The Computer and the Brain Revisited

Terrence Sejnowski assesses von Neumann's contribution of mathematical and computational tools for the development of computational neuroscience. He surveys the progress that has been made in this field since von Neumann's death and outlines the difficulties that remain.

[1]  W S McCulloch,et al.  A logical calculus of the ideas immanent in nervous activity , 1990, The Philosophy of Artificial Intelligence.

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

[3]  Thomas K. Landauer,et al.  How Much do People Remember? Some Estimates of the Quantity of Learned Information in Long-Term Memory , 1986, Cogn. Sci..

[4]  David L. Waltz,et al.  The prospects for building truly intelligent machines , 1989 .

[5]  E. W. Kairiss,et al.  Long-Term Potentiation in Two Synaptic Systems of the Hippocampal Brain Slice , 1989 .

[6]  J. Hopfield,et al.  Computing with neural circuits: a model. , 1986, Science.

[7]  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.

[8]  John von Neumann,et al.  The Computer and the Brain , 1960 .

[9]  James L. McClelland,et al.  James L. McClelland, David Rumelhart and the PDP Research Group, Parallel distributed processing: explorations in the microstructure of cognition . Vol. 1. Foundations . Vol. 2. Psychological and biological models . Cambridge MA: M.I.T. Press, 1987. , 1989, Journal of Child Language.

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

[11]  Nelson H. F. Beebe,et al.  Annals of the History of Computing , 1984, SIGIR Forum.

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

[13]  S. Wolfram.  Statistical mechanics of cellular automata , 1983 .

[14]  F. Crick.  Function of the thalamic reticular complex: the searchlight hypothesis. , 1984, Proceedings of the National Academy of Sciences of the United States of America.

[15]  Magda B. Arnold,et al.  Memory and the brain , 1984 .

[16]  Allen Newell,et al.  Computer science as empirical inquiry: symbols and search , 1976, CACM.

[17]  Terrence J. Sejnowski,et al.  Building network learning algorithms from Hebbian synapses , 1990 .

[18]  Carver Mead,et al.  Analog VLSI and neural systems , 1989 .