Source code for tvb.simulator.models.linear

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"""
Generic linear model.
"""

import numpy
from .base import Model
from tvb.basic.neotraits.api import NArray, Final, List, Range


[docs] class Linear(Model): gamma = NArray( label=r":math:`\gamma`", default=numpy.array([-10.0]), domain=Range(lo=-100.0, hi=0.0, step=1.0), doc="The damping coefficient specifies how quickly the node's activity relaxes, must be larger" " than the node's in-degree in order to remain stable.") state_variable_range = Final( label="State Variable ranges [lo, hi]", default={"x": numpy.array([-1, 1])}, doc="Range used for state variable initialization and visualization.") variables_of_interest = List( of=str, label="Variables watched by Monitors", choices=("x",), default=("x",), ) coupling_terms = Final( label="Coupling terms", # how to unpack coupling array default=["c"] ) state_variable_dfuns = Final( label="Drift functions", default={ "x": "gamma * x + c", } ) parameter_names = List( of=str, label="List of parameters for this model", default=tuple('gamma'.split())) state_variables = ('x',) _nvar = 1 cvar = numpy.array([0], dtype=numpy.int32)
[docs] def dfun(self, state, coupling, local_coupling=0.0): """ .. math:: x = a{\gamma} + b """ x, = state c, = coupling dx = self.gamma * x + c + local_coupling * x return numpy.array([dx])