Neurophysiology of shape processing

Perrett, D.I.; Oram, M.W.

doi:10.1016/0262-8856(93)90011-5

Cited by 213Visual perception and processing mechanismsFace Recognition and PerceptionAdvanced Image and Video Retrieval Techniques

Neurophysiology of shape processing

Perrett, D.I., Oram, M.W.·1993·Image and Vision Computing

DOI 10.1016/0262-8856(93)90011-5

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From V1 to IT, there is an increase in invariance to position and scale and, in parallel, an increase in the size of the receptive fields and in the complexity of the optimal stimuli for the neurons.
“From V1 to IT, there is an increase in invariance to position and scale (1, 2, 4-6) and in parallel, an increase in the size of the receptive fields (2, 4) as well as in the complexity of the optimal stimuli for the neurons (2, 3, 7).”
From A feedforward architecture accounts for rapid categorization (2007) · cites this paper as [2]

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Authors: Perrett, D. I., & Oram, M. W.
Affiliations: University of St Andrews (GB)
ORCID: Perrett, D.I.
Oram, M.W.
Venue: Image and Vision Computing
Publisher: Elsevier BV
Published: 1993-07
Volume: 11
Issue: 6
Pages: 317-333
ISSN: 0262-8856 (ISSN-L)
DOI: 10.1016/0262-8856(93)90011-5
OpenAlex: W2006208182
Cited by: 213
References: 82
Citations by year: 2024: 1 · 2023: 3 · 2022: 4 · 2021: 2 · 2020: 1 · 2019: 2 · 2018: 1 · 2017: 5 · 2016: 6 · 2015: 7 · 2014: 12 · 2013: 11 · 2012: 11
FWCI: 2.00
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Image and Vision Computing (publishedVersion)
Funders: Office of Naval Research
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Image and Video Retrieval Techniques
Keywords: shape processing, object recognition, Gestalt principles, good continuation, closure, V2, V3, inferior temporal cortex, shape primitives, size invariance, orientation invariance, viewpoint invariance, anterior temporal cortex, associative learning, perceptual invariance, hierarchical processing, parallel computing

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