def get_parameter(net, children):
    """Return list of parameter dicts for this type of meta-variable.

    Parameters:
    -----------
    net : dict
        Complete network dictionary containing all nps, sps, plasts, ifs.
    children : list of str
        This list contains the item names of all child items this meta-variable
        is derived from.

    Returns:
    --------
    parameter : list of dict
        List of all parameters for this meta-variables. This list is used to 
        get the parameters at meta-variable instantiation from the user via
        the GUI and is then used for parameterized calculation of the meta-
        variable.
    """
    parameter = []
    # Add window size over which to compute the mean confusion matrix.
    parameter.append({
        "name": "name",
        "type": "string",
        "default": "name"
    })
    parameter.append({
        "name": "window",
        "type": "int",
        "min": 1,
        "max": 2048,
        "default": 8
    })
    parameter.append({
        "name": "nodes",
        "type": "int",
        "min": 4,
        "max": 2048,
        "default": 8
    })
    parameter.append({
        "name": "color",
        "type": "string",
        "min": None,
        "max": None,
        "default": "(200,80,180)"
    })
    parameter.append({
        "name": "stat x",
        "type": "string",
        "min": 0,
        "max": 0,
        "default": "mean"
    })
    parameter.append({
        "name": "stat y",
        "type": "string",
        "min": 0,
        "max": 0,
        "default": "var"
    })
    parameter.append({
        "name": "stat size",
        "type": "string",
        "min": 0,
        "max": 0,
        "default": "max"
    })
    # Return list of parameter.
    return parameter