Books on the topic 'Visual photoreceptors'

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1

Wolken, Jerome J. Light detectors, photoreceptors, and imaging systems in nature. New York: Oxford University Press, 1995.

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2

Wolken, Jerome J. Light detectors, photoreceptors, andimaging systems in nature. New York: Oxford University Press, 1995.

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3

Symposium on Frontiers of Visual Science (1988 National Academy of Sciences). Advances in photoreception: Proceedings of a Symposium on Frontiers of Visual Science. Washington, D.C: National Academy Press, 1990.

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4

1942-, Fein Alan, Levine Joseph S, and MacNichol E. F. 1918-, eds. The Visual system: Proceedings of a symposium in honor of Edward F. MacNichol, Jr., held in Woods Hole, Massachusetts, December 2 and 3, 1983. New York: Liss, 1985.

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5

International School of Biophysics (1998 Casamicciola Terme, Italy). Neuronal coding of perceptual systems: Proceedings of the International School of Biophysics, Casamicciola, Napoli, Italy, 12-17 October 1998. New Jersey: World Scientific, 2001.

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6

NATO Advanced Research Workshop on Advances in Understanding Visual Processes: Convergence of Neurophysiological and Psychophysical Evidence (1990 Røros, Norway). From pigments to perception: Advances in understanding visual processes. New York: Plenum Press, 1991.

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7

1938-, Hargrave P. A., Hofmann K. P. 1943-, Kaupp U. B. 1949-, and International Symposium on Signal Transduction in Photoreceptor Cells (1990 : Forschungszentrum Jülich), eds. Signal transduction in photoreceptor cells: Proceedings of an international workshop, held at the Research Centre Jülich, Jülich, Fed. Rep. of Germany, 8-11 August 1990. Berlin: Springer-Verlag, 1992.

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8

Tombran-Tink, Joyce, and Colin J. Barnstable. Visual Transduction And Non-Visual Light Perception. Humana, 2016.

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9

Tombran-Tink, Joyce, and Colin J. Barnstable. Visual Transduction and Non-Visual Light Perception. Humana Press, 2008.

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10

Joyce, Tombran-Tink, and Barnstable Colin J, eds. Visual transduction and non-visual light perception. Totowa, N.J: Humana Press, 2008.

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11

Williams, Theodore P. Effects of Constant Light on Visual Processes. Springer London, Limited, 2012.

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12

Retinal proteins: Proceedings of an International Conference Irkutsk (Lake Baikal), USSR, 22-28 July 1986. Utrecht, The Netherlands: VNU Science Press, 1987.

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13

Ovchinnikov, Yu A. Retinal Proteins: Proceedings of the International Conference, Ussr, 1986. Brill Academic Publishers, 1987.

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14

Krzysztof, Palczewski, ed. Vertebrate phototransduction and the visual cycle. San Diego, CA: Academic Press, 2000.

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15

(Editor), John N. Abelson, Melvin I. Simon (Editor), and Krzysztof Palczewski (Editor), eds. Vertebrae Phototransduction and the Visual Cycle, Part B, Volume 316 (Methods in Enzymology). Academic Press, 2000.

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16

(US), National Research Council. Advances in Photoreception: Proceedings of a Symposium on Frontiers of Visual Science. National Academies Press, 1990.

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17

(Editor), Arne Valberg, and Barry B. Lee (Editor), eds. From Pigments to Perception:: Advances in Understanding the Visual Process (Nato Science Series: A:). Springer, 1991.

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18

Hargrave, Paul A., and K. P. Hofmann. Signal Transduction in Photoreceptor Cells: Proceedings of an International Workshop Held at the Research Centre Julich, Julich, Fed. Rep. of Germany (Lecture Notes in Computer Science). Springer, 1992.

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19

Hofmann, Klaus P., U. Benjamin Kaupp, and Paul A. Hargrave. Signal Transduction in Photoreceptor Cells: Proceedings of an International Workshop Held at the Research Centre Jülich, Jülich, Fed. Rep. of Germany, 8-11 August 1990. Springer London, Limited, 2013.

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20

Chirimuuta, Mazviita. The Development and Application of Efficient Coding Explanation in Neuroscience. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198777946.003.0009.

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Abstract:
In the philosophy of neuroscience, much attention has been paid to mechanistic causal explanations, both in terms of their theoretical virtues, and their application in potential therapeutic interventions. Non-mechanistic, non-causal explanatory models, it is often assumed, would have no role to play in any practical endeavors. This assumption ignores the fact that many of the non-mechanistic explanatory models which have been successfully employed in neuroscience have their origins in engineering and applied sciences, and are central to many new neuro-technologies. This chapter examines the development of explanations of lateral inhibition in the early visual system as implementing an efficient code for converting photoreceptor input into a data-compressed output from the eye to the brain. Two applications of the efficient coding approach are considered: in streamlining the vast datasets of current neuroscience by offering unifying principles, and in building artificial systems that replicate vision and other cognitive functions.
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