Abstract
In this work we build a computational model of several auditory perceptual learning experiments. The modeled experiments show a pattern of learning interference which may help shed light on the structure of both short and long term stores of perceptual memory. It is our hypothesis that the observed interference patterns can be explained by the relationship of stimuli across tasks and how these relationships interact with the limits of human memory. We account for the fact that information is shared across tasks in our model through use of methodology from the machine learning community on transfer learning. When we introduce a set of plausible limits on memory, such a model demonstrates the same pattern of learning interference observed in the human experiments.
Original language | English (US) |
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Title of host publication | Expanding the Space of Cognitive Science - Proceedings of the 33rd Annual Meeting of the Cognitive Science Society, CogSci 2011 |
Editors | Laura Carlson, Christoph Hoelscher, Thomas F. Shipley |
Publisher | The Cognitive Science Society |
Pages | 1031-1036 |
Number of pages | 6 |
ISBN (Electronic) | 9780976831877 |
State | Published - 2011 |
Event | 33rd Annual Meeting of the Cognitive Science Society: Expanding the Space of Cognitive Science, CogSci 2011 - Boston, United States Duration: Jul 20 2011 → Jul 23 2011 |
Publication series
Name | Expanding the Space of Cognitive Science - Proceedings of the 33rd Annual Meeting of the Cognitive Science Society, CogSci 2011 |
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Conference
Conference | 33rd Annual Meeting of the Cognitive Science Society: Expanding the Space of Cognitive Science, CogSci 2011 |
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Country/Territory | United States |
City | Boston |
Period | 7/20/11 → 7/23/11 |
Funding
We would like to thank the anonymous reviewers of our draft manuscript, Mark Cartwright, Zhiyao Duan, Jinyu Han, Eric Hoover, Andrew Lovett, Alex Madjar, Nicole Marrone, Zafar Rafii, Andy Sabin and Matthew Waggenspack for their helpful feedback. This research was supported, in part, by North-western University’s Cognitive Science program and by US National Science Foundation grant 0643752. We would like to thank the anonymous reviewers of our draft manuscript, Mark Cartwright, Zhiyao Duan, Jinyu Han, Eric Hoover, Andrew Lovett, Alex Madjar, Nicole Marrone, Zafar Rafii, Andy Sabin and Matthew Waggenspack for their helpful feedback. This research was supported, in part, by Northwestern University’s Cognitive Science program and by US National Science Foundation grant 0643752.
Keywords
- Acquisition
- Consolidation
- Learning Interference
- Perceptual Learning
- Perceptual Memory
- Transfer Learning
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Science Applications
- Human-Computer Interaction
- Cognitive Neuroscience