▪ 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.
| This review | |
|---|---|
| NATURAL IMAGE STATISTICS AND NEURAL REPRESENTATION | |
| Eero P Simoncelli, Bruno A Olshausen | |
| Annual Review of Neuroscience.
Volume 24,
Page 1193-1216,
2001 | |
Object Perception as Bayesian Inference | |
| Daniel Kersten, Pascal Mamassian, Alan Yuille | |
| Annual Review of Psychology.
Volume 55,
Page 271-304,
2004 | |
| Abstract | Full Text | PDF (677 KB) |
COMPLETE FUNCTIONAL CHARACTERIZATION OF SENSORY NEURONS BY SYSTEM IDENTIFICATION | |
| Michael C.-K. Wu, Stephen V. David, Jack L. Gallant | |
| Annual Review of Neuroscience.
Volume 29,
Page 477-505,
2006 | |
| Abstract | Full Text | PDF (314 KB) |
Color in Complex Scenes | |
| Steven K. Shevell, Frederick A. A. Kingdom | |
| Annual Review of Psychology.
Volume 59,
Page 143-166,
2008 | |
| Abstract | Full Text | PDF (10491 KB) |
Visual Perception and the Statistical Properties of Natural Scenes | |
| Wilson S. Geisler | |
| Annual Review of Psychology.
Volume 59,
Page 167-192,
2008 | |
| Abstract | Full Text | PDF (2597 KB) |
Neural Representations for Object Perception: Structure, Category, and Adaptive Coding | |
| Zoe Kourtzi, Charles E. Connor | |
| Annual Review of Neuroscience.
Volume 34,
Page 45-67,
2011 | |
| Abstract | Full Text | PDF (1595 KB) |
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