Fig. 2: Subject alignment and prediction of avoidance actions.
From: Population-level coding of avoidance learning in medial prefrontal cortex
a, Illustration of the neuronal subspace alignment procedure across animals (see Extended Data Fig. 6 for details). b, Schematic representation of the decoding approach to predict avoidance behavior from mPFC neuronal activity. For each time step (t1, t2, etc.), an individual decoder (D1 to Dt) was trained to predict the trial outcome (avoid or error). c, Decoding accuracies across time for decoding of avoid versus error trials (AV, black) and ITI shuttles versus random ITI periods (ITI, magenta; mean and 95% CIs for 80 repetitions of the analysis using different samples of trials; Methods). Black bar indicates significant differences between the AV and ITI settings based on nonoverlapping CIs. d, Same as c, but for decoders trained using the animals’ speed extracted from video tracking data.
