ReadySetGo

class braintools.cogtask.ReadySetGo(t_ready=Quantity(500., 'ms'), t_set=Quantity(500., 'ms'), t_interval=(Quantity(400., 'ms'), Quantity(800., 'ms')), t_response_max=Quantity(1000., 'ms'), gain=1.0, **kwargs)

Ready-Set-Go timing task.

Agent must produce an interval matching a measured interval. Ready cue, then Set cue after interval T, then agent produces interval T.

Structure: Ready >> Interval >> Set >> Production

Parameters:

• t_ready (Quantity) – Ready cue duration (default: 500ms).

• t_set (Quantity) – Set cue duration (default: 500ms).

• t_interval (tuple) – (min, max) for measured interval (default: (400ms, 800ms)).

• t_response_max (Quantity) – Maximum production time (default: 1000ms).

• gain (float) – Production = gain * measured interval (default: 1.0).

• seed (int, optional) – Random seed.

Examples

>>> task = ReadySetGo()
>>> X, Y, info = task.sample_trial(0)

define_features()

Define input and output features.

Override in subclass for class-based task definition.

Return type:

Tuple

Returns:

• input_features (Feature or FeatureSet) – Input feature definitions.

• output_features (Feature or FeatureSet) – Output feature definitions.

define_phases()

Define the phase structure.

Override in subclass for class-based task definition.

Returns:

The task phase structure (single phase or composition).

Return type:

Phase

trial_init(ctx)

Initialize trial-level state.

Override in subclass to set up trial parameters like ground_truth, stimulus indices, etc.

Parameters:

ctx (Context) – Trial context to populate with state.

Return type:

None