Nuo Li , Invariant Object Representation in Visual Cortex Unsupervised Natural Experience Rapidly
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منابع مشابه
Unsupervised natural experience rapidly alters invariant object representation in visual cortex.
Object recognition is challenging because each object produces myriad retinal images. Responses of neurons from the inferior temporal cortex (IT) are selective to different objects, yet tolerant ("invariant") to changes in object position, scale, and pose. How does the brain construct this neuronal tolerance? We report a form of neuronal learning that suggests the underlying solution. Targeted ...
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متن کاملNuo Li , Invariant Object Representation in Visual Cortex Unsupervised Natural Experience Rapidly Alters
www.sciencemag.org (this information is current as of September 24, 2008 ): The following resources related to this article are available online at http://www.sciencemag.org/cgi/content/full/321/5895/1502 version of this article at: including high-resolution figures, can be found in the online Updated information and services, http://www.sciencemag.org/cgi/content/full/321/5895/1502/DC1 can be ...
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Neurons at the top of primate ventral visual stream [inferior temporal cortex (IT)] have selectivity for objects that is highly tolerant to variation in the object's appearance on the retina. Previous nonhuman primate (Macaca mulatta) studies suggest that this neuronal tolerance is at least partly supported by the natural temporal contiguity of visual experience, because altering that temporal ...
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The present phase of Machine Learning is characterized by supervised learning algorithms relying on large sets of labeled examples (n→∞). The next phase is likely to focus on algorithms capable of learning from very few labeled examples (n → 1), like humans seem able to do. We propose an approach to this problem and describe the underlying theory, based on the unsupervised, automatic learning o...
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