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
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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 SciencesS. 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 IntegrationHonavar, 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 LanguageUli Grasemann2010
Labs
Neural Networks