def do_neurongroup(
self
):
#/########################/#
# Import brian
# adapt the shape of the NeurongroupingBrianDict
#debug
'''
self.debug(
[
'We adapt the shape of NeurongroupingBrianDict',
('self.',self,[
'NeurongroupingBrianDict'
])
]
)
'''
#Check
if 'N' not in self.NeurongroupingBrianDict:
self.NeurongroupingBrianDict['N']=self.SimulatingUnitsInt
else:
self.SimulatingUnitsInt=self.NeurongroupingBrianDict['N']
#Check
if 'model' not in self.NeurongroupingBrianDict:
self.NeurongroupingBrianDict['model']=''
#/##################/#
# Set finally the Neurongroup
#
#Check
if self.NeurongroupingBrianDict['model']!="" or self.NeurongroupingBrianDict['N']>0:
#maybe should import
from brian2 import NeuronGroup
#debug
self.debug(
[
'We set the Neurongroup',
('self.',self,[
'NeurongroupingBrianDict'
])
]
)
#init
self.NeurongroupedBrianVariable=NeuronGroup(
**self.NeurongroupingBrianDict
)
else:
#return
return
#/##################/#
# team Traces first all the brian variables
#
#debug
self.debug(
[
'We simulate with neurongroup',
'adapt the initial conditions of all the brian variables',
'so first we team Traces and put Tracers inside'
]
)
#Check
if 'Traces' not in self.TeamDict:
NeurongroupedTracesDeriveTeamer=self.team(
'Traces'
).TeamedValueVariable
else:
NeurongroupedTracesDeriveTeamer=self.TeamDict[
'Traces'
]
#map
self.NeurongroupedDeriveTracersList=map(
lambda __TraceStr:
NeurongroupedTracesDeriveTeamer.manage(
Tracer.TracerPrefixStr+__TraceStr,
{
'TracingKeyVariable':getattr(
self.NeurongroupedBrianVariable,
__TraceStr
),
'TraceKeyStr':__TraceStr
}
).ManagedValueVariable,
self.NeurongroupedBrianVariable.equations._equations.keys()
)
#/##################/#
# Now analyze the NeurongroupingStatesDict to set Moniters
#
#debug
self.debug(
[
'We analyze the NeurongroupingStatesDict',
('self.',self,['NeurongroupingStatesDict'])
]
)
#get
NeurongroupedTracesMoniterKeyStrsList=Moniter.MoniterClass.DoingAttributeVariablesOrderedDict.keys()
#map
self.NeurongroupedDeriveMonitersList=SYS.flat(
map(
lambda __DeriveMoniter,__SampleTuplesList:
map(
lambda __SampleTuple:
__DeriveMoniter.manage(
__SampleTuple[0],
SYS.match(
NeurongroupedTracesMoniterKeyStrsList,
__SampleTuple[1:]
)
).ManagedValueVariable,
__SampleTuplesList
),
map(
lambda __KeyStr:
NeurongroupedTracesDeriveTeamer.ManagementDict[
Tracer.TracerPrefixStr+__KeyStr
].team('Samples').TeamedValueVariable,
self.NeurongroupingStatesDict.keys()
),
self.NeurongroupingStatesDict.values()
)
)
#/##################/#
# Set Monitors inside
#
#Check
if len(NeurongroupedTracesMoniterKeyStrsList)>0:
#debug
self.debug(
[
'We set the brian monitor inside'
]
)
#import
from brian2 import StateMonitor
#map
self.NeurongroupedDeriveStateMonitorsList=map(
lambda __NeurongroupedDeriveMoniter:
__NeurongroupedDeriveMoniter.set(
'MonitBrianVariable',
StateMonitor(
#NeuronGroup
self.NeurongroupedBrianVariable,
#varname
__NeurongroupedDeriveMoniter.ParentDeriveTeamerVariable.ParentDeriveTeamerVariable.TraceKeyStr,
#record
__NeurongroupedDeriveMoniter.MoniteringLabelIndexIntsArray
)
).MonitBrianVariable,
self.NeurongroupedDeriveMonitersList
)
