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incorporate chris's event segmentation model as a preprocessing step for naturalistic stimuli #101

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andrewheusser opened this issue May 15, 2018 · 1 comment

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andrewheusser commented May 15, 2018

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andrewheusser commented May 15, 2018

we could have a find_events function or method that takes an egg and returns a new egg that is segmented into events.

if k is passed, use that value, otherwise infer it from some function - default: the average within event correlation divided by the average across event correlation + a penalty term
other model params?

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