Zobrazeno 1 - 10
of 69
pro vyhledávání: '"M. Ida Gobbini"'
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:
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
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
Publikováno v:
Frontiers in Neuroscience, Vol 12 (2018)
Externí odkaz:
https://doaj.org/article/b9e83db570ed48ef9cc78c9650de92fd
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
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
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://explore.openaire.eu/search/publication?articleId=doi_________::159aadaba80b1355741facfd236a618e
https://doi.org/10.1101/2022.11.21.517253
https://doi.org/10.1101/2022.11.21.517253
Autor:
Marvin R. Maechler, Vassiki S. Chauhan, Natalia A. McLaren, Samantha M. Norton, Jae S. Hong, M. Ida Gobbini
Here we investigated the role of racial attitudes in trait inferences from facial appearance. In two separate experiments we measured implicit racial attitudes using the race Implicit Association Test (IAT), as well as judgments of several traits aft
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3633f973c69182679cbddc55a46c0ac9
https://doi.org/10.21203/rs.3.rs-1432665/v1
https://doi.org/10.21203/rs.3.rs-1432665/v1
preprint of the paper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2ea2b118a0d12cc330de6648b55e215
https://doi.org/10.31219/osf.io/qpcng
https://doi.org/10.31219/osf.io/qpcng