D. Rumelhart

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Parallel Distributed Processing Volume 1: Foundations

D. Rumelhart, 1987 .

Learning representations by back-propagating errors

Geoffrey E. Hinton, Ronald J. Williams, David E. Rumelhart, 1986, Nature.

Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations

James L. McClelland, David E. Rumelhart, D. Rumelhart, 1986 .

Learning internal representations by error propagation

Geoffrey E. Hinton, Ronald J. Williams, David E. Rumelhart, 1986 .

Studies of Typing from the LNR Research Group

D. Rumelhart, D. Norman, 1983 .

An interactive activation model of context effects in letter perception: I. An account of basic findings.

James L. McClelland, D. Rumelhart, 1981 .

NOTES ON A SCHEMA FOR STORIES

D. Rumelhart, 1975 .

Mechanisms of Sentence Processing: Assigning Roles to Constituents of Sentences

James L. McClelland, David E. Rumelhart, D. Rumelhart, 1986 .

Feature Discovery by Competive Learning

David Zipser, David E. Rumelhart, D. Rumelhart, 1986, Cogn. Sci..

An interactive activation model of context effects in letter perception: Part 2. The contextual enhancement effect and some tests and extensions of the model.

James L. McClelland, D E Rumelhart, J L McClelland, 1982, Psychological review.

An Interactive Activation Model of the Effect of Context in Perception. Part II. Report No. 8003.

James L. McClelland, D. Rumelhart, 1980 .

Process of recognizing tachistoscopically presented words.

D. Rumelhart, P. Siple, 1974, Psychological review.

Psychological and biological models

James L. McClelland, D. Rumelhart, 1986 .

Integrated Segmentation and Recognition of Hand-Printed Numerals

James D. Keeler, Wee Kheng Leow, David E. Rumelhart, 1990, NIPS.

Forward Models: Supervised Learning with a Distal Teacher

Michael I. Jordan, David E. Rumelhart, D. Rumelhart, 1992, Cogn. Sci..

Self-organizing integrated segmentation and recognition neural network

David E. Rumelhart, James David Keeler, D. Rumelhart, 1992, Defense, Security, and Sensing.

Schemata and Sequential Thought Processes in PDP Models

Geoffrey E. Hinton, James L. McClelland, David E. Rumelhart, 1986 .

Distributed memory and the representation of general and specific information.

James L. McClelland, D. Rumelhart, 1985, Journal of experimental psychology. General.

On learning the past-tenses of English verbs: implicit rules or parallel distributed processing

James L. McClelland, David E. Rumelhart, D. Rumelhart, 1986 .

A system for perception and memory

D. Rumelhart, D. Norman, 1970 .

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.

James L. McClelland, David E. Rumelhart, D. Rumelhart, 1989, Journal of Child Language.

An interactive activation model of context effects in letter perception: part 1.: an account of basic findings

James L. McClelland, David E. Rumelhart, D. Rumelhart, 1988 .

A general framework for parallel distributed processing

Geoffrey E. Hinton, James L. McClelland, David E. Rumelhart, 1986 .

A multicomponent theory of the perception of briefly exposed visual displays

David E. Rumelhart, D. Rumelhart, 1970 .

Backpropagation: theory, architectures, and applications

Yves Chauvin, David E. Rumelhart, Y. Chauvin, 1995 .

Ensembles for supervised classification learning

David E. Rumelhart, Ofer Matan, D. Rumelhart, 1996 .

Explorations in Parallel Distributed Processing - Macintosh version: A Handbook of Models, Programs, and Exercises

James L. McClelland, David E. Rumelhart, D. Rumelhart, 1989 .

Predicting the Future: a Connectionist Approach

David E. Rumelhart, Andreas S. Weigend, Bernardo A. Huberman, 1990, Int. J. Neural Syst..

Generalization through Minimal Networks with Application to Forecasting

D. Rumelhart, A. Weigend, 1992 .

Context-dependent connectionist probability estimation in a hybrid hidden Markov model-neural net speech recognition system

Horacio Franco, Nelson Morgan, Michael Cohen, 1994, Comput. Speech Lang..

