def outputs(self, recurse = True): outputs = NeuroObject.outputs(self, recurse) if self.sendsOutput: outputs += [self.region] if self.receivesInput: outputs += [self.neurite] return outputs
def outputs(self, recurse = True): outputs = NeuroObject.outputs(self, recurse) if self.region1Projects: outputs += [self.region2] if self.region2Projects: outputs += [self.region1] return outputs
def outputs(self, recurse = True): """ Return a list of all objects that receive information from this neuron and optionally any extending :class:`neurites <Network.Neurite.Neurite>`. The list may contain any number of :class:`arborizations <Network.Arborization.Arborization>`, :class:`gap junctions <Network.GapJunction.GapJunction>`, :class:`innervations <Network.Innervation.Innervation>` or :class:`synapses <Network.Synapse.Synapse>`. """ return NeuroObject.outputs(self, recurse)
def outputs(self, recurse = True): """ Return a list of all objects that receive information from this neurite and optionally any extending neurites. The list may contain any number of :class:`arborizations <Network.Arborization.Arborization>`, :class:`gap junctions <Network.GapJunction.GapJunction>`, :class:`innervations <Network.Innervation.Innervation>` or :class:`synapses <Network.Synapse.Synapse>`. """ outputs = NeuroObject.outputs(self, recurse) + self.gapJunctions(False) + self.innervations(False) + self.synapses(includePost = False, recurse = False) if self.arborization is not None and self.arborization.sendsOutput: outputs += [self.arborization] return outputs
def outputs(self, recurse = True): outputs = NeuroObject.outputs(self, recurse) for pathway in self.pathways: if pathway.region1 == self and pathway.region1Projects or pathway.region2 == self and pathway.region2Projects: outputs.append(pathway) for arborization in self.arborizations: if arborization.receivesInput: outputs.append(arborization) if recurse: for subRegion in self.subRegions: outputs += subRegion.outputs() return outputs
def outputs(self, recurse=True): """ Return a list of all objects that receive information from this neurite and optionally any extending neurites. The list may contain any number of :class:`arborizations <Network.Arborization.Arborization>`, :class:`gap junctions <Network.GapJunction.GapJunction>`, :class:`innervations <Network.Innervation.Innervation>` or :class:`synapses <Network.Synapse.Synapse>`. """ outputs = ( NeuroObject.outputs(self, recurse) + self.gapJunctions(False) + self.innervations(False) + self.synapses(includePost=False, recurse=False) ) if self.arborization is not None and self.arborization.sendsOutput: outputs += [self.arborization] return outputs
def outputs(self, recurse = True): return NeuroObject.outputs(self, recurse) + list(self._neurites)
def outputs(self, recurse = True): return NeuroObject.outputs(self, recurse) + self.postSynapticPartners
def outputs(self, recurse=True): return NeuroObject.outputs(self, recurse) + [self.muscle]
def outputs(self, recurse = True): return NeuroObject.outputs(self, recurse) + [self.muscle]