Decoding decision-making behavior from sparse neural spiking activity
Fig 8
Behavioral performance and neural decoding across probability conditions.
Analysis of reaction times, accuracy, and model performance for different stimulus probability conditions (P(Left) = 0.2, 0.5, 0.8) in a perceptual decision-making task. A. Mean reaction times for behaviorally correct (blue) and behaviorally incorrect (orange) trials across probability conditions. B. Mean reaction times for model-predicted correct and model-predicted incorrect trials by probability condition. Significant differences between trial types are marked with asterisks. C. Model prediction accuracy across probability conditions. D. Neural decoder performance (ROC AUC) for each probability condition. E. Reaction time histograms overlaid by model prediction outcome and probability condition, showing distributional differences between model-predicted correct and incorrect responses.