tuning_curve

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tuning_curve#

class braintools.visualize.tuning_curve(stimulus, response, bins=20, error_bars=True, fit_curve=None, ax=None, figsize=(10, 6), color='blue', alpha=0.7, xlabel='Stimulus', ylabel='Response', title=None, **kwargs)#

Plot tuning curve showing response vs stimulus.

Parameters:

  • stimulus (ndarray) – Stimulus values.

  • response (ndarray) – Neural response values.

  • bins (int | ndarray) – Number of bins or bin edges for averaging.

  • error_bars (bool) – Whether to show error bars (SEM).

  • fit_curve (str | None) – Type of curve to fit: ‘gaussian’, ‘polynomial’.

  • ax (Axes | None) – Axes to plot on.

  • figsize (Tuple[float, float]) – Figure size if creating new figure.

  • color (str) – Plot color.

  • alpha (float) – Alpha transparency.

  • xlabel (str) – Axis labels and title.

  • ylabel (str) – Axis labels and title.

  • title (str | None) – Axis labels and title.

  • **kwargs – Additional arguments passed to plot.

Returns:

ax – The axes object containing the plot.

Return type:

Axes

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