PDP models and general issues in cognitive science

James L. McClelland, D. Rumelhart, 1986 .

Product Units: A Computationally Powerful and Biologically Plausible Extension to Backpropagation Networks

David E. Rumelhart, Richard Durbin, D. Rumelhart, 1989, Neural Computation.

A process model for long-term memory.

Donald A. Norman, David E. Rumelhart, Peter H. Lindsay, 1972 .

Simulating a Skilled Typist: A Study of Skilled Cognitive-Motor Performance

Donald A. Norman, David E. Rumelhart, D. Rumelhart, 1982, Cogn. Sci..

An Interactive Activation Model of the Effect of Context in Perception. Part 2

David E. Rumelhart, James L McCelland, D. Rumelhart, 1980 .

Analogical Processes in Learning

Donald A. Norman, David E. Rumelhart, D. Rumelhart, 1980 .

chapter Parallel Distributed Processing, Exploration in the Microstructure of Cognition

D. E. Rumelhart, D. Rumelhart, 1986 .

Explorations in parallel distributed processing: a handbook of models, programs, and exercises

James L. McClelland, David E. Rumelhart, D. Rumelhart, 1988 .

Generalization by weight-elimination applied to currency exchange rate prediction

D. Rumelhart, A. Weigend, B. Huberman, 1991, [Proceedings] 1991 IEEE International Joint Conference on Neural Networks.

Predicting sunspots and exchange rates with connectionist networks

D. Rumelhart, A. Weigend, B. Huberman, 1991 .

Brain style computation: learning and generalization

David E. Rumelhart, D. Rumelhart, 1990 .

A model for analogical reasoning.

D. Rumelhart, Adele A. Abrahamson, 1973 .

Parallel Distributed Processing: Explorations in the Microstructure of Cognition : Psychological and Biological Models

James L. McClelland, David E. Rumelhart, D. Rumelhart, 1986 .

Explorations in Cognition

Donald A. Norman, David E. Rumelhart, D. Rumelhart, 1975 .

fMRI of human visual cortex

Adrian T. Lee, D. Rumelhart, G. Glover, 1994, Nature.

BACK-PROPAGATION, WEIGHT-ELIMINATION AND TIME SERIES PREDICTION

David E. Rumelhart, Andreas S. Weigend, Bernardo A. Huberman, 1991 .

Backpropagation: the basic theory

Yves Chauvin, David E. Rumelhart, Richard M. Golden, 1995 .

Accretion, tuning and restructuring: Three modes of learning

Donald A. Norman, David E. Rumelhart, D. Rumelhart, 1976 .

The neurobiological significance of the new learning models

David Zipser, David E. Rumelhart, D. Rumelhart, 1993 .

Philosophy and Connectionist Theory

D. Rumelhart, S. Stich, W. Ramsey, 1991 .

Feature Discovery by Competive Learning

David Zipser, David E. Rumelhart, D. Rumelhart, 1985, Cogn. Sci..

Biologically Plausible Models of Place Recognition and Goal Location

James L. McClelland, David E. Rumelhart, D. Rumelhart, 1987 .

Neural networks: applications in industry, business and science

Bernard Widrow, David E. Rumelhart, Michael A. Lehr, 1994, CACM.

Analogical Processes in Learning. Technical Report, April 1979-August 1980.

Donald A. Norman, David E. Rumelhart, D. Rumelhart, 1980 .

Active Semantic Networks as a Model of Human Memory

Donald A. Norman, David E. Rumelhart, D. Rumelhart, 1973, IJCAI.

Context-Dependent Multiple Distribution Phonetic Modeling with MLPs

Horacio Franco, Nelson Morgan, Michael Cohen, 1992, NIPS.

Reflections on Cognition and Parallel Distributed Processing

James L. McClelland, David E. Rumelhart, D. Rumelhart, 1987 .

The Representation of Knowledge in Memory 1

David E. Rumelhart, Andrew Ortony, D. Rumelhart, 2017 .

The architecture of mind: a connectionist approach

David E. Rumelhart, D. Rumelhart, 1989 .

A Glossary of Terms Including a Classification of Typing Errors

Jonathan Grudin, Donald A. Norman, David E. Rumelhart, 1983 .

