from neuroml import ElectricalConnectionInstanceW
from neuroml import Property
from neuroml import Instance
from neuroml import Location
from neuroml import PoissonFiringSynapse
import neuroml.writers as writers
import random
random.seed(123)
scale = 2
nml_doc = NeuroMLDocument(id="Complete")
nml_doc.notes = "Lots of notes...."
IafCell0 = IafCell(id="iaf0",
C="1.0 nF",
thresh="-50mV",
reset="-65mV",
leak_conductance="10 nS",
leak_reversal="-65mV")
nml_doc.iaf_cells.append(IafCell0)
IafCell1 = IafCell(id="iaf1",
C="1.0 nF",
thresh="-50mV",
reset="-65mV",
leak_conductance="20 nS",
from neuroml import InputList
from neuroml import ConnectionWD
from neuroml import Projection
from neuroml import Property
from neuroml import Instance
from neuroml import Location
from neuroml import PoissonFiringSynapse
import neuroml.writers as writers
from random import random
scale = 2
nml_doc = NeuroMLDocument(id="IafNet")
nml_doc.notes = "Root notes"
IafCell0 = IafCell(id="iaf0",
C="1.0 nF",
thresh = "-50mV",
reset="-65mV",
leak_conductance="10 nS",
leak_reversal="-65mV")
nml_doc.iaf_cells.append(IafCell0)
IafCell1 = IafCell(id="iaf1",
C="1.0 nF",
thresh = "-50mV",
reset="-65mV",
leak_conductance="20 nS",
from neuroml import InputList
from neuroml import ConnectionWD
from neuroml import Projection
from neuroml import Property
from neuroml import Instance
from neuroml import Location
from neuroml import PoissonFiringSynapse
import neuroml.writers as writers
from random import random
scale = 2
nml_doc = NeuroMLDocument(id="IafNet")
nml_doc.notes = "Root notes"
IafCell0 = IafCell(id="iaf0",
C="1.0 nF",
thresh="-50mV",
reset="-65mV",
leak_conductance="10 nS",
leak_reversal="-65mV")
nml_doc.iaf_cells.append(IafCell0)
IafCell1 = IafCell(id="iaf1",
C="1.0 nF",
thresh="-50mV",
reset="-65mV",
leak_conductance="20 nS",
from neuroml import InputList
from neuroml import Instance
from neuroml import Location
from neuroml import Network
from neuroml import NeuroMLDocument
from neuroml import PoissonFiringSynapse
from neuroml import Population
from neuroml import Projection
from neuroml import Property
import neuroml.writers as writers
import random
import math
nml_doc = NeuroMLDocument(id="Example2")
nml_doc.notes = "Demo of cell with spines"
net = Network(id=nml_doc.id)
net.notes = nml_doc.notes
nml_doc.networks.append(net)
populations = {}
def add_instance(name, x, y, z):
pop = populations[name]
inst = Instance(id=len(pop.instances))
pop.size = pop.size + 1
pop.instances.append(inst)