2 Commits b3ae51baea ... ccaf8d6ce2

Author SHA1 Message Date
  Ankur Sinha (Ankur Sinha Gmail) ccaf8d6ce2 chore(nml): re-run on nsg 10 months ago
  Ankur Sinha (Ankur Sinha Gmail) aab8427244 chore(nml): restore lems components for 1.0 scale network 10 months ago
2 changed files with 25 additions and 5 deletions
  1. 8 5
      NeuroML2/create_simulate.py
  2. 17 0
      NeuroML2/lems_components_1.0.xml

+ 8 - 5
NeuroML2/create_simulate.py

@@ -1176,17 +1176,17 @@ if __name__ == "__main__":
 
     model = HL23Net(
         scale=scale,
-        new_cells=True,
+        new_cells=False,
         biophysics=True,
-        tonic_inhibition=False,
-        connections=False,
+        tonic_inhibition=True,
+        connections=True,
         network_input="background",
         stimulus=False,
         hdf5=False,
-        rotate_cells=True,
+        rotate_cells=False,
     )
-    model.create_network()
     """
+    model.create_network()
     model.create_simulation()
     # model.visualize_network(min_cells=25)
     # For normal run
@@ -1194,16 +1194,19 @@ if __name__ == "__main__":
                   skip_run=False)
     # for NSG
     # with netpyne, use `-nogui` to prevent matplotlib import
+    """
     model.run_sim(engine="jneuroml_netpyne", nsg=True,
                   nsg_sim_config={
                       "number_cores_": "64",
                       "tasks_per_node_": "64",
                       "number_nodes_": "20",
+                      "number_gbmemorypernode_": "192",
                       "runtime_": "5",
                       'toolId': "OSBv2_EXPANSE_0_7_3",
                       'nrnivmodl_o_': "1",
                       "cmdlineopts_": "-nogui"
                   },
                   nogui=True)
+    """
     # model.plot_v_graphs()
     """

