UTCS Artificial Intelligence
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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.
People
Shlomo Bentin
Formerly affiliated Collaborator
shlomo bentin [at] huji ac il
Peggy Fidelman
Formerly affiliated Ph.D. Student
peggyf [at] cs utexas edu
Ralph E. Hoffman
Formerly affiliated Collaborator
ralph hoffman [at] yale edu
Michael Howe
Undergraduate Alumni
Risto Miikkulainen
Faculty
risto [at] cs utexas edu
Mark Moll
Formerly affiliated Visitor
"last name" at isi edu
Yaron Silberman
Ph.D. Alumni
yarons [at] alice nc huji ac il
Dasa Zeithamova
Formerly affiliated Collaborator
zeithamova [at] mail utexas edu
Publications
[Expand to show all 21]
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Functional Generative Design of Mechanisms with Recurrent Neural Networks and Novelty Search
2019
Cameron R. Wolfe, Cem C. Tutum and Risto Miikkulainen, To Appear In
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2019)
, pp. 7, Prague, Czech Republic, July 2019.
Discovering Gated Recurrent Neural Network Architectures
2018
Aditya Rawal, PhD Thesis, Department of Computer Science, The University of Texas at Austin.
Evolving Deep LSTM-based Memory networks using an Information Maximization Objective
2016
Aditya Rawal and Risto Miikkulainen, To Appear In
Genetic and Evolutionary Computation Conference (GECCO 2016), Colorado, USA
2016.
Modeling Acute and Compensated Language Disturbance in Schizophrenia
2011
Uli Grasemann, Ralph Hoffman and Risto Miikkulainen, In
Proceedings of the 33rd Annual Meeting of the Cognitive Science Society
2011.
Behavioral, neuroimaging, and computational evidence for perceptual caching in repetition priming
2010
Manish Saggar, Risto Miikkulainen, David Schnyer,
Journal of Brain Research
, Vol. 1315 (2010), pp. 75--91.
Memory Processes in Perceptual Decision Making
2008
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
2007
Uli Grasemann, Risto Miikkulainen, Ralph Hoffman, In
Proceedings of the 29th Annual Conference of the Cognitive Science Society
, pp. 311-316, Hillsdale, NJ 2007. Erlbaum.
Semantic Boost on Episodic Associations: An Empirically Based Computational Model
2007
Yaron Silberman, Shlomo Bentin, and Risto Miikkulainen,
Cognitive Science
, Vol. 31 (2007), pp. 645--671.
Associating Unseen Events: Semantically Mediated Formation of Episodic Associations
2005
Yaron Silberman, Risto Miikkulainen, and Shlomo Bentin,
Psychological Science
, Vol. 16 (2005), pp. 161-166.
Characteristics of Forming Episodic Associations Between Words
2004
Yaron Silberman, PhD Thesis, The Hebrew University of Jerusalem.
Text and Discourse Understanding: The DISCERN System
2002
Risto Miikkulainen, In
A Handbook of Natural Language Processing: Techniques and Applications for the Processing of Language as Text
, R. Dale, H. Moisl and H. Somers (Eds.), pp. 905--919, New York 2002.
Semantic Effect On Episodic Associations
2001
Yaron Silberman, Risto Miikkulainen, and Shlomo Bentin, In
Proceedings of the 23rd Annual Conference of the Cognitive Science Society
, pp. 934-939 2001.
Hebbian Learning And Temporary Storage In The Convergence-Zone Model Of Episodic Memory
2000
Michael Howe and Risto Miikkulainen,
Neurocomputing
, Vol. 32--33 (2000), pp. 817--821. Also J. M. Bower (editor), Computational Neuroscience: Trends in Research, 2000 (CNS*99, Pittsburgh, PA). New York: Plenum Press..
Internally-Generated Activity, Non-Episodic Memory, and Emotional Salience in Sleep
2000
James A. Bednar,
Behavioral and Brain Sciences
S. Harnad and E. Pace-Schott and M. Blagrove and M. Solms (Eds.) (2000), pp. 119-120. Cambridge University Press. Commentary on the 'Sleep and Dreaming' issue..
Convergence-Zone Episodic Memory: Analysis And Simulations
1997
Mark Moll and Risto Miikkulainen,
Neural Networks
, Vol. 10 (1997), pp. 1017--1036.
Script-Based Inference And Memory Retrieval In Subsymbolic Story Processing
1995
Risto Miikkulainen,
Applied Intelligence
(1995), pp. 137-163.
Integrated Connectionist Models: Building AI Systems on Subsymbolic Foundations
1994
Risto Miikkulainen,
Artificial Intelligence and Neural Networks: Steps Toward Principled Integration
Honavar, V., and Uhr, L. (Eds.) (1994), pp. 483--508.
The Capacity Of Convergence-Zone Episodic Memory
1994
Mark Moll, Risto Miikkulainen, Jonathan Abbey, In
Proceedings of the Twelfth National Conference on Artificial Intelligence (AAAI-94)
, pp. 68-73, Seattle, WA 1994. Cambridge, MA: MIT Press.
Subsymbolic Natural Language Processing: An Integrated Model Of Scripts, Lexicon, And Memory
1993
Risto Miikkulainen, , MIT Press, Cambridge, MA 1993. MIT Press.
Trace Feature Map: A Model Of Episodic Associative Memory
1992
Risto Miikkulainen,
Biological Cybernetics
, Vol. 66 (1992), pp. 273--282.
DISCERN: A Distributed Artificial Neural Network Model Of Script Processing And Memory
1990
Risto Miikkulainen, PhD Thesis, University of California. 334.
Projects
The Role of Emotion and Communication in Cooperative Behavior
2013 - 2016
Neural Network Models of Schizophrenic Language
2003 - Present
Semantic Effect on Episodic Associations
1998 - 2002
Structure and Capacity of Hippocampal Memory: The Convergence-Zone model
1994 - 2000
Storing Information on Maps: The Trace Feature Map Model
1990 - 1994
Software/Data
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
Demos
A Subsymbolic Model of Schizophrenic Language
Uli Grasemann
2010
Labs
Neural Networks