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add naturalistic memory metrics #116

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andrewheusser opened this issue Jan 31, 2019 · 0 comments
Open

add naturalistic memory metrics #116

andrewheusser opened this issue Jan 31, 2019 · 0 comments

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@andrewheusser
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We developed a few interesting memory metrics for the sherlock paper, which would be relatively easy to port into quail:

  1. Precision: how precisely the recall events match the video events
  • the mean correlation between each recall event and the highest matching video event (can also be computed on a per event basis)
  • code: [np.max(1 - cdist(video_events, r, 'correlation'), 0).mean() for r in recall_events]
  1. Distinctiveness: how distinctive the recall events are from other recall events
  • the mean of the upper triangle of the recall event correlation matrix (can also be computed on a per event basis)
    -code: [1 - np.triu(np.corrcoef(r)).mean() for r in recall_events]
  1. Recall autocorrelation: the rate at which the recall content changes over time
  • the autocorrelation of the recall matrix (not recall event matrix)
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