Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Matteo Visconti di Oleggio Castello"'
Publikováno v:
Brain Sciences, Vol 13, Iss 3, p 509 (2023)
Personal familiarity facilitates rapid and optimized detection of faces. In this study, we investigated whether familiarity associated with faces can also facilitate the detection of facial expressions. Models of face processing propose that face ide
Externí odkaz:
https://doaj.org/article/f7fefc567bdb41acb12928702651a869
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
Autor:
R. Cameron Craddock, Pierre Bellec, Daniel S. Margules, B. Nolan Nichols, Jörg P. Pfannmöller, AmanPreet Badhwar, David Kennedy, Jean-Baptiste Poline, Roberto Toro, Ben Cipollini, Ariel Rokem, Daniel Clark, Krzysztof J. Gorgolewski, Daniel J. Clark, Samir Das, Cécile Madjar, Ayan Sengupta, Zia Mohades, Sebastien Dery, Weiran Deng, Eric Earl, Damion V. Demeter, Kate Mills, Glad Mihai, Luka Ruzic, Nick Ketz, Andrew Reineberg, Marianne C. Reddan, Anne-Lise Goddings, Javier Gonzalez-Castillo, Caroline Froehlich, Gil Dekel, Daniel S. Margulies, Ben D. Fulcher, Tristan Glatard, Reza Adalat, Natacha Beck, Rémi Bernard, Najmeh Khalili-Mahani, Pierre Rioux, Marc-Étienne Rousseau, Alan C. Evans, Yaroslav O. Halchenko, Matteo Visconti di Oleggio Castello, Raúl Hernández-Pérez, Edgar A. Morales, Laura V. Cuaya, Kaori L. Ito, Sook-Lei Liew, Hans J. Johnson, Erik Kan, Julia Anglin, Michael Borich, Neda Jahanshad, Paul Thompson, Marcel Falkiewicz, Julia M. Huntenburg, David O’Connor, Michael P. Milham, Ramon Fraga Pereira, Anibal Sólon Heinsfeld, Alexandre Rosa Franco, Augusto Buchweitz, Felipe Meneguzzi, Rickson Mesquita, Luis C. T. Herrera, Daniela Dentico, Vanessa Sochat, Julio E. Villalon-Reina, Eleftherios Garyfallidis
Publikováno v:
GigaScience, Vol 5, Iss S1, Pp 1-26 (2016)
Table of contents I1 Introduction to the 2015 Brainhack Proceedings R. Cameron Craddock, Pierre Bellec, Daniel S. Margules, B. Nolan Nichols, Jörg P. Pfannmöller A1 Distributed collaboration: the case for the enhancement of Brainspell’s interface
Externí odkaz:
https://doaj.org/article/72f1d83053974f45aa8fab9b3bb0c489
Publikováno v:
Frontiers in Psychology, Vol 8 (2017)
Eye gaze is a powerful cue that indicates where another person’s attention is directed in the environment. Seeing another person’s eye gaze shift spontaneously and reflexively elicits a shift of one’s own attention to the same region in space.
Externí odkaz:
https://doaj.org/article/e5ac775bbf51430fa7589cd4f63e8287
Publikováno v:
PLoS ONE, Vol 12, Iss 6, p e0179458 (2017)
Facial identity and facial expression processing both appear to follow a protracted developmental trajectory, yet these trajectories have been studied independently and have not been directly compared. Here we investigated whether these processes dev
Externí odkaz:
https://doaj.org/article/e844894038a4423da60d49da9c5c4d7c
Publikováno v:
PLoS ONE, Vol 12, Iss 6, p e0178895 (2017)
Recognition of personally familiar faces is remarkably efficient, effortless and robust. We asked if feature-based face processing facilitates detection of familiar faces by testing the effect of face inversion on a visual search task for familiar an
Externí odkaz:
https://doaj.org/article/9039d3642779432e9dd98454474a0891
Publikováno v:
PLoS ONE, Vol 10, Iss 8, p e0136548 (2015)
The visual system is tuned for rapid detection of faces, with the fastest choice saccade to a face at 100 ms. Familiar faces have a more robust representation than do unfamiliar faces, and are detected faster in the absence of awareness and with redu
Externí odkaz:
https://doaj.org/article/75eec072623d4929a0ef3a8cab067205
Publikováno v:
2022 Conference on Cognitive Computational Neuroscience.
Autor:
Matteo Visconti di Oleggio Castello, Ma Feilong, Samuel A. Nastase, Guo Jiahui, Maria Ida Gobbini, James V. Haxby
Deep convolutional neural networks (DCNNs) trained for face identification can rival and even exceed human-level performance. The relationships between internal representations learned by DCNNs and those of the primate face processing system are not
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::045205b36ee367e827f1c9c31b63a92e
https://doi.org/10.1101/2021.11.17.469009
https://doi.org/10.1101/2021.11.17.469009