Skip to content
SAMPL: The Spreading Activation and Memory PLasticity Model
Jupyter Notebook Python
Branch: master
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
data
grid_search_results
notebooks
sampl
.gitignore
LICENSE
README.md
figure_github.png
requirements.txt

README.md

SAMPL: The Spreading Activation and Memory PLasticity Model

SAMPL conceptual figure

Authors

Beau Sievers1, Ida Momennejad2

1 Department of Psychology, Harvard University, Cambridge, MA 02138

2 Department of Biomedical Engineering, Columbia University, New York, NY 10027

About

This repository contains code for running the simulations and analyses described in the paper "SAMPL: The Spreading Activation and Memory PLasticity Model," available at: https://www.biorxiv.org/content/10.1101/778563v1

This repository does NOT contain the word2vec embedding of the Google News Dataset, which is required to run the Anderson, Bjork, and Bjork (1994) and two-agent memory convergence simulations. Before running these simulations, place the Google News embedding file in the /data directory.

Requirements

All code was tested on Mac OS 10.14.6. Library requirements are listed in requirements.txt.

File structure

  • /sampl: code implementing the SAMPL model
  • /sampl/parameter_search_all.py: code for running parallelized grid search
  • /grid_search_results: cached results from grid search (to save time)
  • /notebooks: Jupyter notebooks for running simulations and plotting results
  • /data: place the word2vec embedding of the Google News dataset here

Citation

Sievers, B., Momennejad, I., (2019, September 23). SAMPL: The Spreading Activation and Memory PLasticity Model. Retrieved from https://www.biorxiv.org/content/10.1101/778563v1

License

This software is made available under a BSD-style license. See the LICENSE file.

Last updated

This document was last updated on September 23, 2019.

You can’t perform that action at this time.