neurostatsblog

Occasional notes at the intersection of neuroscience, machine learning, and statistics

  1. Bits per Spike as a Betting Game

    Whenever we fit a model to neural or behavioral data, we need to benchmark it against simpler or well-known baselines. Typically this is done by reporting the difference in log-likelihoods on heldout data. For example...

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