Literature DB >> 11520932

Natural image statistics and neural representation.

E P Simoncelli1, B A Olshausen.   

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.

Mesh:

Year:  2001        PMID: 11520932     DOI: 10.1146/annurev.neuro.24.1.1193

Source DB:  PubMed          Journal:  Annu Rev Neurosci        ISSN: 0147-006X            Impact factor:   12.449


  508 in total

1.  Natural stimulation of the nonclassical receptive field increases information transmission efficiency in V1.

Authors:  William E Vinje; Jack L Gallant
Journal:  J Neurosci       Date:  2002-04-01       Impact factor: 6.167

2.  Bayesian natural selection and the evolution of perceptual systems.

Authors:  Wilson S Geisler; Randy L Diehl
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2002-04-29       Impact factor: 6.237

3.  Deconstructing continuous flash suppression.

Authors:  Eunice Yang; Randolph Blake
Journal:  J Vis       Date:  2012-03-08       Impact factor: 2.240

4.  Experimental determination of object statistics from noisy images.

Authors:  Matthew A Kupinski; Eric Clarkson; John W Hoppin; Liying Chen; Harrison H Barrett
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2003-03       Impact factor: 2.129

5.  Ideal-observer computation in medical imaging with use of Markov-chain Monte Carlo techniques.

Authors:  Matthew A Kupinski; John W Hoppin; Eric Clarkson; Harrison H Barrett
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2003-03       Impact factor: 2.129

6.  Range image statistics can explain the anomalous perception of length.

Authors:  Catherine Q Howe; Dale Purves
Journal:  Proc Natl Acad Sci U S A       Date:  2002-09-17       Impact factor: 11.205

7.  Error-driven learning in statistical summary perception.

Authors:  Judith E Fan; Nicholas B Turk-Browne; Jordan A Taylor
Journal:  J Exp Psychol Hum Percept Perform       Date:  2015-09-21       Impact factor: 3.332

8.  Topology of Functional Connectivity and Hub Dynamics in the Beta Band As Temporal Prior for Natural Vision in the Human Brain.

Authors:  Viviana Betti; Maurizio Corbetta; Francesco de Pasquale; Vincent Wens; Stefania Della Penna
Journal:  J Neurosci       Date:  2018-03-19       Impact factor: 6.167

9.  Sensory optimization by stochastic tuning.

Authors:  Peter Jurica; Sergei Gepshtein; Ivan Tyukin; Cees van Leeuwen
Journal:  Psychol Rev       Date:  2013-10       Impact factor: 8.934

10.  The neural dynamics of face detection in the wild revealed by MVPA.

Authors:  Maxime Cauchoix; Gladys Barragan-Jason; Thomas Serre; Emmanuel J Barbeau
Journal:  J Neurosci       Date:  2014-01-15       Impact factor: 6.167

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