A tutorial for neurolib will be held at the CNS*2022 satellite tutorials.
This tutorial is intended researchers interested in learning how to use neurolib for simulating, exploring, and optimizing neural mass models and whole-brain networks.
Registration for the satellite tutorials is free, but required. Register here 👈.
| import numpy as np | |
| aal2 = { | |
| 1: "Precentral_L", | |
| 2: "Precentral_R", | |
| 3: "Frontal_Sup_2_L", | |
| 4: "Frontal_Sup_2_R", | |
| 5: "Frontal_Mid_2_L", | |
| 6: "Frontal_Mid_2_R", | |
| 7: "Frontal_Inf_Oper_L", |
| import pandas as pd | |
| import matplotlib.pyplot as plt | |
| import datetime | |
| import matplotlib.dates as mdates | |
| table_urls = ["https://www.wahlrecht.de/umfragen/allensbach.htm", | |
| "https://www.wahlrecht.de/umfragen/emnid.htm", | |
| "https://www.wahlrecht.de/umfragen/forsa.htm", | |
| "https://www.wahlrecht.de/umfragen/politbarometer.htm", | |
| "https://www.wahlrecht.de/umfragen/gms.htm", |
| import numpy as np | |
| plt.rcParams['image.cmap'] = 'plasma' | |
| import matplotlib.pyplot as plt | |
| from neurolib.utils.loadData import Dataset | |
| ds = Dataset("hcp") | |
| mat_orig = ds.Cmats[0] | |
| N = mat_orig.shape[0] |
| from neurolib.models.aln import ALNModel | |
| from neurolib.utils.loadData import Dataset | |
| from neurolib.optimize.exploration import BoxSearch | |
| from neurolib.utils.parameterSpace import ParameterSpace | |
| # load brain scan dataset | |
| ds = Dataset("hcp") | |
| # initialize brain network model | |
| model = ALNModel(Cmat = ds.Cmat, Dmat = ds.Dmat) | |
| # 5 minute simulation |