Theoretical notes on “Parallel models of associative memory”

Abstract A phrase which has become fashionable in discussing neuropsychological functioning is “parallel distributed processing”. The meaning and implica- tions of this phrase are examined in the papers edited by Hinton and Ander- son (1981) in “Parallel models of associative memory” (henceforth, PMAM). Since the book was published the theoretical ideas discussed in it have steadily increased in popularity and influence. Indeed, in retrospect, it appears as though the book set out the beginnings of an alternative framework for understanding neuropsychological functioning. Given this, and the current interest in cognitive neuropsychology, it is appropriate to examine the book and the new framework critically.

[1]  Donald E. Broadbent,et al.  The Maltese cross: A new simplistic model for memory , 1984, Behavioral and Brain Sciences.

[2]  Geoffrey E. Hinton,et al.  A Learning Algorithm for Boltzmann Machines , 1985, Cogn. Sci..

[3]  M. Turvey,et al.  Ecological laws of perceiving and acting: In reply to Fodor and Pylyshyn (1981) , 1981, Cognition.

[4]  A. Allport.  Alternatives to the computational view of mind: the baby or the bathwater? A commentary on Kolers and Smythe , 1984 .

[5]  A. J. Mistlin,et al.  Visual cells in the temporal cortex sensitive to face view and gaze direction , 1985, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[6]  P. H. Lindsay,et al.  Human Information Processing: An Introduction to Psychology , 1972 .

[7]  J. A. Anderson,et al.  A neural network model of multistable perception. , 1985, Acta psychologica.

[8]  James L. McClelland.  Putting Knowledge in its Place: A Scheme for Programming Parallel Processing Structures on the Fly , 1988, Cogn. Sci..

[9]  Ian P. Howard,et al.  An Investigation of a Satiation Process in the Reversible Perspective of Revolving Skeletal Shapes , 1961 .

[10]  D. Hubel,et al.  Receptive fields of single neurones in the cat's striate cortex , 1959, The Journal of physiology.

[11]  P. A. Kolers,et al.  Symbol manipulation: Alternatives to the computational view of mind , 1984 .

[12]  Terrence J. Sejnowski,et al.  LEARNING SEMANTIC FEATURES , 1984 .

[13]  Geoffrey E. Hinton.  A Parallel Computation that Assigns Canonical Object-Based Frames of Reference , 1981, IJCAI.

[14]  S. Grossberg.  Do all neural models really look alike? A comment on Anderson, Silverstein, Ritz, and Jones. , 1978, Psychological review.

[15]  J.A. Anderson,et al.  Theory of categorization based on distributed memory storage. , 1984 .

[16]  E. Stabler.  How are grammers represented? , 1983, Behavioral and Brain Sciences.

[17]  F. Keil.  Constraints on knowledge and cognitive development. , 1981 .

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

[19]  Geoffrey E. Hinton,et al.  OPTIMAL PERCEPTUAL INFERENCE , 1983 .

[20]  J. Marshall.  Multiple perspectives on modularity , 1984, Cognition.

[21]  David D. Tukey.  A Philosophical and Empirical Analysis of Subjects’ Modes of Inquiry in Wason's 2–4–6 Task , 1986, The Quarterly journal of experimental psychology. A, Human experimental psychology.

[22]  Allen Newell,et al.  Physical Symbol Systems , 1980, Cogn. Sci..

[23]  Allen Newell,et al.  Human Problem Solving. , 1973 .

[24]  J. Fodor.  The Modularity of mind. An essay on faculty psychology , 1986 .

[25]  J. Gibson.  The Ecological Approach to Visual Perception , 1979 .

[26]  David S. Touretzky,et al.  Cancellation in a Parallel Semantic Network , 1981, IJCAI.

[27]  Gregory L. Murphy,et al.  Psychological concepts in a parallel system , 1986 .

[28]  David Gaffan,et al.  Visual Identification following Inferotemporal Ablation in the Monkey , 1986, The Quarterly journal of experimental psychology. B, Comparative and physiological psychology.

[29]  James L. McClelland,et al.  An interactive activation model of context effects in letter perception: I. An account of basic findings. , 1981 .

[30]  Stephen A. Ritz,et al.  Distinctive features, categorical perception, and probability learning: some applications of a neural model , 1977 .

[31]  S. Ullman.  Against direct perception , 1980, Behavioral and Brain Sciences.

[32]  D. Marr,et al.  Artificial Intelligence - A Personal View , 1976, Artif. Intell..

[33]  Keith Oatley,et al.  Perceptions and Representations: The Theoretical Bases of Brain Research and Psychology , 1978 .

[34]  Geoffrey E. Hinton,et al.  Shape Recognition and Illusory Conjunctions , 1985, IJCAI.

[35]  Jack W. Silverstein,et al.  Reply to Grossberg , 1978 .

[36]  J. Morton,et al.  On reducing language to biology , 1984 .

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

[38]  J. Fodor,et al.  How direct is visual perception?: Some reflections on Gibson's “ecological approach” , 1981, Cognition.

[39]  M. Ross Quillian,et al.  The teachable language comprehender: a simulation program and theory of language , 1969, CACM.