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Last modified by galluzziandrea on 2022/06/20 12:33
From version 7.1
edited by galluzziandrea
on 2021/12/09 14:49
on 2021/12/09 14:49
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To version 8.1
edited by galluzziandrea
on 2021/12/09 14:58
on 2021/12/09 14:58
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... ... @@ -235,9 +235,94 @@ 235 235 # [.....],[],...] 236 236 {{/code}} 237 237 238 +=== Defining general and nest.kernel parameters === 238 238 240 +{{code language="python"}} 241 +#############################------------------------------------------------------------------------ 242 +#Clean the Network 243 +#############################------------------------------------------------------------------------ 244 +nest.ResetKernel() 239 239 246 +#############################------------------------------------------------------------------------ 247 +#insert the introductory parameters of the simulation 248 +#############################------------------------------------------------------------------------ 240 240 250 + 251 +dt = 0.1 # the resolution in ms 252 +StartMisure=0. # start time of measurements 253 +simtime = int(float(InfoPerseo[3])) # Simulation time in ms (200 s) 254 +if simtime<=StartMisure: # If the simulation time is less than StartMisure, it is increased by StartMisure 255 + simtime=simtime+StartMisure 256 +start=0.0 # start time of poissonian processes 257 +origin=0.0 # temporal origin 258 + 259 +#############################------------------------------------------------------------------------ 260 +# Kernel parameters 261 +#############################------------------------------------------------------------------------ 262 +LNT=multiprocessing.cpu_count(); 263 +nest.SetKernelStatus({"local_num_threads": LNT}) 264 +nest.SetKernelStatus({"resolution": dt, "print_time": True, 265 + "overwrite_files": True}) 266 + 267 +#############################------------------------------------------------------------------------ 268 +#"randomize" the seeds of the random generators 269 +#############################------------------------------------------------------------------------ 270 + 271 +#msd = int(math.fabs(time.process_time()*1000)) 272 +#N_vp = nest.GetKernelStatus(['total_num_virtual_procs'])[0] 273 +#pyrngs = [numpy.random.RandomState(s) for s in range(msd, msd+N_vp)] 274 +#nest.SetKernelStatus({"grng_seed" : msd+N_vp}) 275 +#nest.SetKernelStatus({"rng_seeds" : list(range(msd+N_vp+1, msd+2*N_vp+1))}) 276 +{{/code}} 277 + 278 +=== Building the network: neuronal populations , Poisson processes and spike detectors === 279 + 280 +{{code language="python"}} 281 +#############################------------------------------------------------------------------------ 282 +print("Building network") 283 +#############################------------------------------------------------------------------------ 284 + 285 +startbuild = time.time() #initialize the calculation of the time used to simulate 286 + 287 +NeuronPop=[] 288 +NoisePop=[] 289 +DetectorPop=[] 290 + 291 +#define and initialize the populations of neurons with the parameters extracted from the.ini files 292 +for i in range(1,int(InfoBuild[0])+1): 293 + if int(InfoBuild[i][7])==0: 294 + app=float(InfoBuild[i][5]) 295 + else: 296 + app=0. 297 + app2= nest.Create("aeif_psc_exp", int(InfoBuild[i][0]),params={"C_m": 1.0, 298 + "g_L": 1.0/float(InfoBuild[i][3]), 299 + "t_ref": float(InfoBuild[i][6]), 300 + "E_L": 0.0, 301 + "V_reset": float(InfoBuild[i][5]), 302 + "V_m": app, 303 + "V_th": float(InfoBuild[i][4]), 304 + "Delta_T": 0., 305 + "tau_syn_ex": 1.0, 306 + "tau_syn_in": 1.0, 307 + "a": 0.0, 308 + "b": float(InfoBuild[i][10]), 309 + "tau_w": float(InfoBuild[i][9]), 310 + "V_peak":float(InfoBuild[i][4])+10.0}) 311 + NeuronPop.append(app2) 312 + 313 +#define and initialize the poisson generators and the spike detectors with the parameters extracted from the.ini files 314 + 315 +for i in range(1,int(InfoBuild[0])+1): 316 + app3= nest.Create("poisson_generator",params={"rate": float(InfoBuild[i][1]*InfoBuild[i][2]), 317 + 'origin':0., 318 + 'start':start}) 319 + NoisePop.append(app3) 320 + app4 = nest.Create("spike_recorder",params={ "start":StartMisure}) 321 + DetectorPop.append(app4) 322 + 323 +endbuild = time.time() 324 +{{/code}} 325 + 241 241 === Results === 242 242 243 243 ==== ====
- Introduction (path and modules):
- Check where I am and place myself in the right folder:
- Import the modules necessary for the simulation:
- Define necessary classes to import the Initialization Files:
- Import the initialization files:
- Defining general and nest.kernel parameters
- Building the network: neuronal populations , Poisson processes and spike detectors
- Connecting the network nodes: neuronal populations, Poisson processes and spike detectors
- Simulating: neuronal time evolution.
- Results: