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Adding L23 interneuron: cNAC187_L23_NBC_9d37c4b1f8
Add tests for this cell Add tests of all cells on NetPyNE
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‎.gitignore‎

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ChannelTest/*.hoc
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ChannelTest/*.dat
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ChannelTest/*.log
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/NMC/NeuroML2/*_netpyne.py
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/NMC/NeuroML2/*_main.json

‎NMC/NEURON/.test.l23nbc.mep‎

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# Script for running automated tests on OSB using Travis-CI, see https://github.com/OpenSourceBrain/osb-model-validation
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system: Testing L23nbc
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experiments:
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stepcurrent3_0:
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expected:
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spike times: [741.775, 793.575, 846.775, 899.875, 952.775, 1005.575, 1058.175, 1110.675, 1162.975, 1215.275, 1267.575, 1319.775, 1371.975, 1424.175, 1476.375, 1528.675, 1580.875, 1633.175, 1685.575, 1737.975, 1790.475, 1842.975, 1895.475, 1948.175, 2000.775, 2053.575, 2106.375, 2159.175, 2212.075, 2264.975, 2317.975, 2371.075, 2424.075, 2477.275, 2530.4, 2583.6, 2636.8, 2690.1]
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‎NMC/NEURON/.test.l23nbc.nrn.omt‎

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# Script for running automated tests on OSB using Travis-CI, see https://github.com/OpenSourceBrain/osb-model-validation
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target: Test_L23_NBC.hoc
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engine: NEURON
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mep: .test.l23nbc.mep
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experiments:
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stepcurrent3_0:
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observables:
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spike times:
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file:
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path: hoc_recordings/soma_voltage.dat
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columns: [0,1]
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scaling: [1, 1]
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spike detection:
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method: threshold
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threshold: 0
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tolerance: 0

‎NMC/NEURON/Test_L23_NBC.hoc‎

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load_file("../parser/L23_NBC_cNAC187_1/loadcell.hoc")
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load_file("utils/cellCheck.hoc")
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// load_file("../NEURON/utils/cellCheck.hoc")
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// For testing...
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//forall {if (ismembrane("Ih")) { uninsert Ih } }
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//forall {if (ismembrane("Ca_HVA")) { uninsert Ca_HVA } }
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//forall {if (ismembrane("Ca_LVAst")) { uninsert Ca_LVAst } }
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//forall {if (ismembrane("Ca")) { uninsert Ca } }
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//forall {if (ismembrane("SKv3_1")) { uninsert SKv3_1 } }
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//forall {if (ismembrane("SK_E2")) { uninsert SK_E2 } }
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//forall {if (ismembrane("Nap_Et2")) { uninsert Nap_Et2 } }
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//forall {if (ismembrane("Im")) { uninsert Im } }
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//forall {if (ismembrane("K_Tst")) { uninsert K_Tst } }
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//forall {if (ismembrane("NaTa_t")) { uninsert NaTa_t } }
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//forall {if (ismembrane("K_Pst")) { uninsert K_Pst } }
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//forall {if (ismembrane("NaTs2_t")) { uninsert NaTs2_t } }
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tstop=3000
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create_recording()
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create_stimulus("stepcurrent3")
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psection()
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simulate()
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save_recording()
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//quit()
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‎NMC/NeuroML2/.test.l1.jnmlnetpyne.omt‎

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# Script for running automated tests on OSB using Travis-CI, see https://github.com/OpenSourceBrain/osb-model-validation
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target: LEMS_L1_HAC_cNAC187_1.xml
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engine: jNeuroML_NetPyNE
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mep: ../NEURON/.test.l1.mep
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experiments:
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stepcurrent3_-25:
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observables:
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spike times:
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file:
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path: L1_HAC_cNAC187_1.Pop_cNAC187_L1_HAC_f8c9772d9d_0_0.v.dat
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columns: [0,1]
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scaling: [1000, 1000]
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spike detection:
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method: threshold
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threshold: -25
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tolerance: 0.00150330727601

‎NMC/NeuroML2/.test.l1.jnmlnrn.omt‎

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spike detection:
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method: threshold
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threshold: -25
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tolerance: 0.00111
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tolerance: 0.00103669914991

‎NMC/NeuroML2/.test.l23.jnmlnetpyne.omt‎

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# Script for running automated tests on OSB using Travis-CI, see https://github.com/OpenSourceBrain/osb-model-validation
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target: LEMS_L23_PC_cADpyr229_1.xml
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engine: jNeuroML_NetPyNE
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mep: ../NEURON/.test.l23.mep
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experiments:
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stepcurrent3_0:
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observables:
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spike times:
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file:
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path: L23_PC_cADpyr229_1.Pop_cADpyr229_L23_PC_5ecbf9b163_0_0.v.dat
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columns: [0,1]
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scaling: [1000, 1000]
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spike detection:
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method: threshold
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threshold: 0
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tolerance: 0.00989843257597

‎NMC/NeuroML2/.test.l23.jnmlnrn.omt‎

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spike detection:
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method: threshold
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threshold: 0
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tolerance: 0.0158
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tolerance: 0.0156742403108

‎NMC/NeuroML2/.test.l23nbc.jnmlnetpyne.omt‎

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# Script for running automated tests on OSB using Travis-CI, see https://github.com/OpenSourceBrain/osb-model-validation
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target: LEMS_L23_NBC_cNAC187_1.xml
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engine: jNeuroML_NetPyNE
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mep: ../NEURON/.test.l23nbc.mep
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experiments:
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stepcurrent3_0:
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observables:
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spike times:
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file:
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path: L23_NBC_cNAC187_1.Pop_cNAC187_L23_NBC_9d37c4b1f8_0_0.v.dat
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columns: [0,1]
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scaling: [1000, 1000]
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spike detection:
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method: threshold
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threshold: 0
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tolerance: 0.000787174306631

‎NMC/NeuroML2/.test.l23nbc.jnmlnrn.omt‎

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# Script for running automated tests on OSB using Travis-CI, see https://github.com/OpenSourceBrain/osb-model-validation
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target: LEMS_L23_NBC_cNAC187_1.xml
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engine: jNeuroML_NEURON
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mep: ../NEURON/.test.l23nbc.mep
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experiments:
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stepcurrent3_0:
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observables:
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spike times:
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file:
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path: L23_NBC_cNAC187_1.Pop_cNAC187_L23_NBC_9d37c4b1f8_0_0.v.dat
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columns: [0,1]
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scaling: [1000, 1000]
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spike detection:
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method: threshold
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threshold: 0
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tolerance: 0.00180571379436

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