### Window Settings Configuration

Source: https://github.com/taskbeacon/mid/blob/main/README.md

Specifies the visual display parameters for the PsychoPy window, including screen resolution, units, background color, and monitor properties.

```APIDOC
WindowSettings:
  # Configuration for the PsychoPy display window.
  # Parameters:
  #   size: [width, height] in pixels (e.g., [1920, 1080]).
  #   units: Display units (e.g., 'deg' for degrees of visual angle).
  #   screen: The display screen index to use (e.g., 0 for primary, 1 for secondary).
  #   bg_color: Background color of the window (e.g., 'gray').
  #   fullscreen: Boolean, whether to run in fullscreen mode (True/False).
  #   monitor_width_cm: Physical width of the monitor in centimeters.
  #   monitor_distance_cm: Distance from the participant to the monitor in centimeters.
```

--------------------------------

### Adaptive Controller Logic

Source: https://github.com/taskbeacon/mid/blob/main/README.md

Details the parameters governing the adaptive timing algorithm used to adjust target durations based on participant performance.

```APIDOC
ControllerLogic:
  # Parameters for the adaptive duration controller.
  # Features:
  #   Adaptive Duration: Target duration adjusts between a minimum and maximum range (e.g., 0.04 to 0.37 seconds).
  #   Step Size: The increment/decrement applied to duration based on performance (e.g., +/- 0.03 seconds).
  #   Accuracy Target: The desired accuracy threshold to maintain task difficulty (e.g., 66%).
  #   Condition Specific: Performance is tracked and adjusted separately for each condition (win/lose/neutral).
  #   Logging: Performance logs are printed to the PsychoPy console for monitoring.
```

--------------------------------

### Subject Information Schema

Source: https://github.com/taskbeacon/mid/blob/main/README.md

Defines the schema for collecting subject demographic and identification data required for the task. Includes fields for unique participant ID, name, age, and gender.

```APIDOC
SubjectInfo:
  # Schema for collecting participant details.
  # Parameters:
  #   subject_id: Unique participant number (101–999, 3 digits).
  #   subname: Participant name (pinyin).
  #   age: Participant age (5–60).
  #   gender: Participant gender (Male/Female).
```

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