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Visual object recognition refers to the ability to identify the objects in view based on visual input. One important signature of visual object recognition is "object invariance", or the ability to identify objects across changes in the detailed context in which objects are viewed, including changes in illumination, object pose, and background context.
Watch the "yelling" from the feature demons. Each cognitive demon is responsible for a specific pattern (e.g., a letter in the alphabet). The "yelling" of the cognitive demons is based on how much of their pattern was detected by the feature demons. The more features the cognitive demons find that correspond to their pattern, the louder they ...
The visual cortex of the brain is the area of the cerebral cortex that processes visual information.It is located in the occipital lobe.Sensory input originating from the eyes travels through the lateral geniculate nucleus in the thalamus and then reaches the visual cortex.
This region of the brain corresponds to the inferior temporal cortex and is responsible for visual object recognition and receives processed visual information. The inferior temporal cortex in primates has specific regions dedicated to processing different visual stimuli processed and organized by the different layers of the striate cortex and ...
Visual agnosia is an impairment in recognition of visually presented objects. It is not due to a deficit in vision (acuity, visual field, and scanning), language, memory, or intellect. [ 1 ] While cortical blindness results from lesions to primary visual cortex, visual agnosia is often due to damage to more anterior cortex such as the posterior ...
Studies of patients with brain damage have revealed pure agnosic disorders that selectively impair recognition of specific object categories. Such agnosic disorders have been reported for faces ( prosopagnosia ), living vs. nonliving stimuli, fruits, vegetables, tools, and musical instruments among others, suggesting that such categories may be ...
Feature detectors were also observed in these brain regions. Neurons were observed to be either directionally-sensitive to looming large objects, size-selective or perceptive to stationary obstacles. Certain pretectal thalamic neurons, type TH3, showed a preference for big moving objects and the anti-worm configuration of moving bar stimuli. [17]
In order to build a model of neural spike data, one must both understand how information is originally stored in the brain and how this information is used at a later point in time. This neural coding and decoding loop is a symbiotic relationship and the crux of the brain's learning algorithm. Furthermore, the processes that underlie neural ...