replay_trajectory_classification.likelihoods.spiking_likelihood_kde.estimate_position_distance#

estimate_position_distance(place_bin_centers: ndarray, positions: ndarray, position_std: ndarray) → ndarray[source]#

Estimates the Euclidean distance between positions and position bins.

Parameters:

place_bin_centers (np.ndarray, shape (n_position_bins, n_position_dims))
positions (np.ndarray, shape (n_time, n_position_dims))
position_std (array_like, shape (n_position_dims,))

Returns:

position_distance

Return type:

np.ndarray, shape (n_time, n_position_bins)