Memory
Episodic memory is the record of events that the individual experiences throughout his/her/its life. The events are stored temporarily in the hippocampus and related areas immediately as they happen, and over days and weeks, transferred to other locations for permanent storage. Associative memory involves learning in shorter time-scales and can be readily studied in behavioral experiments in the laboratory. Our research involves trying to understand the structure, capacity, and memory effects through computational modeling, mathematical analysis, and neuroimaging.
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Modeling Acute and Compensated Language Disturbance in Schizophrenia Uli Grasemann, Ralph Hoffman and Risto Miikkulainen In Proceedings of the 33rd Annual Meeting of the Cognitive Science Society, 2011. 2011

Behavioral, neuroimaging, and computational evidence for perceptual caching in repetition priming Manish Saggar, Risto Miikkulainen, David Schnyer Journal of Brain Research, 1315:75--91, 2010. 2010

Memory Processes in Perceptual Decision Making Manish Saggar, Risto Miikkulainen, David M Schnyer In Proceedings of the 30th Annual Conference of the Cognitive Science Society, Nashville, TN,... 2008

A Subsymbolic Model of Language Pathology in Schizophrenia Uli Grasemann, Risto Miikkulainen, Ralph Hoffman In Proceedings of the 29th Annual Conference of the Cognitive Science Society, 311-316, Hill... 2007

Semantic Boost on Episodic Associations: An Empirically Based Computational Model Yaron Silberman, Shlomo Bentin, and Risto Miikkulainen Cognitive Science, 31:645--671, 2007. 2007

Text and Discourse Understanding: The DISCERN System Risto Miikkulainen In R. Dale, H. Moisl and H. Somers, editors, A Handbook of Natural Language Processing: Technique... 2002

Semantic Effect On Episodic Associations Yaron Silberman, Risto Miikkulainen, and Shlomo Bentin In Proceedings of the 23rd Annual Conference of the Cognitive Science Society, 934-939, 2001... 2001

Internally-Generated Activity, Non-Episodic Memory, and Emotional Salience in Sleep James A. Bednar In S. Harnad and E. Pace-Schott and M. Blagrove and M. Solms, editors, Sleep and Dreaming: Scient... 2000

Hebbian Learning And Temporary Storage In The Convergence-Zone Model Of Episodic Memory Michael Howe and Risto Miikkulainen Neurocomputing, 32--33:817--821, 2000. Also J. M. Bower (editor), Computational Neuroscience:... 2000

Convergence-Zone Episodic Memory: Analysis And Simulations Mark Moll and Risto Miikkulainen Neural Networks, 10:1017--1036, 1997. 1997

Script-Based Inference And Memory Retrieval In Subsymbolic Story Processing Risto Miikkulainen Applied Intelligence:137-163, 1995. 1995

The Capacity Of Convergence-Zone Episodic Memory Mark Moll, Risto Miikkulainen, Jonathan Abbey In Proceedings of the Twelfth National Conference on Artificial Intelligence (AAAI-94), 68-73... 1994

Integrated Connectionist Models: Building AI Systems on Subsymbolic Foundations Risto Miikkulainen Honavar, V., and Uhr, L., editors, Artificial Intelligence and Neural Networks: Steps Toward Prin... 1994

Subsymbolic Natural Language Processing: An Integrated Model Of Scripts, Lexicon, And Memory Risto Miikkulainen , Cambridge, MA, 1993. MIT Press. 1993

Trace Feature Map: A Model Of Episodic Associative Memory Risto Miikkulainen Biological Cybernetics, 66:273--282, 1992. 1992

DISCERN: A Distributed Artificial Neural Network Model Of Script Processing And Memory Risto Miikkulainen PhD Thesis, University of California, 1990. 334. 1990

Jonathan Abbey Undergraduate Alumni jonabbey [at] arlut utexas edu
Shlomo Bentin Collaborator shlomo bentin [at] huji ac il
Peggy Fidelman Former Ph.D. Student
Ralph E. Hoffman Collaborator ralph hoffman [at] yale edu
Michael Howe Undergraduate Alumni
Risto Miikkulainen Faculty risto [at] cs utexas edu
Mark Moll Former Visitor "last name" at isi edu
Yaron Silberman Ph.D. Alumni yarons [at] alice nc huji ac il
Dasa Zeithamova Former Collaborator zeithamova [at] mail utexas edu
HFM The HFM package contains the C-code and data for training and testing the HFM memory organization and hierarchical class... 1994

DISCERN DISCERN is a large, modular neural network system for reading, paraphrasing and answering questions about stereotypical ... 1993