S
Simon J. Thorpe
Researcher at Centre national de la recherche scientifique
Publications - 171
Citations - 19620
Simon J. Thorpe is an academic researcher from Centre national de la recherche scientifique. The author has contributed to research in topics: Visual processing & Artificial neural network. The author has an hindex of 58, co-authored 168 publications receiving 18076 citations. Previous affiliations of Simon J. Thorpe include University of Paris & University of Oxford.
Papers
More filters
Book ChapterDOI
Activity of Neurones in the Neostriatum and Related Structures in the Alert Animal
TL;DR: This chapter describes activity of neurons in the neostriatum and related structures in the alert animal and finds that the activity of some neurons is related to movements made by the monkey, although it is usually more difficult to demonstrate a strong relation between neuronal activity and a particular movement.
Journal ArticleDOI
Animal detection precedes access to scene category.
Sebastien Crouzet,Olivier R. Joubert,Simon J. Thorpe,Michèle Fabre-Thorpe,Michèle Fabre-Thorpe +4 more
TL;DR: It is shown that animal – but not vehicle – detection clearly precedes scene categorization, and the idea that rapid animal detection might be based on early access of global scene statistics is challenged, and rather suggests a process based on the extraction of specific local complex features that might be hardwired in the visual system.
Journal ArticleDOI
Auditory gist: recognition of very short sounds from timbre cues.
Clara Suied,Trevor R. Agus,Simon J. Thorpe,Simon J. Thorpe,Nima Mesgarani,Daniel Pressnitzer +5 more
TL;DR: Results show that timbre cues for sound recognition are available at a variety of time scales, including very short ones, and suggest that the cues used by listeners in the artificial gating task were similar to those relevant for longer, more familiar sounds.
Journal ArticleDOI
Limits of Event-related Potential Differences in Tracking Object Processing Speed
TL;DR: It is concluded that task-dependent ERP differences fail to capture object processing speed, at least for some categories like faces, despite very similar behavioral performances and short reaction times in both tasks.
Journal ArticleDOI
Animals roll around the clock: the rotation invariance of ultrarapid visual processing.
TL;DR: It is reported that human performance is surprisingly rotation invariant as reaction times were similar and accuracy remarkably stable across orientations, implying that this form of rapid object detection could not depend on the global distribution of orientations within the image.