neural networks research group
areas
demos
people
projects
publications
software
Cognitive Science
Our research in Cognitive Science aims to better understand human development and learning through computational modeling. We have active projects in Natural Language Processing, Schema Learning, Episodic Memory, Perceptual Grouping, Face Detection, and Hi-Level Concept Acquisition. Our models are applied to applications in neuroscience, biology, linguistics, psychology and education. Details of our projects in each of these areas can be found in the links below.
People
1-20
21-23
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Nora E. Aguirre-Celis
James A. Bednar
Bobby Bryant
Yoonsuck Choe
Judah De Paula
Igor Farkas
Peggy Fidelman
Uli Grasemann
Elizabeth C. Kaczmarczyk
Igor Karpov
Wee Kheng Leow
Marshall R. Mayberry, III
Risto Miikkulainen
Jefferson Provost
Manish Saggar
Yaron Silberman
Joseph Sirosh
Rick Tanney
Tal Tversky
Vinod Valsalam
Publications
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11-15
16-20
21-25
26-30
31-35
36-40
41-45
46-50
51-55
56-60
61-65
66-70
71-75
76-80
81-85
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Incremental Nonmonotonic Sentence Interpretation through Semantic Self-Organization
(2008)
Memory Processes in Perceptual Decision Making
(2008)
Category Learning Systems
(2008)
Developing Complex Systems Using Evolved Pattern Generators
(2007)
A computational model of the motivation-learning interface
(2007)
Projects
Neural Network Models of Schizophrenic Language
Acquisition of Intellectual Expertise
CLA: The Constructivist Learning Architecture
Software
DISCERN
MIR Sentence Processing Package
LISSOM
PROC
PGLISSOM
HFM
FGREPNET
DISLEX
SPEC
Demos
A Subsymbolic Model of Schizophrenic Language
INSOMNet Demo and package