Reference
NeuroArch Python API consists of
an Object Graph Mapping (OGM) that implements the data model described in the Neurokernel Request for Comment #5,
a high level API for loading and querying the database using languages familiar to neurobiologists and computational neuroscientists,
a low level API for constructing queries that are understood by OrientDB database.
The references below represents the three parts of the NeuroArch Python API. In addition, it provides a reference for the supporting utilities.
- Object Graph Mapping
AggregatorAlphaSynapseArborizationDataArborizesInAxonHillockModelBioNodeBioSensorBufferPhotonBufferVoltageCRModelCartridgeCartridgeModelCircuitCircuitDiagramCircuitModelColumnColumnModelDataSourceDendriteModelDesignNodeExecutableCircuitGapJunctionGeneticDataGlomerulusHasDataHasQueryResultsHodgkinHuxleyHodgkinHuxleyFullInferredSynapseInterfaceLPULeakyIAFLeakyIAFwithRefractoryPeriodMembraneModelMetaDataModelsMorphologyDataMorrisLecarNarxAdaptiveNeuroarchNodeMixinNeuronNeuronAndFragmentNeuronFragmentNeuronModelNeuronTerminalNeuropilNeurotransmitterDataNodeOmmatidiumOmmatidiumModelOwnsPatternPhotoreceptorCellPhotoreceptorModelPortPowerGPotGPotQueryOwnsQueryResultRelationshipRequiresSendsToSigmoidSynapseSpeciesSubregionSubsystemSynapseSynapseAMPASynapseGABASynapseModelSynapseNMDATractVersioncreate_efficiently()
- High Level API
- Low Level API for Query
- Support Classes and Functions
Example datasets and how they were created from biological data can be found on this repository.