Temporal progression along discrete coding states during decision-making in the mouse gustatory cortex
Fig 7
Effect of simulated optogenetic silencing on network activity.
A: HMM-decoded states for a network subjected to various simulated optogenetic perturbation conditions. Silencing time courses for each condition are shown at the top of each column; decoded states over all 100 trials for each condition are shown below. Trials are ordered in stimulus blocks from bottom to top (S: sucrose, M: maltose, Q: quinine, O: octaacetate) and are ordered in outcome blocks within each stimulus block from bottom to top (correct, incorrect, omitted; incorrect and omitted trials are indicated by black and grey shading, respectively, on the left-hand side). B: Average state sequence similarities over time. For each silencing condition in A, the corresponding curve represents how similar the state sequence is (on average) to the state sequence obtained under control (i.e., under no silencing). Each raw similarity score (ranging from 0 to 1) was normalized by the score obtained by comparing the control condition with itself (see Materials and methods for details, Eq 5). C: Numbers of trials out of 100 for each condition (W: Weak, S: Strong, B: Beginning, C: Cue onset, M: Middle) that contain correct, incorrect, or no Action-coding states, based on a coding state classification of the states from A. Action-coding states are considered correct or incorrect in each trial based on whether their direction preference (in correct trials) matches that trial’s correct direction. * indicates significant difference vs. control in fraction of trials with correct Action-coding states (Chi-squared test across conditions, followed by pairwise Marascuilo post-hoc with α = 0.05).