def find_following_duplicates(array):
    """
    Find the duplicates that are following themselves.

    Parameters
    ----------
    array :  list or ndarray
        A list containing duplicates.

    Returns
    ----------
    uniques : list
        A list containing True for each unique and False for following duplicates.

    Example
    ----------
    >>> import neurokit as nk
    >>> mylist = ["a","a","b","a","a","a","c","c","b","b"]
    >>> uniques = nk.find_following_duplicates(mylist)
    >>> indices = np.where(uniques)  # Find indices of uniques

    Notes
    ----------
    *Authors*

    - `Dominique Makowski <https://dominiquemakowski.github.io/>`_

    *Dependencies*

    - numpy
    """
    array = array.copy()


    uniques = []
    for i in range(len(array)):
        if i == 0:
            uniques.append(True)
        else:
            if array[i] == array[i-1]:
                uniques.append(False)
            else:
                uniques.append(True)

    return(uniques)