# -*- coding: utf-8 -*-
#
#
# TheVirtualBrain-Framework Package. This package holds all Data Management, and
# Web-UI helpful to run brain-simulations. To use it, you also need do download
# TheVirtualBrain-Scientific Package (for simulators). See content of the
# documentation-folder for more details. See also http://www.thevirtualbrain.org
#
# (c) 2012-2022, Baycrest Centre for Geriatric Care ("Baycrest") and others
#
# This program is free software: you can redistribute it and/or modify it under the
# terms of the GNU General Public License as published by the Free Software Foundation,
# either version 3 of the License, or (at your option) any later version.
# This program is distributed in the hope that it will be useful, but WITHOUT ANY
# WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A
# PARTICULAR PURPOSE. See the GNU General Public License for more details.
# You should have received a copy of the GNU General Public License along with this
# program. If not, see <http://www.gnu.org/licenses/>.
#
#
# CITATION:
# When using The Virtual Brain for scientific publications, please cite it as follows:
#
# Paula Sanz Leon, Stuart A. Knock, M. Marmaduke Woodman, Lia Domide,
# Jochen Mersmann, Anthony R. McIntosh, Viktor Jirsa (2013)
# The Virtual Brain: a simulator of primate brain network dynamics.
# Frontiers in Neuroinformatics (7:10. doi: 10.3389/fninf.2013.00010)
#
#
from enum import Enum
from functools import partial
from tvb.core.entities.file.simulator.view_model import HeunDeterministicViewModel, HeunStochasticViewModel, \
EulerDeterministicViewModel, EulerStochasticViewModel, RungeKutta4thOrderDeterministicViewModel, IdentityViewModel, \
VODEViewModel, VODEStochasticViewModel, Dopri5ViewModel, Dopri5StochasticViewModel, Dop853ViewModel, \
Dop853StochasticViewModel, AdditiveNoiseViewModel, MultiplicativeNoiseViewModel
from tvb.datatypes.equations import *
LINEAR_EQUATION = 'Linear'
GAUSSIAN_EQUATION = 'Gaussian'
DOUBLE_GAUSSIAN_EQUATION = 'Mexican-hat'
SIGMOID_EQUATION = 'Sigmoid'
GENRALIZED_SIGMOID_EQUATION = 'GeneralizedSigmoid'
SINUSOID_EQUATION = 'Sinusoid'
COSINE_EQUATION = 'Cosine'
ALPHA_EQUATION = 'Alpha'
PULSE_TRAIN_EQUATION = 'PulseTrain'
[docs]def get_ui_name_to_equation_dict():
eq_name_to_class = {
LINEAR_EQUATION: Linear,
GAUSSIAN_EQUATION: Gaussian,
DOUBLE_GAUSSIAN_EQUATION: DoubleGaussian,
SIGMOID_EQUATION: Sigmoid,
GENRALIZED_SIGMOID_EQUATION: GeneralizedSigmoid,
SINUSOID_EQUATION: Sinusoid,
COSINE_EQUATION: Cosine,
ALPHA_EQUATION: Alpha,
PULSE_TRAIN_EQUATION: PulseTrain
}
return eq_name_to_class
[docs]def get_ui_name_to_noise_dict():
ui_name_to_noise = {
'Additive': AdditiveNoiseViewModel,
'Multiplicative': MultiplicativeNoiseViewModel
}
return ui_name_to_noise
[docs]def get_integrator_name_list():
return ['Heun', 'Stochastic Heun', 'Euler', 'Euler-Maruyama', 'Runge-Kutta 4th order', 'Difference equation',
'Variable-order Adams / BDF', 'Stochastic variable-order Adams / BDF', 'Dormand-Prince, order (4, 5)',
'Stochastic Dormand-Prince, order (4, 5)', 'Stochastic Dormand-Prince, order (4, 5)',
'Stochastic Dormand-Prince, order 8 (5, 3)']
[docs]def get_ui_name_to_integrator_dict():
ui_name_to_integrator = {
'Heun': HeunDeterministicViewModel,
'Stochastic Heun': HeunStochasticViewModel,
'Euler': EulerDeterministicViewModel,
'Euler-Maruyama': EulerStochasticViewModel,
'Runge-Kutta 4th order': RungeKutta4thOrderDeterministicViewModel,
'Difference equation': IdentityViewModel,
'Variable-order Adams (BDF)': VODEViewModel,
'Stochastic variable-order Adams (BDF)': VODEStochasticViewModel,
'Dormand-Prince, order (4, 5)': Dopri5ViewModel,
'Stochastic Dormand-Prince, order (4, 5)': Dopri5StochasticViewModel,
'Dormand-Prince, order 8 (5, 3)': Dop853ViewModel,
'Stochastic Dormand-Prince, order 8 (5, 3)': Dop853StochasticViewModel,
}
return ui_name_to_integrator