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Trace Feature Map: A Model Of Episodic Associative Memory (1992)
Risto Miikkulainen
An approach to episodic associative memory is presented, which has several desirable properties as a human memory model. The design is based on topological feature map representation of data. An ordinary feature map is a classifier, mapping an input vector onto a topologically meaningful location on the map. A trace feature map, in addition, creates a memory trace on that location. The traces can be stored episodically in a single presentation, and retrieved with a partial cue. Nearby traces overlap, which results in plausible memory interference behavior. Performance degrades gracefully as the memory is overloaded. More recent traces are easier to recall as are traces that are unique in the memory.
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Citation:
Biological Cybernetics
, Vol. 66 (1992), pp. 273--282.
Bibtex:
@article{miikkulainen:bc92, title={Trace Feature Map: A Model Of Episodic Associative Memory}, author={Risto Miikkulainen}, volume={66}, journal={Biological Cybernetics}, pages={273--282}, url="http://www.cs.utexas.edu/users/ai-lab?miikkulainen:bc92", year={1992} }
People
Risto Miikkulainen
Faculty
risto [at] cs utexas edu
Areas of Interest
Cognitive Science
Computational Neuroscience
Memory
Natural Language Processing (Cognitive)
Labs
Neural Networks