replay_trajectory_classification.likelihoods.spiking_likelihood_glm.estimate_spiking_likelihood#

estimate_spiking_likelihood(spikes: ndarray, conditional_intensity: ndarray, is_track_interior: ndarray | None = None) → ndarray[source]#
Parameters:

  • spikes (np.ndarray, shape (n_time, n_neurons))

  • conditional_intensity (np.ndarray, shape (n_bins, n_neurons))

  • is_track_interior (None or np.ndarray, optional, shape (n_x_position_bins,) – n_y_position_bins)

Returns:

likelihood

Return type:

np.ndarray, shape (n_time, n_bins)