def __init__(self, parameters, full_datastore,replace=False): ParametrizedObject.__init__(self, parameters) # we will hold the recordings as one neo Block self.block = Block() self.analysis_results = [] self.replace = replace self.sensory_stimulus = collections.OrderedDict() self.full_datastore = full_datastore # should be self if actually the
def __init__(self, parameters, full_datastore, replace=False): ParametrizedObject.__init__(self, parameters) # we will hold the recordings as one neo Block self.block = Block() self.analysis_results = [] self.replace = replace self.sensory_stimulus = collections.OrderedDict() self.full_datastore = full_datastore # should be self if actually the
def __init__(self, sheet, parameters): ParametrizedObject.__init__(self, parameters) self.sheet = sheet
def __init__(self, params): ParametrizedObject.__init__(self, params) self.content = OrderedDict() self.input = None
def __init__(self, parameters): ParametrizedObject.__init__(self, parameters)
def __init__(self, source, target, parameters): ParametrizedObject.__init__(self, parameters) self.source = source self.target = target
def __init__(self, params): ParametrizedObject.__init__(self, params) self.content = {} self.input = None
def __init__(self, model, parameters): ParametrizedObject.__init__(self, parameters) self.model = model self.stimuli = [] self.direct_stimulation = None
def __init__(self, source,target, parameters): ParametrizedObject.__init__(self, parameters) self.source = source self.target = target
def __init__(self, datastore, parameters, plot_file_name=None,fig_param=None): ParametrizedObject.__init__(self, parameters) self.datastore = datastore self.plot_file_name = plot_file_name self.fig_param = fig_param if fig_param != None else {}