replay_trajectory_classification.sorted_spikes_simulation.make_theta_sweep#

make_theta_sweep(sampling_frequency: int = 1000, n_sweeps: int = 5) → tuple[ndarray, ndarray][source]#

Simulate theta sweeping

Parameters:

sampling_frequency (int, optional) – Samples per second
n_sweeps (int, optional) – Number of sweeps to simulate, by default 5

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.