Predictive coding

被引:362
作者
Huang, Yanping [1 ]
Rao, Rajesh P. N. [1 ]
机构
[1] Univ Washington, Dept Comp Sci & Engn, Washington, DC 20001 USA
关键词
CLASSICAL RECEPTIVE-FIELD; RESPONSE PROPERTIES; VISUAL-CORTEX; NATURAL SCENES; MODEL; AREA; STATISTICS; PERCEPTION; NEURONS; MACAQUE;
D O I
10.1002/wcs.142
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Predictive coding is a unifying framework for understanding redundancy reduction and efficient coding in the nervous system. By transmitting only the unpredicted portions of an incoming sensory signal, predictive coding allows the nervous system to reduce redundancy and make full use of the limited dynamic range of neurons. Starting with the hypothesis of efficient coding as a design principle in the sensory system, predictive coding provides a functional explanation for a range of neural responses and many aspects of brain organization. The lateral and temporal antagonism in receptive fields in the retina and lateral geniculate nucleus occur naturally as a consequence of predictive coding of natural images. In the higher visual system, predictive coding provides an explanation for oriented receptive fields and contextual effects as well as the hierarchical reciprocally connected organization of the cortex. Predictive coding has also been found to be consistent with a variety of neurophysiological and psychophysical data obtained from different areas of the brain. (C) 2011 John Wiley & Sons, Ltd. WIREs Cogn Sci 2011 2 580-593 DOI: 10.1002/wcs.142
引用
收藏
页码:580 / 593
页数:14
相关论文
共 73 条
[1]   STIMULUS SPECIFIC RESPONSES FROM BEYOND THE CLASSICAL RECEPTIVE-FIELD - NEUROPHYSIOLOGICAL MECHANISMS FOR LOCAL GLOBAL COMPARISONS IN VISUAL NEURONS [J].
ALLMAN, J ;
MIEZIN, F ;
MCGUINNESS, E .
ANNUAL REVIEW OF NEUROSCIENCE, 1985, 8 :407-430
[2]  
[Anonymous], NETWORK COMPUT NEURA
[3]  
[Anonymous], ARTIFICIAL NEURAL NE
[4]  
[Anonymous], NEURAL NETWORKS
[5]  
[Anonymous], J NEUROPHYSIOL
[6]  
[Anonymous], J NEUROPHYSIOL
[7]  
[Anonymous], 1999, STOCHASTIC COMPLEXIT
[8]   Could information theory provide an ecological theory of sensory processing? [J].
Aticky, Joseph J. .
NETWORK-COMPUTATION IN NEURAL SYSTEMS, 2011, 22 (1-4) :4-44
[9]   SOME INFORMATIONAL ASPECTS OF VISUAL PERCEPTION [J].
ATTNEAVE, F .
PSYCHOLOGICAL REVIEW, 1954, 61 (03) :183-193
[10]  
BARLOW H, 1989, COMP NEUR S, P54