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, 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, parameters):
ParametrizedObject.__init__(self, parameters)
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 {}
def __init__(self, params):
ParametrizedObject.__init__(self, params)
self.content = {}
self.input = None