+ 17 - 0
NeuroML2/lems_components_1.0.xml

@@ -3,6 +3,7 @@
   <Include file="CaDynamics_E2_NML2.nml"/>
   <Include file="synapses/ProbAMPANMDA.synapse.nml"/>
   <Include file="synapses/ProbUDF.synapse.nml"/>
+  <Include file="channels/Tonic.nml"/>
   <Include file="channels/Ca_HVA.channel.nml"/>
   <Include file="channels/Ca_LVA.channel.nml"/>
   <Include file="channels/Ih.channel.nml"/>
@@ -15,6 +16,22 @@
   <Include file="channels/pas.channel.nml"/>
   <Include file="channels/NaTg/NaTg.channel.nml"/>
   <Include file="synapses/Gfluct.nml"/>
+  <Component id="HL23PYR_HL23PYR_ProbAMPANMDA" type="ProbAMPANMDA" tau_r_AMPA="0.3 ms" tau_d_AMPA="3 ms" tau_r_NMDA="2 ms" tau_d_NMDA="65 ms" Use="0.46" Dep="670 ms" Fac="17 ms" gbase="0.0002482 uS" u0="0" erev="0 mV" mg="1 mM" weight_factor_NMDA="1"/>
+  <Component id="HL23PYR_HL23SST_ProbAMPANMDA" type="ProbAMPANMDA" tau_r_AMPA="0.3 ms" tau_d_AMPA="3 ms" tau_r_NMDA="2 ms" tau_d_NMDA="65 ms" Use="0.09" Dep="140 ms" Fac="670 ms" gbase="0.00038 uS" u0="0" erev="0 mV" mg="1 mM" weight_factor_NMDA="1"/>
+  <Component id="HL23PYR_HL23PV_ProbAMPANMDA" type="ProbAMPANMDA" tau_r_AMPA="0.3 ms" tau_d_AMPA="3 ms" tau_r_NMDA="2 ms" tau_d_NMDA="65 ms" Use="0.88" Dep="510 ms" Fac="180 ms" gbase="0.000337 uS" u0="0" erev="0 mV" mg="1 mM" weight_factor_NMDA="1"/>
+  <Component id="HL23PYR_HL23VIP_ProbAMPANMDA" type="ProbAMPANMDA" tau_r_AMPA="0.3 ms" tau_d_AMPA="3 ms" tau_r_NMDA="2 ms" tau_d_NMDA="65 ms" Use="0.5" Dep="670 ms" Fac="17 ms" gbase="0.00031 uS" u0="0" erev="0 mV" mg="1 mM" weight_factor_NMDA="1"/>
+  <Component id="HL23SST_HL23PYR_ProbUDFsyn" type="ProbUDFsyn" tau_r="1 ms" tau_d="10 ms" Use="0.3" Dep="1300 ms" Fac="2 ms" gbase="0.00124 uS" u0="0" erev="-80 mV"/>
+  <Component id="HL23SST_HL23SST_ProbUDFsyn" type="ProbUDFsyn" tau_r="1 ms" tau_d="10 ms" Use="0.25" Dep="720 ms" Fac="21 ms" gbase="0.00034 uS" u0="0" erev="-80 mV"/>
+  <Component id="HL23SST_HL23PV_ProbUDFsyn" type="ProbUDFsyn" tau_r="1 ms" tau_d="10 ms" Use="0.25" Dep="710 ms" Fac="21 ms" gbase="0.00033 uS" u0="0" erev="-80 mV"/>
+  <Component id="HL23SST_HL23VIP_ProbUDFsyn" type="ProbUDFsyn" tau_r="1 ms" tau_d="10 ms" Use="0.31" Dep="890 ms" Fac="25 ms" gbase="0.00046 uS" u0="0" erev="-80 mV"/>
+  <Component id="HL23PV_HL23PYR_ProbUDFsyn" type="ProbUDFsyn" tau_r="1 ms" tau_d="10 ms" Use="0.08" Dep="710 ms" Fac="23 ms" gbase="0.00291 uS" u0="0" erev="-80 mV"/>
+  <Component id="HL23PV_HL23SST_ProbUDFsyn" type="ProbUDFsyn" tau_r="1 ms" tau_d="10 ms" Use="0.25" Dep="700 ms" Fac="21 ms" gbase="0.00033 uS" u0="0" erev="-80 mV"/>
+  <Component id="HL23PV_HL23PV_ProbUDFsyn" type="ProbUDFsyn" tau_r="1 ms" tau_d="10 ms" Use="0.25" Dep="710 ms" Fac="21 ms" gbase="0.00033 uS" u0="0" erev="-80 mV"/>
+  <Component id="HL23PV_HL23VIP_ProbUDFsyn" type="ProbUDFsyn" tau_r="1 ms" tau_d="10 ms" Use="0.26" Dep="720 ms" Fac="21 ms" gbase="0.00034 uS" u0="0" erev="-80 mV"/>
+  <Component id="HL23VIP_HL23PYR_ProbUDFsyn" type="ProbUDFsyn" tau_r="1 ms" tau_d="10 ms" Use="0.23" Dep="300 ms" Fac="160 ms" gbase="0.0 uS" u0="0" erev="-80 mV"/>
+  <Component id="HL23VIP_HL23SST_ProbUDFsyn" type="ProbUDFsyn" tau_r="1 ms" tau_d="10 ms" Use="0.27" Dep="760 ms" Fac="22 ms" gbase="0.00036 uS" u0="0" erev="-80 mV"/>
+  <Component id="HL23VIP_HL23PV_ProbUDFsyn" type="ProbUDFsyn" tau_r="1 ms" tau_d="10 ms" Use="0.25" Dep="720 ms" Fac="21 ms" gbase="0.00034 uS" u0="0" erev="-80 mV"/>
+  <Component id="HL23VIP_HL23VIP_ProbUDFsyn" type="ProbUDFsyn" tau_r="1 ms" tau_d="10 ms" Use="0.26" Dep="720 ms" Fac="21 ms" gbase="0.00034 uS" u0="0" erev="-80 mV"/>
   <Component id="Gfluct_HL23PYR_0_5" type="Gfluct" start="0ms" stop="1000ms" dt="0.025ms" E_e="0mV" E_i="-80mV" g_e0="0.00010881560386620847 uS" g_i0="0pS" tau_e="65ms" tau_i="20ms" std_e="0.00010881560386620847 uS" std_i="0pS"/>
   <Component id="Gfluct_HL23SST_0_5" type="Gfluct" start="0ms" stop="1000ms" dt="0.025ms" E_e="0mV" E_i="-80mV" g_e0="4.9461638121003845e-05 uS" g_i0="0pS" tau_e="65ms" tau_i="20ms" std_e="4.9461638121003845e-05 uS" std_i="0pS"/>
   <Component id="Gfluct_HL23PV_0_5" type="Gfluct" start="0ms" stop="1000ms" dt="0.025ms" E_e="0mV" E_i="-80mV" g_e0="0.00046164195579603584 uS" g_i0="0pS" tau_e="65ms" tau_i="20ms" std_e="0.00046164195579603584 uS" std_i="0pS"/>