Wiki source code of Code description

Version 20.1 by galluzziandrea on 2022/01/27 17:12
Show last authors
1 == Introduction (path and modules): ==
2
3 First of all we check the path and import the necessary modules .
4
5 === Check where I am and place myself in the right folder: ===
6
7 {{code language="python"}}
8 # Import the os module
9 import os
10
11 #Print the current working directory
12 print("Current working directory: {0}".format(os.getcwd()))
13
14 # Change the current working directory
15 os.chdir('/mnt/user/shared/Slow waves in fading anesthesia/Nest3Python3')
16
17 # Print the current working directory
18 print("Current working directory: {0}".format(os.getcwd()))
19 {{/code}}
20
21 === Import the modules necessary for the simulation: ===
22
23 {{code language="python"}}
24 import nest
25 import time
26 from numpy import exp
27 import numpy
28 import math
29 import random
30 import multiprocessing
31 Inizio=time.time()
32 print('tempo di Inizio:',Inizio)
33 {{/code}}
34
35 === ===
36
37 === Define necessary classes to import the Initialization Files: ===
38
39 {{code language="python" title=" "}}
40 class ImportIniLIFCA():
41 #initialize the information to look for in perseo.ini
42 inf=["NeuronType", #still fixed value
43 "DelayDistribType", #still fixed value
44 "SynapticExtractionType", #still fixed value
45 "Life"]
46
47 def __init__(self,files):
48 self.files=files
49
50 def FilesControllo(self):
51 import sys
52 for i in range(0,len(self.files)):
53 if self.FileControllo(self.files[i]):
54 sys.exit(0)
55
56 def FileControllo(self,file1):
57 try:
58 f1=open(file1,"r")
59 f1.close()
60 return 0
61 except ValueError:
62 print("ValueError")
63 return 1
64 except IOError as err:
65 print("OS error: {0}".format(err))
66 return 1
67 except:
68 print("Unexpected error:", sys.exc_info()[0])
69 return 1
70
71 def Estrai_inf(self,stampa=0):
72
73 InfoPerseo=self.EstraiInfoPerseo() #extract info from perseo.ini
74 AppoggioTempM=self.EstraiInfoModuli() #extract info from modules.ini
75 AppoggioTempC=self.EstraiInfoConnectivity() #extract info from connectivity.ini
76 AppoggioTempP=self.EstraiProtocol() #extract info from protocol.ini
77
78 def getKey(item):
79 return item[0]
80 InfoProtocol=AppoggioTempP
81 # I convert the extracted information into a suitable format from tuple to list
82
83 InfoBuildT=[AppoggioTempM[0]]
84 for i in range(0,AppoggioTempM[0]):
85 app1=[int(AppoggioTempM[2][i][0])]
86 app=(app1+list(AppoggioTempM[2][i][3:9])+list(AppoggioTempM[2][i][12])+list(AppoggioTempM[2][i][9:12]))
87 InfoBuildT.append(app)
88 del app
89
90 InfoBuild=[float(InfoBuildT[0])]
91 for i in range(0,int(InfoBuildT[0])):
92 app=[]
93 for j in range(0,11):
94 app.append(float(InfoBuildT[i+1][j]))
95 InfoBuild=InfoBuild+[app]
96 del app
97
98 InfoConnectPop=[AppoggioTempM[0]]
99 for i in range(0,len(AppoggioTempC[1][:])):
100 app=list(AppoggioTempC[1][i])
101 InfoConnectPop.append(app)
102 del app
103
104 InfoConnectNoise=[AppoggioTempM[0]]
105 for i in range(0,AppoggioTempM[0]):
106 app=list(AppoggioTempM[2][i][1:3])
107 InfoConnectNoise.append(app)
108
109
110 if stampa==1: #Print on screen of saved data
111 for i,j in enumerate(InfoPerseo):
112 print(self.inf[i],"=",j)
113 print("\n")
114 print("the network consists of ", AppoggioTempM[0], " neuronal population" )
115 print(AppoggioTempM[1])
