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Increasing CS and US longevity increases the learnable trace interval

delete2005-06-01
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Xiangbao Wu
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William B. Levy
DOI:10.1016/j.neucom.2004.10.020delete
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摘要

摘要

En 中文
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. (c) 2004 Elsevier B.V. All rights reserved.
Keyword:
recurrent networks
sequence learning
trace conditioning
learnable trace interval
hippocampus
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Neurocomputing
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6.5
论文数:
2.5W
被引数:
6.5W

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