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SAMPL: The Spreading Activation and Memory PLasticity Model

View ORCID ProfileBeau Sievers, View ORCID ProfileIda Momennejad
doi: https://doi.org/10.1101/778563
Beau Sievers
1Department of Psychology, Harvard University
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Ida Momennejad
2Department of Biomedical Engineering, Columbia University
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  • For correspondence: im2539@columbia.edu
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Abstract

We present the Spreading Activation and Memory PLasticity Model (SAMPL), a computational model of how memory retrieval changes memories. SAMPL restructures memory networks as a function of spreading activation and plasticity. Memory networks are represented as graphs of items in which edge weights capture the strength of association between items. When an item is retrieved, activation spreads across nodes depending on edge weights and the strength of initial activation. A non-monotonic plasticity rule, in turn, updates edge weights following activation. SAMPL simulates human memory phenomena across a number of experiments including retrieval induced forgetting, context-based memory enhancement, and memory synchronization in conversational networks. Our results have implications for theorizing memory disorders such as PTSD and designing computationally assisted conversational therapy.

Footnotes

  • SAMPL code is available per request, and will be made publicly available on GitHub.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted September 23, 2019.
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SAMPL: The Spreading Activation and Memory PLasticity Model
Beau Sievers, Ida Momennejad
bioRxiv 778563; doi: https://doi.org/10.1101/778563
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SAMPL: The Spreading Activation and Memory PLasticity Model
Beau Sievers, Ida Momennejad
bioRxiv 778563; doi: https://doi.org/10.1101/778563

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