neural networks research group
areas
people
projects
demos
publications
software/data
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.
Publications
None
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Functional Generative Design of Mechanisms with Recurrent Neural Networks and Novelty Search
Cameron R. Wolfe, Cem C. Tutum and Risto Miikkulainen
To Appear In
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2019)
,...
2019
Discovering Gated Recurrent Neural Network Architectures
Aditya Rawal
PhD Thesis, Department of Computer Science, The University of Texas at Austin, Austin, TX 78712, 201...
2018
Evolving Deep LSTM-based Memory networks using an Information Maximization Objective
Aditya Rawal and Risto Miikkulainen
To Appear In
Genetic and Evolutionary Computation Conference (GECCO 2016), Colorado, USA
, 201...
2016
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
Associating Unseen Events: Semantically Mediated Formation of Episodic Associations
Yaron Silberman, Risto Miikkulainen, and Shlomo Bentin
Psychological Science
, 16:161-166, 2005.
2005
Characteristics of Forming Episodic Associations Between Words
Yaron Silberman
PhD Thesis, The Hebrew University of Jerusalem, Israel, 2004.
2004
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
People
None
Shlomo Bentin
Former Collaborator
shlomo bentin [at] huji ac il
Peggy Fidelman
Former Ph.D. Student
peggyf [at] cs utexas edu
Ralph E. Hoffman
Former 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
Projects
None
Neural Network Models of Schizophrenic Language
Since 2003
The Role of Emotion and Communication in Cooperative Behavior
2013 - 2016
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
Demos
None
A Subsymbolic Model of Schizophrenic Language
Uli Grasemann
2010
Software/Data
None
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