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Neuron. 2012 Feb 9;73(3):415-34. doi: 10.1016/j.neuron.2012.01.010.

How does the brain solve visual object recognition?

Author information

1
Department of Brain and Cognitive Sciences and McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. dicarlo@mit.edu

Abstract

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 poorly understood. Here we review evidence ranging from individual neurons and neuronal populations to behavior and 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 subnetworks with a common functional goal.

PMID:
22325196
PMCID:
PMC3306444
DOI:
10.1016/j.neuron.2012.01.010
[Indexed for MEDLINE]
Free PMC Article
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