Representation in Memory.

Donald A. Norman, David E. Rumelhart, D. Rumelhart, 1983 .

Toward a microstructural account of human reasoning

David E. Rumelhart, D. Rumelhart, 1989 .

Neuroscience and connectionist theory

David E. Rumelhart, Mark A. Gluck, D. Rumelhart, 2013 .

Facial Expression Recognition Using a Neural Network

Christine L. Lisetti, David E. Rumelhart, D. Rumelhart, 1998, FLAIRS.

Introduction to human information processing

David E. Rumelhart, D. Rumelhart, 1977 .

Learning and connectionist representations

Peter M. Todd, David E. Rumelhart, D. Rumelhart, 1993 .

The effective dimension of the space of hidden units

D. Rumelhart, D. Rumelhart, A. Weigend, 1991, [Proceedings] 1991 IEEE International Joint Conference on Neural Networks.

A Self-Organizing Integrated Segmentation and Recognition Neural Net

James D. Keeler, David E. Rumelhart, D. Rumelhart, 1991, NIPS.

A parallel distributed processing model of story comprehension and recall

Richard M. Golden, David E. Rumelhart, D. Rumelhart, 1993 .

An Environment to Acknowledge the Interface between Affect and Cognition

Christine L. Lisetti, David E. Rumelhart, Mark Holler, 1998 .

Internal World Models and Supervised Learning

Michael I. Jordan, David E. Rumelhart, D. Rumelhart, 1991, ML.

The basic ideas in neural networks

Bernard Widrow, David E. Rumelhart, Michael A. Lehr, 1994, CACM.

A simulation-based tutorial system for exploring parallel distributed processing

James L. McClelland, David E. Rumelhart, D. Rumelhart, 1988 .

Back-Propagation: Theory, Architecture, and Applications

Yves Chauvin, David E. Rumelhart, Y. Chauvin, 1995 .

Open Questions About Computation in Cerebral Cortex

James L. McClelland, David E. Rumelhart, D. Rumelhart, 1987 .

A Connectionist Model of the Owl's Sound Localization System

Eric I. Knudsen, David E. Rumelhart, Daniel J. Rosen, 1993, NIPS.

Weight elimination and effective network size

David E. Rumelhart, Andreas S. Weigend, D. Rumelhart, 1994, COLT 1994.

Levels indeed! A response to Broadbent

James L. McClelland, D. Rumelhart, 1985 .

A distributed model of human learning and memory

James L. McClelland, David E. Rumelhart, D. Rumelhart, 1986 .

Learning representations of back-propagation errors

Geoffrey E. Hinton, David E. Rumelhart, Geoffrey E. Hinton, 1986 .

Amnesia and distributed memory

James L. McClelland, D. Rumelhart, 1986 .

Metaphor and Thought: Some problems with the notion of literal meanings

D. Rumelhart, 1993 .

Parallel distributed processing, 9th Edition

David E. Rumelhart, D. Rumelhart, 1989 .

Generalization by weight-elimination applied to currency exchange rate prediction

D. Rumelhart, D. Rumelhart, A. Weigend, 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.

Backpropagation: the basic theory

Y. Chauvin, D. Rumelhart, R. Golden, 1995 .

Schemata: The Building Blocks of Cognition

D. Rumelhart, 2017 .

Task and Object Learning in Visual Recognition

Geoffrey E. Hinton, D. Rumelhart, D. Perrett, 1991 .

Schemata and the cognitive system.

D. Rumelhart, 1984 .

Cognitive Modeling, Symbolic

James L. McClelland, R. H. Phaf, D C Plaut, 2022 .

The LNR approach to human information processing

Donald A. Norman, David E. Rumelhart, D. Rumelhart, 1981, Cognition.

Advanced computing in psychology

D. Rumelhart, M. Hagen, G. Furnas, 1985 .

Technology. His Current Research Interests In- Clude Neural Computation, Statistical Learning Theory, and Handwriting Recognition. Kwok and Yeung: Constructive Algorithms for Structure Learning \some Approximation Properties of Projection Pursuit Learning Networks," in Advances in Neural Information

R. S. Schechter, Systems, J. Friedman, 1997 .

MSnet: A Neural Network which Classifies Mass Spectra

David E. Rumelhart, D. Rumelhart, Bo U Curry, 1990 .

