PDP Research Group

E548090

PDP Research Group is a collective of cognitive scientists and researchers known for pioneering work on parallel distributed processing and connectionist models of cognition.

All labels observed (1)

Label Occurrences
PDP Research Group canonical 4

How this entity was disambiguated

Statements (59)

Predicate Object
instanceOf collective of cognitive scientists ⓘ
research group ⓘ
approach connectionism ⓘ
neural network modeling of cognition ⓘ
parallel distributed processing ⓘ
associatedWith Carnegie Mellon University ⓘ
linked to: CMU

Carnegie Mellon University Department of Computer Science ⓘ
Carnegie Mellon University Department of Psychology ⓘ
Center for the Neural Basis of Cognition ⓘ
University of California, San Diego ⓘ
University of California, San Diego Department of Cognitive Science ⓘ
contributedTo PDP: Explorations in the Microstructure of Cognition ⓘ
PDP: Explorations in the Microstructure of Cognition, Volume 1: Foundations ⓘ
PDP: Explorations in the Microstructure of Cognition, Volume 2: Psychological and Biological Models ⓘ
field artificial intelligence ⓘ
cognitive science ⓘ
neuroscience ⓘ
psychology ⓘ
hasMember Alan M. Collins ⓘ
Brian MacWhinney ⓘ
David E. Rumelhart ⓘ
David Zipser ⓘ
Geoffrey E. Hinton ⓘ
linked to: Geoffrey Hinton

James A. Anderson ⓘ
James L. McClelland ⓘ
Jay L. McClelland ⓘ
Jeffrey L. Elman ⓘ
John L. Feldman ⓘ
Mark S. Seidenberg ⓘ
Michael I. Jordan ⓘ
Paul Smolensky ⓘ
Peter Dayan ⓘ
Richard C. Zemel ⓘ
Ronald J. Williams ⓘ
Stephen Grossberg ⓘ
Terrence J. Sejnowski ⓘ
linked to: Terrence Sejnowski

Zoubin Ghahramani ⓘ
influenced computational cognitive science ⓘ
deep learning ⓘ
models of language processing ⓘ
models of learning ⓘ
models of memory ⓘ
models of perception ⓘ
modern neural network research ⓘ
knownFor PDP framework in cognitive science ⓘ
connectionist models of cognition ⓘ
distributed representations ⓘ
interactive activation models ⓘ
learning in connectionist networks ⓘ
neural network models of cognition ⓘ
parallel distributed processing ⓘ
researchArea backpropagation learning ⓘ
distributed memory models ⓘ
error-driven learning in cognition ⓘ
language acquisition models ⓘ
learning algorithms for neural networks ⓘ
reading and word recognition models ⓘ
semantic memory models ⓘ
visual perception models ⓘ

How these facts were elicited

Referenced by (4)

Full triples — surface form annotated when it differs from this entity's canonical label.