# -*- 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 to download
# TheVirtualBrain-Scientific Package (for simulators). See content of the
# documentation-folder for more details. See also http://www.thevirtualbrain.org
#
# (c) 2012-2024, 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 explained here:
# https://www.thevirtualbrain.org/tvb/zwei/neuroscience-publications
#
#
from tvb.adapters.forms.noise_forms import get_form_for_noise
from tvb.basic.neotraits.api import TupleEnum, EnumAttr
from tvb.core.entities.file.simulator.view_model import HeunDeterministicViewModel, HeunStochasticViewModel, \
EulerDeterministicViewModel, EulerStochasticViewModel, RungeKutta4thOrderDeterministicViewModel, IdentityViewModel, \
VODEViewModel, VODEStochasticViewModel, Dopri5ViewModel, Dopri5StochasticViewModel, Dop853ViewModel, \
Dop853StochasticViewModel, IntegratorViewModel, AdditiveNoiseViewModel, MultiplicativeNoiseViewModel
from tvb.core.entities.file.simulator.view_model import IntegratorStochasticViewModel
from tvb.core.neotraits.forms import Form, SelectField, FloatField
[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)', 'Dormand-Prince, order 8 (5, 3)',
'Stochastic Dormand-Prince, order 8 (5, 3)']
[docs]
class NoiseTypesEnum(TupleEnum):
ADDITIVE = (AdditiveNoiseViewModel, "Additive")
MULTIPLICATIVE = (MultiplicativeNoiseViewModel, "Multiplicative")