ma Feilong, Isabella Hansen, M. Ida Gobbini, James V. Haxby
Publikováno v:
Frontiers in Neuroscience, Vol 12 (2018)
Encoding models for mapping voxelwise semantic tuning are typically estimated separately for each individual, limiting their generalizability. In the current report, we develop a method for estimating semantic encoding models that generalize across i
Externí odkaz:
https://doaj.org/article/2baddebcb3564055a1f414a0ee584e28