Wiki source code of Code description
Version 6.1 by galluzziandrea on 2021/12/09 14:47
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author | version | line-number | content |
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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" width="90%" title=" | ||
40 | 120%"}} | ||
41 | class ImportIniLIFCA(): | ||
42 | #initialize the information to look for in perseo.ini | ||
43 | inf=["NeuronType", #still fixed value | ||
44 | "DelayDistribType", #still fixed value | ||
45 | "SynapticExtractionType", #still fixed value | ||
46 | "Life"] | ||
47 | |||
48 | def __init__(self,files): | ||
49 | self.files=files | ||
50 | |||
51 | def FilesControllo(self): | ||
52 | import sys | ||
53 | for i in range(0,len(self.files)): | ||
54 | if self.FileControllo(self.files[i]): | ||
55 | sys.exit(0) | ||
56 | |||
57 | def FileControllo(self,file1): | ||
58 | try: | ||
59 | f1=open(file1,"r") | ||
60 | f1.close() | ||
61 | return 0 | ||
62 | except ValueError: | ||
63 | print("ValueError") | ||
64 | return 1 | ||
65 | except IOError as err: | ||
66 | print("OS error: {0}".format(err)) | ||
67 | return 1 | ||
68 | except: | ||
69 | print("Unexpected error:", sys.exc_info()[0]) | ||
70 | return 1 | ||
71 | |||
72 | def Estrai_inf(self,stampa=0): | ||
73 | |||
74 | InfoPerseo=self.EstraiInfoPerseo() #extract info from perseo.ini | ||
75 | AppoggioTempM=self.EstraiInfoModuli() #extract info from modules.ini | ||
76 | AppoggioTempC=self.EstraiInfoConnectivity() #extract info from connectivity.ini | ||
77 | AppoggioTempP=self.EstraiProtocol() #extract info from protocol.ini | ||
78 | |||
79 | def getKey(item): | ||
80 | return item[0] | ||
81 | InfoProtocol=AppoggioTempP | ||
82 | # I convert the extracted information into a suitable format from tuple to list | ||
83 | |||
84 | InfoBuildT=[AppoggioTempM[0]] | ||
85 | for i in range(0,AppoggioTempM[0]): | ||
86 | app1=[int(AppoggioTempM[2][i][0])] | ||
87 | app=(app1+list(AppoggioTempM[2][i][3:9])+list(AppoggioTempM[2][i][12])+list(AppoggioTempM[2][i][9:12])) | ||
88 | InfoBuildT.append(app) | ||
89 | del app | ||
90 | |||
91 | InfoBuild=[float(InfoBuildT[0])] | ||
92 | for i in range(0,int(InfoBuildT[0])): | ||
93 | app=[] | ||
94 | for j in range(0,11): | ||
95 | app.append(float(InfoBuildT[i+1][j])) | ||
96 | InfoBuild=InfoBuild+[app] | ||
97 | del app | ||
98 | |||
99 | InfoConnectPop=[AppoggioTempM[0]] | ||
100 | for i in range(0,len(AppoggioTempC[1][:])): | ||
101 | app=list(AppoggioTempC[1][i]) | ||
102 | InfoConnectPop.append(app) | ||
103 | del app | ||
104 | |||
105 | InfoConnectNoise=[AppoggioTempM[0]] | ||
106 | for i in range(0,AppoggioTempM[0]): | ||
107 | app=list(AppoggioTempM[2][i][1:3]) | ||
108 | InfoConnectNoise.append(app) | ||
109 | |||
110 | |||
111 | if stampa==1: #Print on screen of saved data | ||
112 | for i,j in enumerate(InfoPerseo): | ||
113 | print(self.inf[i],"=",j) | ||
114 | print("\n") | ||
115 | print("the network consists of ", AppoggioTempM[0], " neuronal population" ) | ||
116 | print(AppoggioTempM[1]) | ||
117 | for i in range(0,AppoggioTempM[0]): | ||
118 | print(AppoggioTempM[2][i]) | ||
119 | print("\n") | ||
120 | print(AppoggioTempC[0]) | ||
121 | for i in range(0,AppoggioTempM[0]**2): | ||
122 | print(AppoggioTempC[1][i]) | ||
123 | print("\n") | ||
124 | for i in InfoProtocol: | ||
125 | print("SET_PARAM"+str(i)) | ||
126 | |||
127 | |||
128 | return InfoPerseo,InfoBuild,InfoConnectPop,InfoConnectNoise,InfoProtocol | ||
129 | |||
130 | def EstraiProtocol(self): | ||
131 | import string | ||
132 | f1=open(self.files[3],"r") | ||
133 | ProtocolList= [] | ||
134 | for x in f1.readlines(): | ||
135 | y=x.split() | ||
