Increasing CS and US longevity increases the learnable trace interval

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 appr...

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Bibliographic Details
Published in:Neurocomputing (Amsterdam) 2005, Vol.65, p.283-289
Main Authors: Wu, Xiangbao, B Levy, William
Format: Article
Language:English
Subjects:
Hippocampus
Learnable trace interval
Recurrent networks
Sequence learning
Trace conditioning
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Summary: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.
ISSN:0925-2312
1872-8286
DOI:10.1016/j.neucom.2004.10.020