DenseNeuroHyperVec

DenseNeuroHyperVec(data, space, label='')

Dense 5D+ neuroimaging hypervector.

Parameters

Name	Type	Description	Default
data	np.ndarray	5D+ data array	required
space	NeuroSpace	5D+ spatial metadata	required
label	str	Label for the hypervector	`''`

Name	Description
apply_feature_func	Apply function across features at each voxel/time.
mean_features	Average across feature dimension.
mean_time_features	Average across both time and feature dimensions.
select_features	Select subset of features.
series	Extract time series for given coordinates.
squeeze_features	Remove single feature dimension.
std_features	Standard deviation across features.
weighted_mean_features	Compute weighted mean across features.

DenseNeuroHyperVec.apply_feature_func(func)

Apply function across features at each voxel/time.

DenseNeuroHyperVec.mean_features()

Average across feature dimension.

DenseNeuroHyperVec.mean_time_features()

Average across both time and feature dimensions.

DenseNeuroHyperVec.select_features(indices)

Select subset of features.

DenseNeuroHyperVec.series(coords, feature=None)

Extract time series for given coordinates.

DenseNeuroHyperVec.squeeze_features()

Remove single feature dimension.

DenseNeuroHyperVec.std_features(time_idx=None)

Standard deviation across features.

Name	Type	Description	Default
time_idx	int	If provided, compute std at specific time point and return NeuroVol	`None`

Name	Type	Description
	DenseNeuroVol or np.ndarray	3D volume if time_idx provided, otherwise 4D array

DenseNeuroHyperVec.weighted_mean_features(weights)

Compute weighted mean across features.

Name	Type	Description	Default
weights	np.ndarray	Weights for each feature	required

Name	Type	Description
	DenseNeuroVec	4D weighted average