Cited by 2,460Visual perception and processing mechanismsNeural dynamics and brain functionFace Recognition and Perception

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Natural Image Statistics and Neural Representation

Simoncelli, Eero P, Olshausen, Bruno A·2001·Annual Review of Neuroscience

DOI 10.1146/annurev.neuro.24.1.1193

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Abstract

▪ Abstract It has long been assumed that sensory neurons are adapted, through both evolutionary and developmental processes, to the statistical properties of the signals to which they are exposed. Attneave (1954) , Barlow (1961) proposed that information theory could provide a link between environmental statistics and neural responses through the concept of coding efficiency. Recent developments in statistical modeling, along with powerful computational tools, have enabled researchers to study more sophisticated statistical models for visual images, to validate these models empirically against large sets of data, and to begin experimentally testing the efficient coding hypothesis for both individual neurons and populations of neurons.

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“Discussion 390 Growing experimental and theoretical evidence supports the notion that human and animal visual systems are adapted 391 to represent natural scenes efficiently (Simoncelli & Olshausen 2001).”
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Authors: Simoncelli, E. P., & Olshausen, B. A.
Affiliations: Howard Hughes Medical Institute (US)
University of California, Davis (US)
ORCID: Simoncelli, Eero P
Olshausen, Bruno A
Venue: Annual Review of Neuroscience
Publisher: Annual Reviews
Published: 2001-03
Volume: 24
Issue: 1
Pages: 1193-1216
ISSN: 0147-006X (ISSN-L)
1545-4126
DOI: 10.1146/annurev.neuro.24.1.1193
OpenAlex: W2151035455
Cited by: 2,460
References: 87
Citations by year: 2026: 99 · 2025: 135 · 2024: 114 · 2023: 130 · 2022: 117 · 2021: 133 · 2020: 108 · 2019: 136 · 2018: 107 · 2017: 98 · 2016: 118 · 2015: 110 · 2014: 122 · 2013: 124 · 2012: 93
FWCI: 4.19
Type: journal article
Language: en
Open access: closed
Locations: Annual Review of Neuroscience (publishedVersion)
PubMed (publishedVersion)
Funders: National Institutes of Health (5r29mh057921-05)
National Institute of Mental Health (R29-MH57921)
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
Keywords: natural image statistics, efficient coding hypothesis, coding efficiency, neural representations, sensory adaptation, information theory, population coding, visual neurons
MeSH terms: Animals, Brain Mapping, Environment, Humans, Image Processing, Computer-Assisted, Neurons, Pattern Recognition, Visual, Visual Cortex, Visual Perception

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Natural Image Statistics and Neural Representation

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