Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations
Inferior Temporal Neurons Show Greater Sensitivity to Nonaccidental than to Metric Shape Differences
Journal of Cognitive Neuroscience
The Time Course of Visual Processing: From Early Perception to Decision-Making
Journal of Cognitive Neuroscience
Tickling Expectations: Neural Processing in Anticipation of a Sensory Stimulus
Journal of Cognitive Neuroscience
Journal of Cognitive Neuroscience
Global precedence, spatial frequency channels, and the statistics of natural images
Journal of Cognitive Neuroscience
Top-down Enhancement and Suppression of the Magnitude and Speed of Neural Activity
Journal of Cognitive Neuroscience
Using natural class hierarchies in multi-class visual classification
Pattern Recognition
Induced Gamma Band Responses Predict Recognition Delays during Object Identification
Journal of Cognitive Neuroscience
Seeing sounds and hearing sights: The influence of prior learning on current perception
Journal of Cognitive Neuroscience
Dissociating early and late error signals in perceptual recognition
Journal of Cognitive Neuroscience
Journal of Cognitive Neuroscience
Variable-Source Shading Analysis
International Journal of Computer Vision
The evolution of meaning: Spatio-temporal dynamics of visual object recognition
Journal of Cognitive Neuroscience
Rapid and highly resolving: Affective evaluation of olfactorily conditioned faces
Journal of Cognitive Neuroscience
Face recognition by cortical multi-scale line and edge representations
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part II
The rapid extraction of gist-early neural correlates of high-level visual processing
Journal of Cognitive Neuroscience
Optic flow integration at multiple spatial frequencies – neural mechanism and algorithm
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
Recognition of facial expressions by cortical multi-scale line and edge coding
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part I
An abstract deep network for image classification
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
Journal of Cognitive Neuroscience
A critical review of selective attention: an interdisciplinary perspective
Artificial Intelligence Review
Journal of Cognitive Neuroscience
Journal of Cognitive Neuroscience
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The majority of the research related to visual recognition has so far focused on bottom-up analysis, where the input is processed in a cascade of cortical regions that analyze increasingly complex information. Gradually more studies emphasize the role of top-down facilitation in cortical analysis, but it remains something of a mystery how such processing would be initiated. After all, top-down facilitation implies that high-level information is activated earlier than some relevant lower-level information. Building on previous studies, I propose a specific mechanism for the activation of top-down facilitation during visual object recognition. The gist of this hypothesis is that a partially analyzed version of the input image (i.e., a blurred image) is projected rapidly from early visual areas directly to the prefrontal cortex (PFC). This coarse representation activates in the PFC expectations about the most likely interpretations of the input image, which are then back-projected as an "initial guess" to the temporal cortex to be integrated with the bottom-up analysis. The top-down process facilitates recognition by substantially limiting the number of object representations that need to be considered. Furthermore, such a rapid mechanism may provide critical information when a quick response is necessary.