replay_trajectory_classification.sorted_spikes_simulation.make_fragmented_replay

make_fragmented_replay(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]

Make a simulated fragmented replay.

Parameters:

• 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.