116 for i in range(0,AppoggioTempM[0]):
117 print(AppoggioTempM[2][i])
118 print("\n")
119 print(AppoggioTempC[0])
120 for i in range(0,AppoggioTempM[0]**2):
121 print(AppoggioTempC[1][i])
122 print("\n")
123 for i in InfoProtocol:
124 print("SET_PARAM"+str(i))
125
126
127 return InfoPerseo,InfoBuild,InfoConnectPop,InfoConnectNoise,InfoProtocol
128
129 def EstraiProtocol(self):
130 import string
131 f1=open(self.files[3],"r")
132 ProtocolList= []
133 for x in f1.readlines():
134 y=x.split()
135 if len(y):
136 if x[0]!="#" and y[0]=="SET_PARAM":
137 try:
138 ProtocolList.append([float(y[1]),int(y[2]),float(y[3]),float(y[4])])
139 except ValueError:
140 pass
141 f1.close()
142 return ProtocolList
143
144 def EstraiInfoPerseo(self):
145 import string
146 f1=open(self.files[0],"r")
147 InfList= []
148 for x in f1.readlines():
149 y=x.split()
150 if len(y):
151 if x[0]!="#":
152 for findinf in self.inf:
153 try:
154 temp=y.index(findinf)
155 InfList.append(y[temp+2])
156 except ValueError:
157 pass
158 f1.close()
159 return InfList
160
161 def EstraiInfoModuli(self):
162 import string
163 f1=open(self.files[2],"r")
164 NumPop=0
165 for i,x in enumerate(f1.readlines()):
166 y=x.split()
167 if len(y):
168 if x[0]!="#":
169 NumPop=NumPop+1
170 if i==2:
171 ParamList=[]
172 for j in range(1,14):
173 ParamList.append(y[j])
174 f1.close()
175 PopsParamList=[]
176 f1=open(self.files[2],"r")
177 x=f1.readlines()
178 for j in range(0,NumPop):
179 appo=x[4+j];
180 PopsParamList.append(appo.split())
181 f1.close()
182 return NumPop,ParamList,PopsParamList
183
184 def EstraiInfoConnectivity(self):
185 import string
186 f1=open(self.files[1],"r")
187 PopConParamList=[]
188 for i,x in enumerate(f1.readlines()):
189 y=x.split()
190 if len(y):
191 if x[0]!="#":
192 PopConParamList.append(y)
193 if i==1:
194 ParamList=[]
195 for j in range(1,9):
196 ParamList.append(y[j])
197 f1.close()
198 return ParamList,PopConParamList
199 {{/code}}
200
201 === Import the initialization files: ===
202
203 in this section we...
204
205 {{code language="python"}}
206 Salva=1
207 file1="perseo35.ini"
208 file2="c_cortsurf_Pot1.43PotStr148v3.ini"
209 file3="m_cortsurf_Pot1.43.ini"
210 file4="ProtocolExploration36.ini"
211 files=[file1,file2,file3,file4]
212 #define the name of the Output file
213 FileName="dati/Rates_Nest_Run_Milano_Test36_13x13_"+str(nest.Rank())+"_Pot1.43PotStr148v3Long3.dat"
214 #check the existence of the files being read
215 ImpFil=ImportIniLIFCA(files);
216 ImpFil.FilesControllo()
217
218 #extract the information of interest from the files.ini and transfer them to the files:
219 #InfoPerseo,InfoBuild,InfoConnectPop,InfoConnectNoise
220
221 stampa=0; #stampa=1 print output simulation data on screen stampa=0 dont
222 InfoPerseo,InfoBuild,InfoConnectPop,InfoConnectNoise,InfoProtocol=ImpFil.Estrai_inf(stampa)
223
224 # InfoPerseo=["NeuronType","DelayDistribType","SynapticExtractionType","Life" ]
225 # InfoBuild=[numero di popolazioni,
226 # [N,C_ext,\nu_ext,\tau,\tetha,H,\tau_arp,NeuronInitType,\alpha_c,\tau_c,g_c],
227 # [.....],[],...]
228 # InfoConnectPop=[numero di popolazioni,
229 # [post,pre,c,Dmin,Dmax,syn typ,J,DJ],
230 # [.....],[],...]
231 # InfoConnectNoise=[numero di popolazioni,
232 # [J_ext,DJ_ext],
233 # [.....],[],...]
234 # InfoProtocol=[[time,population,param_num,value],
235 # [.....],[],...]
