Several studies suggest different functional roles for the medial and the lateral sections of the ventral visual cortex in object recognition. Texture and surface information is processed in medial sections, while shape information is processed in lateral sections. This begs the question whether and how these functionally specialized sections interact with each other and with early visual cortex to facilitate object recognition. In the current research, we set out to answer this question. In an fMRI study, 13 subjects viewed and recognized images of objects and animals that were gradually revealed from noise while their brains were being scanned. We applied dynamic causal modeling (DCM)— a method to characterize network interactions—to dete...
Mounting evidence suggests that 'core object recognition,' the ability to rapidly recognize objects ...
Objects in the real world are encountered in contexts where they interact together. Though it is kno...
Multi-voxel pattern analysis techniques allow us to infer what the brain encodes from neuroimaging s...
Several studies suggest different functional roles for the medial and the lateral sections of the ve...
Visual object recognition is the principal mechanism by which humans and many animals interpret thei...
This dissertation describes recent theoretical and experimental efforts to understand the areas of t...
Ventral occipito-temporal cortex is known to play a major role in visual object recognition. Still u...
2011-10-31Human vision is extraordinary in the speed and facility at which complex novel scenes can ...
The functional architecture of the object vision pathway in the human brain was investigated using f...
Functional magnetic resonance imaging (fMRI) studies have identified category-selective regions in v...
We present a biologically plausible model of an attentional mechanism for forming position- and scal...
The lateral occipital cortex (LOC), a visual area known to be involved in object recognition, was dy...
The brain decomposes visual information into its form and motion components and processes the two as...
Viewing the world, we are confronted with multiple visual objects, each of which might be composed o...
The perception of faces involves a large network of cortical areas of the human brain. While several...
Mounting evidence suggests that 'core object recognition,' the ability to rapidly recognize objects ...
Objects in the real world are encountered in contexts where they interact together. Though it is kno...
Multi-voxel pattern analysis techniques allow us to infer what the brain encodes from neuroimaging s...
Several studies suggest different functional roles for the medial and the lateral sections of the ve...
Visual object recognition is the principal mechanism by which humans and many animals interpret thei...
This dissertation describes recent theoretical and experimental efforts to understand the areas of t...
Ventral occipito-temporal cortex is known to play a major role in visual object recognition. Still u...
2011-10-31Human vision is extraordinary in the speed and facility at which complex novel scenes can ...
The functional architecture of the object vision pathway in the human brain was investigated using f...
Functional magnetic resonance imaging (fMRI) studies have identified category-selective regions in v...
We present a biologically plausible model of an attentional mechanism for forming position- and scal...
The lateral occipital cortex (LOC), a visual area known to be involved in object recognition, was dy...
The brain decomposes visual information into its form and motion components and processes the two as...
Viewing the world, we are confronted with multiple visual objects, each of which might be composed o...
The perception of faces involves a large network of cortical areas of the human brain. While several...
Mounting evidence suggests that 'core object recognition,' the ability to rapidly recognize objects ...
Objects in the real world are encountered in contexts where they interact together. Though it is kno...
Multi-voxel pattern analysis techniques allow us to infer what the brain encodes from neuroimaging s...