How does the brain solve visual object recognition?
How does the brain solve visual object recognition?
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DOI:
10.1016/j.neuron.2012.01.010
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发表时间:
2012-02-09
期刊:
影响因子:
16.2
通讯作者:
Rust NC
中科院分区:
文献类型:
--
作者:
DiCarlo JJ;Zoccolan D;Rust NC
Mounting evidence suggests that “core object recognition,” the ability to rapidly recognize objects despite substantial appearance variation, is solved in the brain via a cascade of reflexive, largely feedforward computations that culminate in a powerful neuronal representation in the inferior temporal cortex. However, the algorithm that produces this solution remains little-understood. Here we review evidence ranging from individual neurons, to neuronal populations, to behavior, to computational models. We propose that understanding this algorithm will require using neuronal and psychophysical data to sift through many computational models, each based on building blocks of small, canonical sub-networks with a common functional goal.
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影响因子:
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作者:
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DOI:
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