Cited by 908Visual perception and processing mechanismsVisual Attention and Saliency DetectionNeural dynamics and brain function

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A neurobiological model of visual attention and invariant pattern recognition based on dynamic routing of information

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Olshausen, BA, Anderson, CH, Van Essen, DC·1993·The Journal of Neuroscience

DOI 10.1523/jneurosci.13-11-04700.1993PMC PMC6576339

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Abstract

We present a biologically plausible model of an attentional mechanism for forming position- and scale-invariant representations of objects in the visual world. The model relies on a set of control neurons to dynamically modify the synaptic strengths of intracortical connections so that information from a windowed region of primary visual cortex (V1) is selectively routed to higher cortical areas. Local spatial relationships (i.e., topography) within the attentional window are preserved as information is routed through the cortex. This enables attended objects to be represented in higher cortical areas within an object-centered reference frame that is position and scale invariant. We hypothesize that the pulvinar may provide the control signals for routing information through the cortex. The dynamics of the control neurons are governed by simple differential equations that could be realized by neurobiologically plausible circuits. In preattentive mode, the control neurons receive their input from a low-level "saliency map" representing potentially interesting regions of a scene. During the pattern recognition phase, control neurons are driven by the interaction between top-down (memory) and bottom-up (retinal input) sources. The model respects key neurophysiological, neuroanatomical, and psychophysical data relating to attention, and it makes a variety of experimentally testable predictions.

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Authors: Olshausen, B., Anderson, C., & Van Essen, D.
Affiliations: California Institute of Technology (US)
Venue: The Journal of Neuroscience
Publisher: Society for Neuroscience
Published: 1993-11-01
Volume: 13
Issue: 11
Pages: 4700-4719
ISSN: 0270-6474 (ISSN-L)
1529-2401
DOI: 10.1523/jneurosci.13-11-04700.1993
PMC: PMC6576339
OpenAlex: W2115441154
Cited by: 908
References: 86
Citations by year: 2026: 5 · 2025: 16 · 2024: 16 · 2023: 18 · 2022: 28 · 2021: 23 · 2020: 29 · 2019: 54 · 2018: 18 · 2017: 23 · 2016: 20 · 2015: 30 · 2014: 26 · 2013: 28 · 2012: 33
FWCI: 10.57
Type: journal article
Language: en
Open access: hybrid
doi.org
Licence: cc-by-nc-sa
creativecommons.org/licenses/by-nc-sa/4.0/ (vor, 181 d)
Locations: Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
CaltechAUTHORS (California Institute of Technology) (submittedVersion)
Funders: California Institute of Technology
Office of Naval Research (N00014)
National Institute of Mental Health (MH19138-02 T32, T32MH019138)
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Keywords: visual attention, invariant pattern recognition, position invariance, scale invariance, dynamic routing, pulvinar, primary visual cortex, top-down and bottom-up processing, saliency maps, cortical topography, biologically plausible models
MeSH terms: Animals, Association Learning, Attention, Computer Simulation, Mathematics, Memory, Models, Biological, Models, Psychological, Neurons, Pattern Recognition, Visual, Primates, Visual Cortex

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A neurobiological model of visual attention and invariant pattern recognition based on dynamic routing of information

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