Model Fitting

Model fitting estimates BCI parameters from behavioral data. The toolbox supports discrete-response and continuous-response datasets, strategy comparison, batch fitting, result visualization, and export.

Choose the fitting workflow that matches the response format in your experiment:

Discrete fitting

Use when participants choose from predefined response categories, such as reporting one of several possible numbers of flashes or beeps.

Continuous fitting

Use when participants report freely on a continuous scale, such as spatial location or temporal position.

Other settings

Review shared controls such as simulation count, strategy choice, parameter bounds, and output options.

For two-dimensional experiments, see 2D GUI Tutorial.

• Discrete Fitting
  • Introduction
  • Navigate
  • Details
  • Examples
• Continuous Fitting
  • Introduction
  • Navigate
  • Details
  • Examples
• Other Settings
  • Introduction
  • Navigate
  • Details