DelayDirectionClassification

class braintools.cogtask.DelayDirectionClassification(t_fixation=Quantity(300., 'ms'), t_sample=Quantity(500., 'ms'), t_delay=Quantity(1000., 'ms'), t_response=Quantity(500., 'ms'), num_dirs=8, num_categories=2, noise_sigma=Quantity(0., 'ms^0.5'), base_value=0.0, feature_per_direction=1, IfVon=True, kappa=2.0, cue_dim=2, non_response_cue=None, response_cue=None, category_fn=None, **kwargs)

Delayed Direction Classification (DDC).

Fixation >> Sample(direction) >> Delay >> Response(classification)

• Stimulus: discrete direction index in [0, num_dirs-1]

• Category: computed from direction index (default: equal-sized bins)

• Output: categorical labels via ‘label’ (1..num_categories) in Response phase

define_features()

Define input and output features.

Override in subclass for class-based task definition.

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.