replay_trajectory_classification.simulate.simulate_multiunit_with_place_fields#

simulate_multiunit_with_place_fields(place_means: ndarray, position: ndarray, mark_spacing: int = 5, n_mark_dims: int = 4, place_variance: float = 36.0, mark_variance: float = 1.0, max_rate: float = 100.0, sampling_frequency: int = 1000, is_condition: ndarray | None = None) → ndarray[source]#

Simulates a multiunit with neurons at place_means

Parameters:

  • place_means (np.ndarray, shape (n_neurons, n_position_dims))

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

  • mark_spacing (int, optional)

  • n_mark_dims (int, optional)

  • place_variance (float)

  • max_rate (float)

  • sampling_frequency (int)

  • is_condition (np.ndarray or None)

Returns:

multiunit

Return type:

np.ndarray, shape (n_time, n_mark_dims)