D
Denis Fize
Researcher at University of Toulouse
Publications - 17
Citations - 4818
Denis Fize is an academic researcher from University of Toulouse. The author has contributed to research in topics: Categorization & Visual processing. The author has an hindex of 10, co-authored 17 publications receiving 4473 citations. Previous affiliations of Denis Fize include Paul Sabatier University & Centre national de la recherche scientifique.
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Journal ArticleDOI
Speed of processing in the human visual system.
TL;DR: The visual processing needed to perform this highly demanding task can be achieved in under 150 ms, and ERP analysis revealed a frontal negativity specific to no-go trials that develops roughly 150 ms after stimulus onset.
Journal ArticleDOI
Speed of processing in the human visual system
TL;DR: In this paper, the authors used a go/no-go categorization task in which subjects have to decide whether a previously unseen photograph, flashed on for just 20 ms, contains an animal.
Journal ArticleDOI
Processing scene context: fast categorization and object interference.
Olivier R. Joubert,Guillaume A. Rousselet,Denis Fize,Denis Fize,Michèle Fabre-Thorpe,Michèle Fabre-Thorpe +5 more
TL;DR: A go/no-go rapid visual categorization task showed that the efficiency of contextual categorization was impaired by the presence of a salient object in the scene especially when the object was incongruent with the context, and suggested early interactions between scene and object representations compatible with contextual influences on object categorization in a parallel network.
Journal ArticleDOI
Early interference of context congruence on object processing in rapid visual categorization of natural scenes.
TL;DR: Object and context must be processed in parallel with continuous interactions possibly through feed-forward co-activation of populations of visual neurons selective to diagnostic features, whereas interference would take place when conflictual populations of neurons fire simultaneously.
Journal ArticleDOI
Rapid visual categorization of natural scene contexts with equalized amplitude spectrum and increasing phase noise.
Olivier R. Joubert,Olivier R. Joubert,Guillaume A. Rousselet,Michèle Fabre-Thorpe,Michèle Fabre-Thorpe,Denis Fize,Denis Fize +6 more
TL;DR: Results suggest that the visual system might use amplitude spectrum characteristics of the scenes to speed up context categorization processes.