Extended Data Fig. 10: Inverse dynamics models predict putative single-unit neural activity better than alternative control models and feedback.
From: A virtual rodent predicts the structure of neural activity across behaviours
A-B) Box plots showing the distribution of cross-validated log-likelihood ratios (CV-LLR) relative to mean firing-rate models of GLMs trained to predict spike counts using different feature classes. White lines indicate the median, boxes indicate the interquartile range, and whiskers indicate the 10th and 90th percentiles.