136 | if len(y): | ||
137 | if x[0]!="#" and y[0]=="SET_PARAM": | ||
138 | try: | ||
139 | ProtocolList.append([float(y[1]),int(y[2]),float(y[3]),float(y[4])]) | ||
140 | except ValueError: | ||
141 | pass | ||
142 | f1.close() | ||
143 | return ProtocolList | ||
144 | |||
145 | def EstraiInfoPerseo(self): | ||
146 | import string | ||
147 | f1=open(self.files[0],"r") | ||
148 | InfList= [] | ||
149 | for x in f1.readlines(): | ||
150 | y=x.split() | ||
151 | if len(y): | ||
152 | if x[0]!="#": | ||
153 | for findinf in self.inf: | ||
154 | try: | ||
155 | temp=y.index(findinf) | ||
156 | InfList.append(y[temp+2]) | ||
157 | except ValueError: | ||
158 | pass | ||
159 | f1.close() | ||
160 | return InfList | ||
161 | |||
162 | def EstraiInfoModuli(self): | ||
163 | import string | ||
164 | f1=open(self.files[2],"r") | ||
165 | NumPop=0 | ||
166 | for i,x in enumerate(f1.readlines()): | ||
167 | y=x.split() | ||
168 | if len(y): | ||
169 | if x[0]!="#": | ||
170 | NumPop=NumPop+1 | ||
171 | if i==2: | ||
172 | ParamList=[] | ||
173 | for j in range(1,14): | ||
174 | ParamList.append(y[j]) | ||
175 | f1.close() | ||
176 | PopsParamList=[] | ||
177 | f1=open(self.files[2],"r") | ||
178 | x=f1.readlines() | ||
179 | for j in range(0,NumPop): | ||
180 | appo=x[4+j]; | ||
181 | PopsParamList.append(appo.split()) | ||
182 | f1.close() | ||
183 | return NumPop,ParamList,PopsParamList | ||
184 | |||
185 | def EstraiInfoConnectivity(self): | ||
186 | import string | ||
187 | f1=open(self.files[1],"r") | ||
188 | PopConParamList=[] | ||
189 | for i,x in enumerate(f1.readlines()): | ||
190 | y=x.split() | ||
191 | if len(y): | ||
192 | if x[0]!="#": | ||
193 | PopConParamList.append(y) | ||
194 | if i==1: | ||
195 | ParamList=[] | ||
196 | for j in range(1,9): | ||
197 | ParamList.append(y[j]) | ||
198 | f1.close() | ||
199 | return ParamList,PopConParamList | ||
200 | {{/code}} | ||
201 | |||
202 | === Import the initialization files: === | ||
203 | |||
204 | in this section we... | ||
205 | |||
206 | {{code language="python"}} | ||
207 | Salva=1 | ||
208 | file1="perseo35.ini" | ||
209 | file2="c_cortsurf_Pot1.43PotStr148v3.ini" | ||
210 | file3="m_cortsurf_Pot1.43.ini" | ||
211 | file4="ProtocolExploration36.ini" | ||
212 | files=[file1,file2,file3,file4] | ||
213 | #define the name of the Output file | ||
214 | FileName="dati/Rates_Nest_Run_Milano_Test36_13x13_"+str(nest.Rank())+"_Pot1.43PotStr148v3Long3.dat" | ||
215 | #check the existence of the files being read | ||
216 | ImpFil=ImportIniLIFCA(files); | ||
217 | ImpFil.FilesControllo() | ||
218 | |||
219 | #extract the information of interest from the files.ini and transfer them to the files: | ||
220 | #InfoPerseo,InfoBuild,InfoConnectPop,InfoConnectNoise | ||
221 | |||
222 | stampa=0; #stampa=1 print output simulation data on screen stampa=0 dont | ||
223 | InfoPerseo,InfoBuild,InfoConnectPop,InfoConnectNoise,InfoProtocol=ImpFil.Estrai_inf(stampa) | ||
224 | |||
225 | # InfoPerseo=["NeuronType","DelayDistribType","SynapticExtractionType","Life" ] | ||
226 | # InfoBuild=[numero di popolazioni, | ||
227 | # [N,C_ext,\nu_ext,\tau,\tetha,H,\tau_arp,NeuronInitType,\alpha_c,\tau_c,g_c], | ||
228 | # [.....],[],...] | ||
229 | # InfoConnectPop=[numero di popolazioni, | ||
230 | # [post,pre,c,Dmin,Dmax,syn typ,J,DJ], | ||
231 | # [.....],[],...] | ||
232 | # InfoConnectNoise=[numero di popolazioni, | ||
233 | # [J_ext,DJ_ext], | ||
234 | # [.....],[],...] | ||
235 | # InfoProtocol=[[time,population,param_num,value], | ||
236 | # [.....],[],...] | ||
237 | {{/code}} | ||
238 | |||
239 | |||
240 | |||
241 | |||
242 | === Results === | ||
243 | |||
244 | ==== ==== |
- 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: