replay_trajectory_classification.likelihoods.calcium_likelihood.estimate_calcium_place_fields#

estimate_calcium_place_fields(position: ndarray, calcium_activity: ndarray, place_bin_centers: ndarray, place_bin_edges: ndarray, penalty: float = 0.1, knot_spacing: int = 10) → DataArray[source]#

Gives the conditional intensity of the neurons’ spiking with respect to position.

Parameters:

  • position (np.ndarray, shape (n_time, n_position_dims))

  • calcium_activity (np.ndarray, shape (n_time, n_neurons)) – Deconvolved activity rate estimated from the fluorescence level.

  • place_bin_centers (np.ndarray, shape (n_bins, n_position_dims))

  • place_bin_edges (np.ndarray, shape (n_bins + 1, n_position_dims))

  • penalty (float, optional)

  • knot_spacing (int, optional)

Returns:

conditional_intensity

Return type:

xr.DataArray, shape (n_bins, n_neurons)