def create_model():
"""Create two single compartmental neurons, neuron_A is the
presynaptic neuron and neuron_B is the postsynaptic neuron.
1. The presynaptic cell's Vm is monitored by a SpikeGen
object. Whenever the Vm crosses the threshold of the spikegen, it
sends out a spike event message.
2. This is event message is received by a SynHandler, which
passes the event as activation parameter to a SynChan object.
3. The SynChan, which is connected to the postsynaptic neuron
as a channel, updates its conductance based on the activation
parameter.
4. The change in conductance due to a spike may evoke an
action potential in the post synaptic neuron.
"""
model = moose.Neutral('/model')
nrn_a = create_1comp_neuron('/model/neuron_A')[0]
nrn_b = create_1comp_neuron('/model/neuron_B')[0]
#: SynChan for post synaptic neuron
synchan = moose.SynChan('/model/neuron_B/synchan')
synchan.Gbar = 1e-8
synchan.tau1 = 2e-3
synchan.tau2 = 2e-3
msg = moose.connect(nrn_b, 'channel', synchan, 'channel')
#: Create SynHandler to handle spike event input and set the
#: activation input of synchan
synhandler = moose.SimpleSynHandler('/model/neuron_B/synhandler')
synhandler.synapse.num = 1
synhandler.synapse[0].delay = 5e-3
moose.connect(synhandler, 'activationOut', synchan, 'activation')
#: SpikeGen detects when presynaptic Vm crosses threshold and
#: sends out a spike event
spikegen = moose.SpikeGen('/model/neuron_A/spikegen')
spikegen.threshold = 0.0
msg = moose.connect(nrn_a, 'VmOut', spikegen, 'Vm')
msg = moose.connect(spikegen, 'spikeOut', synhandler.synapse[0],
'addSpike')
return {
'presynaptic': nrn_a,
'postsynaptic': nrn_b,
'spikegen': spikegen,
'synchan': synchan,
'synhandler': synhandler
}
def create_population(container, size):
"""Create a population of `size` single compartmental neurons with Na+
and K+ channels. Also create SpikeGen objects and SynChan objects
connected to these which can act as plug points for setting up
synapses later.
This uses **ionchannel.create_1comp_neuron**.
"""
path = container.path
print((path, size, type(path)))
comps = create_1comp_neuron('{}/neuron'.format(path), number=size)
synpath = path + '/synchan'
print((synpath, size, type(size)))
synchan = moose.vec(synpath, n=size, dtype='SynChan')
synchan.Gbar = 1e-8
synchan.tau1 = 2e-3
synchan.tau2 = 2e-3
m = moose.connect(comps, 'channel', synchan, 'channel', 'OneToOne')
synhandler = moose.vec('{}/synhandler'.format(path),
n=size,
dtype='SimpleSynHandler')
moose.connect(synhandler, 'activationOut', synchan, 'activation',
'OneToOne')
spikegen = moose.vec('{}/spikegen'.format(path), n=size, dtype='SpikeGen')
spikegen.threshold = 0.0
m = moose.connect(comps, 'VmOut', spikegen, 'Vm', 'OneToOne')
return {
'compartment': comps,
'spikegen': spikegen,
'synchan': synchan,
'synhandler': synhandler
}
def create_cell():
"""Create a single-compartment Hodgking-Huxley neuron with a
synaptic channel.
This uses the :func:`ionchannel.create_1comp_neuron` function for
model creation.
Returns a dict containing the neuron, the synchan and the
synhandler for accessing the synapse,
"""
neuron = create_1comp_neuron('/neuron')
#: SynChan for post synaptic neuron
synchan = moose.SynChan('/neuron/synchan')
synchan.Gbar = 1e-8
synchan.tau1 = 2e-3
synchan.tau2 = 2e-3
msg = moose.connect(neuron, 'channel', synchan, 'channel')
#: Create SynHandler to handle spike event input and set the
#: activation input of synchan
synhandler = moose.SimpleSynHandler('/neuron/synhandler')
synhandler.synapse.num = 1
synhandler.synapse[0].delay = 5e-3
moose.connect(synhandler, 'activationOut', synchan, 'activation')
return {'neuron': neuron,
'synchan': synchan,
'synhandler': synhandler}
def create_population(container, size):
"""Create a population of `size` single compartmental neurons with Na+
and K+ channels. Also create SpikeGen objects and SynChan objects
connected to these which can act as plug points for setting up
synapses later.
This uses ..ref::`ionchannel.create_1comp_neuron`.
