Literature DB >> 9247963

Invariant face and object recognition in the visual system.

G Wallis1, E T Rolls.   

Abstract

Neurophysiological evidence is described, showing that some neurons in the macaque temporal cortical visual areas have responses that are invariant with respect to the position, size and view of faces and objects, and that these neurons show rapid processing and rapid learning. A theory is then described of how such invariant representations may be produced in a hierarchically organized set of visual cortical areas with convergent connectivity. The theory proposes that neurons in these visual areas use a modified Hebb synaptic modification rule with a short-term memory trace to capture whatever can be captured at each stage that is invariant about objects as the object changes in retinal position, size, rotation and view. Simulations are then described which explore the operation of the architecture. The simulations show that such a processing system can build invariant representations of objects.

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Year:  1997        PMID: 9247963     DOI: 10.1016/s0301-0082(96)00054-8

Source DB:  PubMed          Journal:  Prog Neurobiol        ISSN: 0301-0082            Impact factor:   11.685


  103 in total

1.  Image features selected by neurons of the cat primary visual cortex.

Authors:  I A Shevelev
Journal:  Neurosci Behav Physiol       Date:  2000 Sep-Oct

Review 2.  The temporal resolution of neural codes: does response latency have a unique role?

Authors:  M W Oram; D Xiao; B Dritschel; K R Payne
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2002-08-29       Impact factor: 6.237

3.  Invariant Visual Object and Face Recognition: Neural and Computational Bases, and a Model, VisNet.

Authors:  Edmund T Rolls
Journal:  Front Comput Neurosci       Date:  2012-06-19       Impact factor: 2.380

4.  High-level visual object representations are constrained by position.

Authors:  Dwight J Kravitz; Nikolaus Kriegeskorte; Chris I Baker
Journal:  Cereb Cortex       Date:  2010-03-29       Impact factor: 5.357

5.  Continuous transformation learning of translation invariant representations.

Authors:  G Perry; E T Rolls; S M Stringer
Journal:  Exp Brain Res       Date:  2010-06-11       Impact factor: 1.972

6.  Multimap formation in visual cortex.

Authors:  Rishabh Jain; Rachel Millin; Bartlett W Mel
Journal:  J Vis       Date:  2015       Impact factor: 2.240

7.  Receptive field properties of the macaque second somatosensory cortex: nonlinear mechanisms underlying the representation of orientation within a finger pad.

Authors:  Pramodsingh H Thakur; Paul J Fitzgerald; John W Lane; Steven S Hsiao
Journal:  J Neurosci       Date:  2006-12-27       Impact factor: 6.167

Review 8.  The role of the feedforward paradigm in cognitive psychology.

Authors:  Demis Basso; Marta Olivetti Belardinelli
Journal:  Cogn Process       Date:  2006-04-28

9.  Neuroimaging evidence for object model verification theory: Role of prefrontal control in visual object categorization.

Authors:  Giorgio Ganis; Haline E Schendan; Stephen M Kosslyn
Journal:  Neuroimage       Date:  2006-10-27       Impact factor: 6.556

10.  A feedforward architecture accounts for rapid categorization.

Authors:  Thomas Serre; Aude Oliva; Tomaso Poggio
Journal:  Proc Natl Acad Sci U S A       Date:  2007-04-02       Impact factor: 11.205

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