Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9653492 | Neurocomputing | 2005 | 7 Pages |
Abstract
It has been hypothesized that increasing CS longevity affects performance on trace conditioning. Using a hippocampal model, we find that increasing CS and US longevity increases the learnable trace interval. Our simulations show that, over a modest range, the maximal learnable trace interval is approximately a linear function of CS/US longevity.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Xiangbao Wu, William B Levy,