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How Does the Brain Solve Visual Object Recognition?

DiCarlo JJ
•
Zoccolan, Davide Franco
•
Rust NC
2012
  • journal article

Periodico
NEURON
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.
DOI
10.1016/j.neuron.2012.01.010
WOS
WOS:000300140600005
Archivio
http://hdl.handle.net/20.500.11767/13025
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84856743552
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3306444/
Diritti
closed access
Scopus© citazioni
824
La settimana scorsa
1
Data di acquisizione
Jun 14, 2022
Vedi dettagli
Web of Science© citazioni
962
Data di acquisizione
Mar 3, 2024
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