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David E. Rumelhart

Affiliations: 
Stanford University, Palo Alto, CA 
Area:
Neural nets
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"David Rumelhart"
Bio:

David Rumelhart has made many contributions to the formal analysis of human cognition, working primarily within the frameworks of mathematical psychology, symbolic artificial intelligence, and parallel distributed processing. He also admired formal linguistic approaches to cognition and explored the possibility of formulating a formal grammar to capture the structure of stories. In 1986, he published Parallel distributed processing: Explorations in the microstructure of cognition with James McClelland, which some still regard as a bible for cognitive scientists. (From Wikipedia) d. 3/13/11

Mean distance: 12.87 (cluster 15)
 
SNBCP
Cross-listing: PsychTree - MathTree

Children

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Yuko Munakata research assistant 1990-1991 Stanford
Stephen A. Engel grad student Stanford
Dedre Gentner grad student UCSD
Raymond W. Gibbs grad student UCSD
Robert J. Glushko grad student (Computer Science Tree)
Kenneth J Kurtz grad student Stanford
Stephen E. Palmer grad student 1970-1974 UCSD
Arthur Gary Samuel grad student 1979 University of California, San Diego ; Columbia University
Michael I. Jordan grad student 1985 UCSD
Peter Martin Todd grad student 1992 Stanford
Garrison Cottrell post-doc UCSD
Richard Golden post-doc Stanford
Colleen Seifert post-doc UCSD
Philip Servos post-doc 1994-1996 Stanford

Collaborators

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Don Norman collaborator UCSD
James L. McClelland collaborator 1976-1984 UCSD
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Publications

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McClelland JL, Rumelhart DE. (2013) An Interactive Activation Model of Context Effects in Letter Perception: Part I. An Account of Basic Findings Readings in Cognitive Science: a Perspective From Psychology and Artificial Intelligence. 580-596
Rumelhart DE, Hinton GE, Williams RJ. (2013) Learning Internal Representations by Error Propagation Readings in Cognitive Science: a Perspective From Psychology and Artificial Intelligence. 399-421
Rumelhart DE, Smolensky P, McClelland JL, et al. (2013) Schemata and Sequential Thought Processes in PDP Models Readings in Cognitive Science: a Perspective From Psychology and Artificial Intelligence. 224-249
McClelland JL, Rumelhart DE, Hinton GE. (2013) The Appeal of Parallel Distributed Processing Readings in Cognitive Science: a Perspective From Psychology and Artificial Intelligence. 52-72
Servos P, Zacks J, Rumelhart DE, et al. (1998) Somatotopy of the human arm using fMRI. Neuroreport. 9: 605-9
Engel SA, Rumelhart DE, Wandell BA, et al. (1994) fMRI of human visual cortex. Nature. 369: 525
Widrow B, Rumelhart DE, Lehr MA. (1994) Neural networks: applications in industry, business and science Communications of the Acm. 37: 93-105
Rumelhart DE, Widrow B, Lehr MA. (1994) Basic ideas in neural networks Communications of the Acm. 37: 87-92
Franco H, Cohen M, Morgan N, et al. (1994) Context-dependent connectionist probability estimation in a hybrid hidden Markov model-neural net speech recognition system Computer Speech and Language. 8: 211-222
Golden RM, Rumelhart DE. (1993) A Parallel Distributed Processing Model of Story Comprehension and Recall Discourse Processes. 16: 203-237
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