236 {{/code}}
237
238 === Defining general and nest.kernel parameters ===
239
240 {{code language="python"}}
241 #############################------------------------------------------------------------------------
242 #Clean the Network
243 #############################------------------------------------------------------------------------
244 nest.ResetKernel()
245
246 #############################------------------------------------------------------------------------
247 #insert the introductory parameters of the simulation
248 #############################------------------------------------------------------------------------
249
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
326 === [[image:image-20220127165908-2.png||height="659" width="1149"]] ===
327
328 === Connecting the network nodes: neuronal populations, Poisson processes and spike detectors ===
329
330 {{code language="python"}}
331 #############################------------------------------------------------------------------------
332 print("Connecting ")
333 #############################------------------------------------------------------------------------
334
335 startconnect = time.time()
336 Connessioni=[]
337 Medie=[]
338
339 #create and define the connections between the populations of neurons and the poisson generators
340 #and between the populations of neurons and the spike detectors with the parameters extracted from the.ini files
341
342 for i in range(0,int(InfoBuild[0])):
343 nest.Connect(NoisePop[i], NeuronPop[i], syn_spec={'synapse_model': 'static_synapse_hpc',
344 'delay': dt,
345 'weight': nest.math.redraw(nest.random.normal(mean=float(InfoConnectNoise[i+1][0]),
346 std=(float(InfoConnectNoise[i+1][1])*float(InfoConnectNoise[i+1][0]))),
347 min=0., max=float('Inf'))
348 })
349 nest.Connect(NeuronPop[i][:int(InfoBuild[i+1][0])], DetectorPop[i], syn_spec={"weight": 1.0, "delay": dt})
350
351 #create and define the connections between the populations of neurons with the parameters extracted from the.ini files
352
353 for i in range(0,len(InfoConnectPop[1:])):
354
355 conn=nest.Connect(NeuronPop[int(InfoConnectPop[i+1][1])], NeuronPop[int(InfoConnectPop[i+1][0])],
356 {'rule': 'pairwise_bernoulli',
357 'p':float(InfoConnectPop[i+1][2]) },
358 syn_spec={'synapse_model': 'static_synapse_hpc',
359 'delay':nest.math.redraw(nest.random.exponential(beta=float(1./(2.99573227355/(float(InfoConnectPop[i+1][4])-float(InfoConnectPop[i+1][3]))))),
360 min= numpy.max([dt,float(1./float(InfoConnectPop[i+1][4]))]),
361 max= float(1./(float(InfoConnectPop[i+1][3])-dt/2))),
362
363 'weight':nest.random.normal(mean=float(InfoConnectPop[i+1][6]),
364 std=math.fabs(float(InfoConnectPop[i+1][6])*float(InfoConnectPop[i+1][7])))})
365
366
367 endconnect = time.time()
368 {{/code}}
369
370 === ===
371
372 === ===
373
374 === [[image:image-20220127170722-1.png]] ===
375
376 === Simulating: neuronal time evolution. ===
377
378 === ===
379
380 {{code language="python"}}
381 #############################------------------------------------------------------------------------
382 print("Simulating")
383 #############################------------------------------------------------------------------------
384 ###################################################################################################################################################################
385 if Salva:
386 print("I m going to save the data")
387 #x=str(iterazioni)
388 f = open(FileName,"w")
389 if len(InfoProtocol):
390 print("I m going to split the simulation")
391 tempo=0
392 for contatore in range(0,len(InfoProtocol)):
393 appoggio1=int((tempo+InfoProtocol[contatore][0])/1000.)
394 appoggio2=int(tempo/1000.)
395 appoggio3=tempo+InfoProtocol[contatore][0]
396 if (appoggio1-appoggio2)>=1:
397 T1=(1+appoggio2)*1000-tempo
398 nest.Simulate(T1)
399 #Save the Data!!!!
400 ###########################################################
401 Equilibri=[]
402 for i in range(0,int(InfoBuild[0])):
403 Equilibri.append([])
404 a=nest.GetStatus(DetectorPop[i])[0]["events"]["times"]
405 if len(a)>0:
406 Trange=(1000*int(numpy.min(a)/1000.),1000*int(numpy.min(a)/1000.)+1000)
407 hist,Tbin=numpy.histogram(a,200,(Trange[0],Trange[1]))
408 Equilibri[i]=hist*1000./(5.*int(InfoBuild[i+1][0]))
409 else:
410 Trange=(1000*int(tempo/1000.),1000*int(tempo/1000.)+1000)
411 hist=numpy.zeros(200)
412 Tbin=numpy.linspace(Trange[0],Trange[1],num=201)
413 Equilibri[i]=hist
414 nest.SetStatus(DetectorPop[i],{'n_events':0})
415 for j in range(0,len(hist)):
416 f.write(str(Tbin[j])+" ")
417 for i in range(0,int(InfoBuild[0])):
418 f.write(str(Equilibri[i][j])+" ")
419 f.write("\n ")
420 ###########################################################
421 tempo=tempo+T1
422 for contatore2 in range(1,(appoggio1-appoggio2)):
423 nest.Simulate(1000.)
424 #Save the Data!!!!
