The perception of multiple objects: a connectionist approach
The perception of multiple objects: a connectionist approach
Image and brain: the resolution of the imagery debate
Image and brain: the resolution of the imagery debate
Electrophysiological studies of face perception in humans
Journal of Cognitive Neuroscience
Ultra-Rapid Scene Categorization with a Wave of Spikes
BMCV '02 Proceedings of the Second International Workshop on Biologically Motivated Computer Vision
Electrophysiological Correlates of Age and Gender Perception on Human Faces
Journal of Cognitive Neuroscience
The Time Course of Visual Processing: From Early Perception to Decision-Making
Journal of Cognitive Neuroscience
On the computational rationale for generative models
Computer Vision and Image Understanding
Journal of Cognitive Neuroscience
Limits of Event-related Potential Differences in Tracking Object Processing Speed
Journal of Cognitive Neuroscience
Brainwave-Based Imagery Analysis
Digital Human Modeling
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Perceptually-Informed Virtual Environment (PerceiVE) Design Tool
FAC '09 Proceedings of the 5th International Conference on Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience: Held as Part of HCI International 2009
Two phases of v1 activity for visual recognition of natural images
Journal of Cognitive Neuroscience
Construction and validation of a neurophysio-technological framework for imagery analysis
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: interaction platforms and techniques
Scene gist: a holistic generative model of natural image
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part II
Journal of Cognitive Neuroscience
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The processing required to decide whether a briefly flashed natural scene contains an animal can be achieved in 150 msec (Thorpe, Fize, & Marlot, 1996). Here we report that extensive training with a subset of photographs over a 3-week period failed to increase the speed of the processing underlying such Rapid Visual Categorizations: Completely novel scenes could be categorized just as fast as highly familiar ones. Such data imply that the visual system processes new stimuli at a speed and with a number of stages that cannot be compressed. This rapid processing mode was seen with a wide range of visual complex images, challenging the idea that short reaction times can only be seen with simple visual stimuli and implying that highly automatic feed-forward mechanisms underlie a far greater proportion of the sophisticated image analysis needed for everyday vision than is generally assumed.