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

Natural Image Statistics and Neural Representation

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

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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Crossref · 10.1146/annurev.neuro.24.1.1193

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  • Computational neuroscience has developed mathematical models of elementary computational components including sensory coding, normalization, working memory, evidence accumulation and decision mechanisms, and motor control.

    “These include components for sensory coding29,30, normalization31, working memory32, evidence accumulation and decision mechanisms33–35, and motor control36.”

    From Cognitive computational neuroscience (2018) · cites this paper as [30]

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Authors
Simoncelli, E. P., & Olshausen, B. A.
Affiliations
  • Howard Hughes Medical Institute (US)
  • University of California, Davis (US)
Venue
Annual Review of Neuroscience
Published
2001-03
Volume
24
Issue
1
Pages
1193-1216
ISSN
  • 0147-006X (ISSN-L)
  • 1545-4126
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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