Neural Network Modeling and Connectionism

An attempt to publish the best research on computational cognitive science, with particular emphasis on connectionist and neural network models. Though The MIT Press continues to publish work in this evolving area of research, this series is no longer active.

Series editor: Jeffrey Elman

Neural Computation of Pattern Motion

Neural Computation of Pattern Motion

Margaret Euphrasia Sereno

Jul 01, 2008

Analogy-Making as Perception

Analogy-Making as Perception

Melanie Mitchell

Jan 01, 2003

Rethinking Innateness

Rethinking Innateness

Jeffrey Elman, Elizabeth Bates, Mark H. Johnson, Annette Karmiloff-Smith, Domenico Parisi, Kim Plunkett

Jan 23, 1998

Exercises in Rethinking Innateness

Exercises in Rethinking Innateness

Kim Plunkett, Jeffrey Elman

Apr 15, 1997

Rethinking Innateness

Rethinking Innateness

Elizabeth Bates, Jeffrey Elman, Mark H. Johnson, Annette Karmiloff-Smith, Domenico Parisi, Kim Plunkett

Oct 15, 1996

The Human Semantic Potential

The Human Semantic Potential

Terry Regier

Aug 29, 1996

Neural Networks for Control

Neural Networks for Control

W. Thomas, Miller III, Richard S. Sutton, Paul J. Werbos

Mar 02, 1995

Subsymbolic Natural Language Processing

Subsymbolic Natural Language Processing

Risto Miikkulainen

May 20, 1993

Mechanisms of Implicit Learning

Mechanisms of Implicit Learning

Axel Cleeremans

Apr 13, 1993

Neural Network Design and the Complexity of Learning

Neural Network Design and the Complexity of Learning

J. Stephen Judd

Apr 06, 1990

Connectionist Modeling and Brain Function

Connectionist Modeling and Brain Function

Stephen José Hanson, Carl R. Olson

Apr 06, 1990