replay_trajectory_classification.sorted_spikes_simulation.make_hover_replay#

make_hover_replay(hover_neuron_ind: int | None = None, place_field_means: ndarray = array([0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110, 120, 130, 140, 150, 160, 170, 180]), sampling_frequency: int = 1000) → tuple[ndarray, ndarray][source]#

Make a simulated stationary replay.

Parameters:

hover_neuron_ind (int, optional) – _description_, by default None
place_field_means (np.ndarray, optional) – _description_, by default PLACE_FIELD_MEANS
sampling_frequency (int, optional) – Samples per second

Returns:

replay_time (np.ndarray, shape (n_time,)) – Time in seconds.
test_spikes (np.ndarray, shape (n_time, n_neurons)) – Binned spike indicator. 1 means spike occured. 0 means no spike occured.