Python Learning 예제들

예제 #1

파일: Run_Fig_5_Supp_1.py 프로젝트: sprekelerlab/SourceCode_Hertaeg20

wPP, wPE, wDS = dtype(-0.5), dtype(2.5), dtype(-5.0)
if FlagDendRec == 1:
    wPV = dtype(-0.3)
elif FlagDendRec == 0:
    wPV = dtype(-0.18)

NetPar = Network(NeuPar, wPP=wPP, wPE=wPE, wDS=wDS, wPV=wPV)

### Define simulation parameters & recording options
SimPar_test = Simulation()
SimPar = Simulation(dt=0.2)
SavePar = SaveData()

### Define plasticity parameter
LearnPar = Learning(NeuPar, pPV=dtype(0))

# #####################
# ##### Learning ######
# #####################

### Define input parameters
stim_max, SD = dtype(100), dtype(5)
Xternal = dtype([400, 2, 2, 2, 0])
if FlagDendRec == 0:
    Xternal[-1] = 40
num_stim = np.int32(3600)

StimPar = Stimulation(NeuPar,
                      NetPar,
                      SD,

예제 #2

파일: Run_Fig_1_Supp_3.py 프로젝트: sprekelerlab/SourceCode_Hertaeg20

folder = 'Fig_1_Supp_3'

### Define neuron and network parameters
NeuPar = Neurons(FlagDendRec=np.int32(0))
VE_scale = 0.5

wPP, wPE, wDS = dtype(-0.5), dtype(2.5), dtype(-5.0)
NetPar = Network(NeuPar, wPP=wPP, wPE=wPE, wDS=wDS)

### Define simulation parameters & recording options
SimPar_test = Simulation()
SimPar = Simulation(dt=0.2)
SavePar = SaveData()

### Define plasticity parameter
LearnPar = Learning(NeuPar)

#####################
# Before plasticity #
#####################

### Define input parameters
stim_max, SD = dtype(100), dtype(5)
Xternal = dtype([400, 2, 2, 2, 40])
num_stim = np.int32(10)

StimPar_test = Stimulation(NeuPar,
                           NetPar,
                           SD,
                           None,
                           stim_max,

예제 #3

folder = 'Fig_6'

### Define neuron and network parameters
NeuPar = Neurons()

wPP, wPE, wDS = dtype(-0.5), dtype(2.5), dtype(-5.0)
NetPar = Network(NeuPar, wPP=wPP, wPE=wPE, wDS=wDS)

### Define simulation parameters & recording options
SimPar_test = Simulation()
SimPar = Simulation(dt=0.2)
SavePar = SaveData()

### Define plasticity parameter
LearnPar = Learning(NeuPar, flagRule=2)

#####################
# Before plasticity #
#####################

### Define input parameters
stim_max, SD = dtype(100), dtype(5)
Xternal = dtype([400, 2, 2, 2, 0])
num_stim = np.int32(10)

StimPar_test = Stimulation(NeuPar, NetPar, SD, None, stim_max, Xternal=Xternal)
StimPar_test_long = Stimulation(NeuPar,
                                NetPar,
                                SD,
                                num_stim,