"""
path = container.path
print path, size, type(path)
comps = create_1comp_neuron("{}/neuron".format(path), number=size)
synpath = path + "/synchan"
print synpath, size, type(size)
synchan = moose.vec(synpath, n=size, dtype="SynChan")
synchan.Gbar = 1e-8
synchan.tau1 = 2e-3
synchan.tau2 = 2e-3
m = moose.connect(comps, "channel", synchan, "channel", "OneToOne")
synhandler = moose.vec("{}/synhandler".format(path), n=size, dtype="SimpleSynHandler")
moose.connect(synhandler, "activationOut", synchan, "activation", "OneToOne")
spikegen = moose.vec("{}/spikegen".format(path), n=size, dtype="SpikeGen")
spikegen.threshold = 0.0
m = moose.connect(comps, "VmOut", spikegen, "Vm", "OneToOne")
return {"compartment": comps, "spikegen": spikegen, "synchan": synchan, "synhandler": synhandler}
def create_population(container, size):
"""Create a population of `size` single compartmental neurons with Na+
and K+ channels. Also create SpikeGen objects and SynChan objects
connected to these which can act as plug points for setting up
synapses later.
This uses ..ref::`ionchannel.create_1comp_neuron`.
"""
path = container.path
print((path, size, type(path)))
comps = create_1comp_neuron('{}/neuron'.format(path), number=size)
synpath = path+'/synchan'
print((synpath, size, type(size)))
synchan = moose.vec(synpath, n=size, dtype='SynChan')
synchan.Gbar = 1e-8
synchan.tau1 = 2e-3
synchan.tau2 = 2e-3
m = moose.connect(comps, 'channel', synchan, 'channel', 'OneToOne')
synhandler = moose.vec('{}/synhandler'.format(path), n=size,
dtype='SimpleSynHandler')
moose.connect(synhandler, 'activationOut', synchan, 'activation', 'OneToOne')
spikegen = moose.vec('{}/spikegen'.format(path), n=size, dtype='SpikeGen')
spikegen.threshold = 0.0
m = moose.connect(comps, 'VmOut', spikegen, 'Vm', 'OneToOne')
return {'compartment': comps, 'spikegen': spikegen, 'synchan':
synchan, 'synhandler': synhandler}
def create_cell():
"""Create a single-compartment Hodgking-Huxley neuron with a
synaptic channel.
This uses the :func:`ionchannel.create_1comp_neuron` function for
model creation.
Returns a dict containing the neuron, the synchan and the
synhandler for accessing the synapse,
"""
neuron = create_1comp_neuron('/neuron')
#: SynChan for post synaptic neuron
synchan = moose.SynChan('/neuron/synchan')
synchan.Gbar = 1e-8
synchan.tau1 = 2e-3
synchan.tau2 = 2e-3
msg = moose.connect(neuron, 'channel', synchan, 'channel')
#: Create SynHandler to handle spike event input and set the
#: activation input of synchan
synhandler = moose.SimpleSynHandler('/neuron/synhandler')
synhandler.synapse.num = 1
synhandler.synapse[0].delay = 5e-3
moose.connect(synhandler, 'activationOut', synchan, 'activation')
return {'neuron': neuron,
'synchan': synchan,
'synhandler': synhandler}
def create_model():
"""
Create two single compartmental neurons, neuron_A is the
presynaptic neuron and neuron_B is the postsynaptic neuron.
1. The presynaptic cell's Vm is monitored by a SpikeGen
object. Whenever the Vm crosses the threshold of the spikegen, it
sends out a spike event message.
2. This is event message is received by a SynHandler, which
passes the event as activation parameter to a SynChan object.
3. The SynChan, which is connected to the postsynaptic neuron
as a channel, updates its conductance based on the activation
parameter.
4. The change in conductance due to a spike may evoke an
action potential in the post synaptic neuron.
"""
model = moose.Neutral('/model')
nrn_a = create_1comp_neuron('/model/neuron_A')[0]
nrn_b = create_1comp_neuron('/model/neuron_B')[0]
#: SynChan for post synaptic neuron
synchan = moose.SynChan('/model/neuron_B/synchan')
synchan.Gbar = 1e-8
synchan.tau1 = 2e-3
synchan.tau2 = 2e-3
msg = moose.connect(nrn_b, 'channel', synchan, 'channel')
#: Create SynHandler to handle spike event input and set the
#: activation input of synchan
synhandler = moose.SimpleSynHandler('/model/neuron_B/synhandler')
synhandler.synapse.num = 1
synhandler.synapse[0].delay = 5e-3
moose.connect(synhandler, 'activationOut', synchan, 'activation')
#: SpikeGen detects when presynaptic Vm crosses threshold and
#: sends out a spike event
spikegen = moose.SpikeGen('/model/neuron_A/spikegen')
spikegen.threshold = 0.0
msg = moose.connect(nrn_a, 'VmOut', spikegen, 'Vm')
msg = moose.connect(spikegen, 'spikeOut', synhandler.synapse[0],
'addSpike')
return {'presynaptic': nrn_a, 'postsynaptic': nrn_b, 'spikegen':
spikegen, 'synchan': synchan, 'synhandler': synhandler}
