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The nature of economical coding is determined by the unique properties of objects in the environment

Published online by Cambridge University Press:  08 April 2008

Stephen Handel
Stephen Handel
Affiliation:
P.O. Box 95, Hulls Cove, ME 04644; Professor Emeritus, University of Tennessee, Knoxville, TN 37996-0900. shandel@utk.edu
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Abstract

The physical properties that signify objects differ dramatically, so that the organization of sensory systems must reflect those differences. Although all senses may encode peripheral sensory information using across-fiber firing distributions, an economical coding system for each sense will necessarily differ. An economical code must maximize information about objects, whether they are predators or foods.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 31 , Issue 1 , February 2008 , pp. 81 - 82
Copyright
Copyright © Cambridge University Press 2008

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References

Barlow, H. B. (2001) Redundancy reduction revisited. Network: Computation in neural systems 12:241–53.CrossRefGoogle ScholarPubMed
De Valois, R., & De Valois, K. K. (1988) Spatial vision. Oxford University Press.Google Scholar
Handel, S. (2006) Perceptual coherence: Hearing and seeing. Oxford University Press.CrossRefGoogle Scholar
Judd, D. B., MacAdam, D. L. & Wyszecki, G. (1964) Spectral distribution of typical daylight as a function of correlated color temperature. Journal of the Optical Society of America 54:1031–40.CrossRefGoogle Scholar
Lewicki, M. S. (2002) Efficient coding of natural sounds. Nature Neuroscience 5:356–63.CrossRefGoogle ScholarPubMed
Ruderman, D. L., Cronin, T. W. & Chiao, C.-C. (1998) Statistics of cone responses to natural images: Implications for visual coding. Journal of the Optical Society of America, A 15:2036–45. 1649.CrossRefGoogle Scholar
Wandell, B. (1995) Foundations of vision Sinauer.Google Scholar
Wilson, R. I. (2007) Neural circuits underlying chemical perception. Science 318:584–85.CrossRefGoogle ScholarPubMed
Xu, P., Atkinson, R., Jones, D. N. M. & Smith, D. P. (2005) Drosophila OBP LUSH is required for activity of pherome-sensitive neurons. Neuron 45:193–200.CrossRefGoogle ScholarPubMed
Young, T. (1802) On the theory of light and colours. Philosophical Transactions, Royal Society of London 92:12–48.Google Scholar