Zobrazeno 1 - 10
of 259
pro vyhledávání: '"Philippe G. Schyns"'
Different computations over the same inputs produce selective behavior in algorithmic brain networks
Publikováno v:
eLife, Vol 11 (2022)
A key challenge in neuroimaging remains to understand where, when, and now particularly how human brain networks compute over sensory inputs to achieve behavior. To study such dynamic algorithms from mass neural signals, we recorded the magnetoenceph
Externí odkaz:
https://doaj.org/article/174457fcbad34ff5a4621f049f22ed78
Publikováno v:
eLife, Vol 10 (2021)
Within neuroscience, psychology, and neuroimaging, the most frequently used statistical approach is null hypothesis significance testing (NHST) of the population mean. An alternative approach is to perform NHST within individual participants and then
Externí odkaz:
https://doaj.org/article/56f9a507c79743bfae8f9f1f19f7305b
Publikováno v:
Trends in Cognitive Sciences. 26:1090-1102
Deep neural networks (DNNs) have become powerful and increasingly ubiquitous tools to model human cognition, and often produce similar behaviors. For example, with their hierarchical, brain-inspired organization of computations, DNNs apparently categ
Autor:
Desislava H, Arabadzhiyska, Oliver G B, Garrod, Elsa, Fouragnan, Emanuele, De Luca, Philippe G, Schyns, Marios G, Philiastides
Publikováno v:
Journal of Neuroscience
To date, social and nonsocial decisions have been studied largely in isolation. Consequently, the extent to which social and nonsocial forms of decision uncertainty are integrated using shared neurocomputational resources remains elusive. Here, we ad
Theories of prediction-for-perception propose that the brain predicts the information contents of upcoming stimuli to facilitate their perceptual categorization. A mechanistic understanding should therefore address where, when, and how the brain pred
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57f3317ceb1fa9b70594ea338c42db5e
https://doi.org/10.1101/2023.05.05.539587
https://doi.org/10.1101/2023.05.05.539587
Autor:
Lukas Snoek, Rachael E. Jack, Philippe G. Schyns, Oliver G. B. Garrod, Maximilian Mittenbühler, Chaona Chen, Suzanne Oosterwijk, H. Steven Scholte
Publikováno v:
Science Advances, 9(6):abq8421. American Association for the Advancement of Science
Models are the hallmark of mature scientific inquiry. In psychology, this maturity has been reached in a pervasive question—what models best represent facial expressions of emotion? Several hypotheses propose different combinations of facial moveme
Publikováno v:
2023 IEEE 17th International Conference on Automatic Face and Gesture Recognition (FG).
Publikováno v:
PLoS Biology, Vol 16, Iss 8, p e2006558 (2018)
Integration of multimodal sensory information is fundamental to many aspects of human behavior, but the neural mechanisms underlying these processes remain mysterious. For example, during face-to-face communication, we know that the brain integrates
Externí odkaz:
https://doaj.org/article/250ae0008bc04fd198b55e96cc00c363
Publikováno v:
Trends in Cognitive Sciences. 27:216-217
Contributions of local speech encoding and functional connectivity to audio-visual speech perception
Autor:
Bruno L Giordano, Robin A A Ince, Joachim Gross, Philippe G Schyns, Stefano Panzeri, Christoph Kayser
Publikováno v:
eLife, Vol 6 (2017)
Seeing a speaker’s face enhances speech intelligibility in adverse environments. We investigated the underlying network mechanisms by quantifying local speech representations and directed connectivity in MEG data obtained while human participants l
Externí odkaz:
https://doaj.org/article/40d70258c3354690aa50cee1586c8aa3