425 ###########################################################
426 Equilibri=[]
427 for i in range(0,int(InfoBuild[0])):
428 Equilibri.append([])
429 a=nest.GetStatus(DetectorPop[i])[0]["events"]["times"]
430 if len(a)>0:
431 Trange=(1000*int(numpy.min(a)/1000.),1000*int(numpy.min(a)/1000.)+1000)
432 hist,Tbin=numpy.histogram(a,200,(Trange[0],Trange[1]))
433 Equilibri[i]=hist*1000./(5.*int(InfoBuild[i+1][0]))
434 else:
435 Trange=(1000*int(tempo/1000.),1000*int(tempo/1000.)+1000)
436 hist=numpy.zeros(200)
437 Tbin=numpy.linspace(Trange[0],Trange[1],num=201)
438 Equilibri[i]=hist
439 nest.SetStatus(DetectorPop[i],{'n_events':0})
440 for j in range(0,len(hist)):
441 f.write(str(Tbin[j])+" ")
442 for i in range(0,int(InfoBuild[0])):
443 f.write(str(Equilibri[i][j])+" ")
444 f.write("\n ")
445 tempo=tempo+1000.
446 T2=appoggio3-tempo
447 nest.Simulate(T2);
448 tempo=tempo+T2;
449 else:
450 nest.Simulate(InfoProtocol[contatore][0])
451 temp=InfoProtocol[contatore][0]
452 tempo=tempo+temp
453 if InfoProtocol[contatore][2]==4:
454 nest.SetStatus(NoisePop[InfoProtocol[contatore][1]],params={"rate": float(InfoBuild[1+InfoProtocol[contatore][1]][2]*InfoProtocol[contatore][3])})
455 if InfoProtocol[contatore][2]==12:
456 nest.SetStatus(NeuronPop[InfoProtocol[contatore][1]], params={"b": float(InfoProtocol[contatore][3])})
457 else:
458 nest.Simulate(simtime)
459 tempo=simtime
460 if (simtime-tempo)>0.:
461 nest.Simulate(simtime-tempo)
462
463
464 endsimulate = time.time()
465 f.close()
466 else:
467 if len(InfoProtocol):
468 tempo=0
469 for contatore in range(0,len(InfoProtocol)):
470 nest.Simulate(InfoProtocol[contatore][0])
471 temp=InfoProtocol[contatore][0]
472 tempo=tempo+temp
473 if InfoProtocol[contatore][2]==4:
474 nest.SetStatus(NoisePop[InfoProtocol[contatore][1]],params={"rate": float(InfoBuild[1+InfoProtocol[contatore][1]][2]*InfoProtocol[contatore][3])})
475 #print "Population:", InfoProtocol[contatore][1] ,";Parameter:", InfoProtocol[contatore][2] ,"; Value: ",InfoProtocol[contatore][3]
476 if InfoProtocol[contatore][2]==12:
477 nest.SetStatus(NeuronPop[InfoProtocol[contatore][1]], params={"b": float(InfoProtocol[contatore][3])})
478 #print "Population:", InfoProtocol[contatore][1] ,";Parameter:", InfoProtocol[contatore][2] ,"; Value: ",InfoProtocol[contatore][3]
479
480 else:
481 nest.Simulate(simtime)
482 tempo=simtime
483 if (simtime-tempo)>0.:
484 nest.Simulate(simtime-tempo)
485 endsimulate = time.time()
486
487
488 ###################################################################################################################################################################
489
490 #############################------------------------------------------------------------------------
491 #print some information from the simulation
492 #############################------------------------------------------------------------------------
493
494 num_synapses = nest.GetDefaults('static_synapse_hpc')["num_connections"]
495 build_time = endbuild - startbuild
496 connect_time = endconnect - startconnect
497 sim_time = endsimulate - endconnect
498
499 N_neurons=0
500 for i in range(0,int(InfoBuild[0])):
501 N_neurons=N_neurons+int(InfoBuild[i+1][0])
502
503 print(" Network simulation (Python) neuron type:",InfoPerseo[0])
504 print("Number of neurons : {0}".format(N_neurons))
505 print("Number of synapses: {0}".format(num_synapses))
506 print("Building time : %.2f s" % build_time)
507 print("Connecting time : %.2f s" % connect_time)
508 print("Simulation time : %.2f s" % sim_time)
509
510 Fine=time.time()
511 print ("Total Simulation time : %.2f s" % (Fine-Inizio))
512 {{/code}}
513
514 === ===
515
516 === ===
517
518 (% class="wikigeneratedid" %)
519 === [[image:image-20220127171242-1.png]] ===
520
521 === Results: ===
522
523 the output of this simulationo is...
524
525
526
527
528
529
530 ==== ====