experanto.interpolators.PhaseShiftedSequenceInterpolator

class PhaseShiftedSequenceInterpolator(root_folder, cache_data=False, keep_nans=False, interpolation_mode='nearest_neighbor', normalize=False, normalize_subtract_mean=False, normalize_std_threshold=None, **kwargs)

Bases: SequenceInterpolator

Sequence interpolator with per-signal phase shifts.

Extends SequenceInterpolator to handle signals recorded with different phase offsets (e.g., neurons with different response latencies). Each signal is interpolated at its own phase-shifted time.

Parameters:

• root_folder (str) – Path to the modality directory. Must contain meta/phase_shifts.npy.

• **kwargs – All parameters from SequenceInterpolator.

_phase_shifts

Per-signal phase shift values in seconds.

Type:

numpy.ndarray

Methods

__init__(root_folder[, cache_data, ...])
close()
create(root_folder[, cache_data])	Factory method to create the appropriate interpolator for a modality.
interpolate(times[, return_valid])	Map an array of time points to interpolated data values.
load_meta()
normalize_data(data)
normalize_init()
valid_times(times)

__init__(root_folder, cache_data=False, keep_nans=False, interpolation_mode='nearest_neighbor', normalize=False, normalize_subtract_mean=False, normalize_std_threshold=None, **kwargs)

interpolate(times, return_valid=False)

Map an array of time points to interpolated data values.

close()

static create(root_folder, cache_data=False, **kwargs)

Factory method to create the appropriate interpolator for a modality.

Reads the meta.yml file in the folder to determine the modality type and instantiates the corresponding interpolator subclass.

Parameters:

• root_folder (str) – Path to the modality directory.

• cache_data (bool, default=False) – If True, loads all data into memory for faster access.

• **kwargs – Additional arguments passed to the interpolator constructor.

Returns:

An instance of the appropriate interpolator subclass.

Return type:

Interpolator

Raises:

ValueError – If the modality type is not supported.

load_meta()

normalize_data(data)

normalize_init()

valid_times(times)