Neural representation and neural computation

The types of representation and the styles of computation in the brain appear to be very different from the symbolic expressions and logical inferences that are used in sentence-logic models of cognition. In this chapter we explore the consequences that brain-style processing may have on theories of cognition. Connectionist models are used as examples to illustrate neural representation and computation in the pronouncing of English text, and in the extracting of shape parameters from shaded images. Levels of analysis are not independent in connectionist models, and the dependencies between levels provide an opportunity to co-evolve theories at all levels. This is a radical departure from the a priori, introspection-based strategy that has characterized most previous work in epistemology.

[1]  J. Yolton.  A Theory of Knowledge , 1924, Nature.

[2]  S. Kaplan.  The Physiology of Thought , 1950 .

[3]  James E. pLebensohn.  Geometry and the Imagination , 1952 .

[4]  D. Whitteridge,et al.  Learning and Relearning , 1959, Science's STKE.

[5]  Willard Van Orman Quine,et al.  Word and Object , 1960 .

[6]  D. Hubel,et al.  Receptive fields, binocular interaction and functional architecture in the cat's visual cortex , 1962, The Journal of physiology.

[7]  P. Strawson,et al.  The Bounds of Sense: An Essay on Kant's Critique of Pure Reason. , 2018 .

[8]  Roderick M. Chisholm,et al.  Theory of Knowledge , 1989 .

[9]  S. A. Erickson.  The Bounds of Sense: An Essay on Kant's Critique of Pure Reason (review) , 2008 .

[10]  Donald Davidson,et al.  On the Very Idea of a Conceptual Scheme , 1973 .

[11]  Kenneth F. Schaffner,et al.  Reductionism in Biology: Prospects and Problems , 1974, PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association.

[12]  H. Putnam.  17. The Nature of Mental States , 1975 .

[13]  P. Churchland.  Scientific realism and the plasticity of mind , 1980 .

[14]  R. C. Richardson.  Functionalism and Reductionism , 1979, Philosophy of Science.

[15]  Daniel C. Dennett,et al.  Brainstorms: Philosophical Essays on Mind and Psychology , 1981 .

[16]  A. Pellionisz,et al.  Space-time representation in the brain. The cerebellum as a predictive space-time metric tensor , 1982, Neuroscience.

[17]  Berent Enç.  In Defense of the Identity Theory , 1983 .

[18]  Alex Pentland,et al.  Local Shading Analysis , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[19]  J. Michael.  Verbal behavior. , 1984, Journal of the experimental analysis of behavior.

[20]  P. Churchland,et al.  From Folk Psychology to Cognitive Science: The Case against Belief. , 1985 .

[21]  Terrence J. Sejnowski,et al.  Open questions about computation in cerebral cortex , 1986 .

[22]  Geoffrey E. Hinton,et al.  Learning internal representations by error propagation , 1986 .

[23]  B. Skinner.  Is it behaviorism? , 1986, Behavioral and Brain Sciences.

[24]  A. J. Mandt.  The Triumph of Philosophical Pluralism? Notes on the Transformation of Academic Philosophy , 1986 .

[25]  S. Kelso,et al.  Hebbian synapses in hippocampus. , 1986, Proceedings of the National Academy of Sciences of the United States of America.

[26]  M. Sereno.  A program for the neurobiology of mind , 1986 .

[27]  Geoffrey E. Hinton,et al.  Learning and relearning in Boltzmann machines , 1986 .

[28]  S. Stich.  From folk psychology to cognitive science: The case against belief. , 1986 .

[29]  James L. McClelland,et al.  Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations , 1986 .

[30]  J. Smart.  Neurophilosophy: Toward a unified science of the mind-brain Patricia Smith Churchland. Bradford Books, MIT Press, Cambridge, Massachusetts (1986). xiv + 546 pp. , 1987, Neuroscience.

[31]  S Dehaene,et al.  Neural networks that learn temporal sequences by selection. , 1987, Proceedings of the National Academy of Sciences of the United States of America.

[32]  Terrence J. Sejnowski,et al.  Parallel Networks that Learn to Pronounce English Text , 1987, Complex Syst..

[33]  Terrence J. Sejnowski,et al.  Network model of shape-from-shading: neural function arises from both receptive and projective fields , 1988, Nature.

[34]  D. Gordon.  The Evolution of the Soul , 1988 .

[35]  Terrence J. Sejnowski,et al.  Neural network learning algorithms , 1988 .

[36]  M. Livingstone.  Art, illusion and the visual system. , 1988, Scientific American.

[37]  Jerome A. Feldman,et al.  Connectionist Models and Their Properties , 1982, Cogn. Sci..

[38]  Geoffrey E. Hinton,et al.  Learning distributed representations of concepts. , 1989 .

[39]  T. Sejnowski,et al.  Brain and cognition , 1989 .

[40]  Geoffrey E. Hinton,et al.  Parallel Models of Associative Memory , 1989 .

[41]  Geoffrey E. Hinton.  Connectionist Learning Procedures , 1989, Artif. Intell..

[42]  E. Capaldi,et al.  The organization of behavior. , 1992, Journal of applied behavior analysis.