DESCRIPTORS Adults: *Cognitive Processes: Critical Reading: *Hypothesis Testing: Psychological Studies: *Reading Comprehension: *Reading Processes: *Reading Research: Story Reading IDENTIFIERS Schemata: *Schema Theory

D. Rumelhart, 2007 .

Forecasting Chaotic Computational Ecosystems [1]

David E. Rumelhart, Andreas S. Weigend, Bernardo A. Huberman, 2018, 1990 Lectures in Complex Systems.

An Introduction to Linear Algebra in Parallel Distributed Processing

James L. McClelland, David E. Rumelhart, D. Rumelhart, 1987 .

Neural and Conceptual Interpretation of PDP Models

James L. McClelland, David E. Rumelhart, D. Rumelhart, 1987 .

Perception by monkeys II. Use of cues at a distance by yourg and old monkeys

Roger T. Davis, D. Rumelhart, Arthur Lampert, 1964 .

B-Spline Contour Representation and Symmetry Detection

James L. McClelland, B. L. Kalman, J. L. McClelland, 1993 .

Generalization by Weight-Elimination with Application to Forecasting

David E. Rumelhart, Andreas S. Weigend, Bernardo A. Huberman, 1990, NIPS.

Enhancement of Amphetamine Sulphate Effects by Atropine in a Social Situation

D. Rumelhart, M. R. Mueller, 1963 .

Distributed Representations

Geoffrey E. Hinton, James L. McClelland, David E. Rumelhart, 1986, The Philosophy of Artificial Intelligence.

Toward an interactive model of reading.

David E. Rumelhart, D. Rumelhart, 1994 .

Approaches to Artificial Intelligence

Nils Nilsson, David Rumelhart, D. Rumelhart, 1993 .

Explorations in Learning & Instruction: The Theory Into Practice Database

Donald A. Norman, Robert M. Gagné, Jerome S. Bruner, 2003 .

Implementing neural networks

David E. Rumelhart, Walter J. Savitch, Max Stanford Tomlinson, 1988 .

The appeal of parallel distributed processing

Geoffrey E. Hinton, James L. McClelland, David E. Rumelhart, 1986 .

A Neural Network That Classifies Mass Spectra

David E. Rumelhart, D. Rumelhart, Bo Curry, 2001 .

is achieved. Prior to stabilization, neural networks do not jump around between points in activation space. Stabiliza-tion is the process whereby a network first generates a de-terminate activation pattern, and thereby arrives at a point in activation space

Geoffrey E. Hinton, James L. McClelland, D. Rumelhart, 2004 .

On Evaluating Story Grammars

David E. Rumelhart, D. Rumelhart, 1980, Cogn. Sci..

Somatotopy of the human arm using fMRI

G H Glover, P Servos, D E Rumelhart, 1998, Neuroreport.

Interactive Processing Through Spreading Activation

James L. McClelland, D. Rumelhart, 2017 .

Enlarging the scope: grasping brain complexity

James L. McClelland, J. A. Scott Kelso, Emmanuelle Tognoli, 2013, Front. Syst. Neurosci..

Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations

James L. McClelland, D. Rumelhart, 1986 .

Parallel Distributed Processing: Explorations in the Micro-structure of Cognition

James L. McClelland, D. Rumelhart, James L. McClelland, 2000 .

Parallel Distributed Processing: Explorations in the Microstructures of Cognition

James L. McClelland, D. Rumelhart, Geoffrey Sampson, 1987, Language.

Backpropagation: theory, architectures, and applications

D. Rumelhart, Yves Chauvin, 1995 .

Product Units with Trainable Exponents and Multi-Layer Networks

David E. Rumelhart, Richard Durbin, D. Rumelhart, 1989, NATO Neurocomputing.

Learning internal representations by error propagation

Geoffrey E. Hinton, D. Rumelhart, Ronald J. Williams, 1986 .