Dynamic coordination and segregation mechanisms in higher cortex for parallel task processing

The dataset includes behavioral and neural data from single-task and dual-task performance . Behavioral data contains performance measures from single-task and dual-task conditions. Neural data include activity recorded during single-task and dual-task trials across early, middle, and late stages of dual-task training. Each file contains data from one dual-task training stage for a single animal. Animals are identified as M1, M2, M3, M4, M5, M6, M7, M10. Variables named trial* contain trial-aligned neural activity. Each array has the shape: n_neurons × n_timepoints × n_trials. Neural activity was aligned to Go/No-Go cue onset and extracted from a time window of [-5, 10] seconds relative to cue onset. The imaging frame rate was 15 Hz. The variable ID_active contains the indices of task-responsive neurons identified in single-task and dual-task conditions. Variables named GNG_suc* contain the Go/No-Go behavioral outcome for each corresponding trial in the trial* variables. A value of 1 indicates a successful trial, and a value of 0 indicates a failed trial. The accompanying analysis code includes: Coding direction analysis Generalized linear model analysis Neural network modeling analysis