A recurrent neural network framework for flexible and adaptive decision making based on sequence learning
Fig 4
Task 1: Model training with limited dataset.
Same conventions as in Fig 3. The training dataset contains only 1000 unique sequences. a. The psychometric curve. b. The leverage of each shape on choice. c. Reaction time distribution (bars, right y-axis) and the mean total logLR (lines, left y-axis) at the decision time. Green and red indicate the left and right choices, respectively. d. The leverage of the first 3, the second and third from the last, and the middle shapes on the choice. The error bars in all panels indicate SE across runs. Some error bars are smaller than the data points and not visible.