How Does the Brain Solve Visual Object Recognition?

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 tempo...

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Main Authors: Zoccolan, Davide, Rust, Nicole C., DiCarlo, James
Other Authors: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Format: Article
Language:en_US
Published: Elsevier 2014
Online Access:http://hdl.handle.net/1721.1/92249
https://orcid.org/0000-0002-1592-5896
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author Zoccolan, Davide
Rust, Nicole C.
DiCarlo, James
author2 Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
author_facet Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Zoccolan, Davide
Rust, Nicole C.
DiCarlo, James
author_sort Zoccolan, Davide
collection MIT
description 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.
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spelling mit-1721.1/922492022-09-29T17:48:04Z How Does the Brain Solve Visual Object Recognition? Zoccolan, Davide Rust, Nicole C. DiCarlo, James Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences McGovern Institute for Brain Research at MIT DiCarlo, James 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. United States. Defense Advanced Research Projects Agency National Eye Institute (R01EY014970-01) National Science Foundation (U.S.) 2014-12-10T15:58:38Z 2014-12-10T15:58:38Z 2012-02 Article http://purl.org/eprint/type/JournalArticle 08966273 1097-4199 http://hdl.handle.net/1721.1/92249 DiCarlo, James J., Davide Zoccolan, and Nicole C. Rust. “How Does the Brain Solve Visual Object Recognition?” Neuron 73, no. 3 (February 2012): 415–434. © 2012 Elsevier Inc. https://orcid.org/0000-0002-1592-5896 en_US http://dx.doi.org/10.1016/j.neuron.2012.01.010 Neuron Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Elsevier Elsevier
spellingShingle Zoccolan, Davide
Rust, Nicole C.
DiCarlo, James
How Does the Brain Solve Visual Object Recognition?
title How Does the Brain Solve Visual Object Recognition?
title_full How Does the Brain Solve Visual Object Recognition?
title_fullStr How Does the Brain Solve Visual Object Recognition?
title_full_unstemmed How Does the Brain Solve Visual Object Recognition?
title_short How Does the Brain Solve Visual Object Recognition?
title_sort how does the brain solve visual object recognition
url http://hdl.handle.net/1721.1/92249
https://orcid.org/0000-0002-1592-5896
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