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Fast-Most Information Extraction by Retinal Y-X Cells

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Computation and Neural Systems
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Abstract

In mammalian retina, the Y (or M) ganglion cells respond more transiently, have larger receptive fields, and are less spectral selective than the X (or P) cells. A “fast-most” model is introduced to show that the differences between the cells can be explained by assigning different functional goals to them. The goal of the Y cells is to extract as fast as possible the minimum amount of information necessary for quick responses. In contrast, the X cells are to extract as much information as possible.

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References

  1. Atick J.J., Redlich A.N., Neural Comp. 1990 v. 2 p. 308–320. and v. 4 p. 196-210 (1992). also Atick J.J., Li Z, Redlich A.N. v. 4 p. 559-572 (1992)

    Article  Google Scholar 

  2. Cleland B.G., Levick W.R, and Sanderson K.J. (1973) J. Physiol. 1973 v. 228, p. 649–680.

    Google Scholar 

  3. Derrington A.M, Lennie P. J. Physiol. 1982 v. 333 p. 343–366, and v. 357 p. 219-240 (1984).

    Google Scholar 

  4. Field D.J. J. Opt. Soc. Am. 1987 v. 4 p. 2379–2394

    Article  ADS  Google Scholar 

  5. Ikeda H, Wright M.J. J. Physiol. 1972 v. 227 p. 769–800.

    Google Scholar 

  6. Kandel E.R., Schwartz J.H. “Principles of Neural Science” 1985 Second Ed. Elsevier

    Google Scholar 

  7. Li Z. International Journal of Neural. Systems. 1992 v. 3(3)

    Google Scholar 

  8. Linsker R, Computer 1988 21 v. 3 p. 105–117. and “Advances in Neural Information processing Systems I”, ed D. Touretzky p. 186-194.

    Article  Google Scholar 

  9. Shapley R, and Perry V. H. Trends in Neurosci. 1986 v. 9 p. 229–235.

    Article  Google Scholar 

  10. Van Essen D. C, Anderson C. H. In “Introduction to Neural and Electronic Networks” 1990 eds S.F. Zornetzer, J.L. Davis, C. Lau. Academic Press, Orlando, Florida.

    Google Scholar 

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© 1993 Springer Science+Business Media New York

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Li, Z. (1993). Fast-Most Information Extraction by Retinal Y-X Cells. In: Eeckman, F.H., Bower, J.M. (eds) Computation and Neural Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-3254-5_25

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  • DOI: https://doi.org/10.1007/978-1-4615-3254-5_25

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-6431-3

  • Online ISBN: 978-1-4615-3254-5

  • eBook Packages: Springer Book Archive

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