Abstract
Nervous systems perform amazing control functions, which include driving complex locomotive systems in real time. How do they do it? The best explanation neuroscientists have found is that nervous systems collect information from the organism and the environment, use that information to construct representations, and perform computations on such representations. The output of neural computations drives the organism. This article discusses what it means for nervous systems to carry information, to represent, and to perform computations.
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References
Allen, C., & Bekoff, M. (1995). Biological function, adaptation, and natural design. Philosophy of Science, 62(4), 609–622.
Bigelow, J., & Pargetter, R. (1987). Functions. The Journal of Philosophy, 84(4), 181–196.
Boden, M. (2006). The mind as machine. Oxford: Oxford University Press.
Borst, A., & Theunissen, F. E. (1999). Information theory and neural coding. Nature Neuroscience, 2(11), 947–957. doi:10.1038/14731.
Dretske, F. (1988). Explaining behavior: Reasons in a world of causes. Cambridge, MA: MIT Press.
Fodor (1981). Scientific American, 244, 114–25.
Godfrey-Smith, P. (1994). A modern history theory of functions. Noûs, 28(3), 344–362.
Grice, H. P. (1957). Meaning. Philosophical Review, 66(3), 377–388.
Hubel, D. H., & Wiesel, T. N. (1962). Receptive fields, binocular interaction and functional architecture in the cat’s visual cortex. The Journal of Physiology, 160, 106–154.
Koch, C. (1999). Biophysics of computation: Information processing in single neurons. Oxford: Oxford University Press.
Marr, D., & Hildreth, E. (1980). Theory of edge detection. Proceedings of the Royal Society B, 207, 187–217.
Millikan, R. G. (1989). In defense of proper functions. Philosophy of Science, 56(2), 288–302.
Moser, E. I., Kropff, E., & Moser, M.-B. (2008). Place cells, grid cells, and the brain’s spatial representation system. Annual Review of Neuroscience, 31(1), 69–89. doi:10.1146/annurev.neuro.31.061307.090723.
Peirce, C. S. (1992). In N. Houser & C. Kloesel (Eds.), The essential peirce. Bloomington: Indiana University Press.
Piccinini, G. (2008). Computation without representation. Philosophical Studies, 137(2), 205–241.
Piccinini, G., & Bahar, S. (2013). Neural computation and the computational theory of cognition. Cognitive Science, 34, 453–488.
Piccinini, G., & Scarantino, A. (2011). Information processing, computation, and cognition. Journal of Biological Physics, 37(1), 1–38. doi:10.1007/s10867-010-9195-3.
Romo, R., Hernandez, A., Zainos, A., Brody, C., & Salinas, E. (2002). Exploring the cortical evidence of a sensory-discrimination process. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences, 357(1424), 1039–1051. doi:10.1098/rstb.2002.1100.
Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal, 27, 379–423.
Strong, S. P., Koberle, R., van Steveninck, R. R. D. R., & Bialek, W. (1998). Entropy and information in neural spike trains. Physical Review Letters, 80(1), 197.
Turing, A. M. (1936–7 [1965]). On computable numbers, with an application to the Entscheidungsproblem (Repreinted in The Undecidable, pp. 116–154, by M. Davis, Ed., Ewlett, Raven).
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Maley, C.J., Piccinini, G. (2015). Neural Representation and Computation. In: Clausen, J., Levy, N. (eds) Handbook of Neuroethics. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4707-4_8
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DOI: https://doi.org/10.1007/978-94-007-4707-4_8
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