Efficient learning free recall dataset
Dataset
Free recall data from a bunch of different free recall variants. Download link.
Things to do
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Bayesian version of TCM, like this one
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Maybe add a multiple timescales component?
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Predict:
- Which words are recalled overall
- Clustering (memory fingerprints)
- Individual recalls
- Thought trajectories
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could also model this dataset-- Howard, M. W. and Kahana, M. J. (1999). Contextual variability and serial position effects in free recall. Journal of Experimental Psychology: Learning, Memory, and Cognition, 25(4), 923–941.
Could also model multi-list data, e.g. this dataset (Lohnas, L. J., Polyn, S. M., and Kahana, M. (2015). Expanding the scope of memory search: Intralist and interlist effects in free recall. Psychological Review, 122(2), 337-363.)
@KirstensGitHub's idea during lab meeting: show a single image and then model recalls unfolding in time (static stimulus, time-varying recall)