from tvb.simulator.models.base import Model, ModelNumbaDfun
import numpy
from numpy import *
from numba import guvectorize, float64
from tvb.basic.neotraits.api import NArray, Final, List, Range
[docs]class OscillatorT(ModelNumbaDfun):
tau = NArray(
label=":math:`tau`",
default=numpy.array([1.0]),
doc=""""""
)
I = NArray(
label=":math:`I`",
default=numpy.array([0.1]),
doc=""""""
)
a = NArray(
label=":math:`a`",
default=numpy.array([0.5]),
doc=""""""
)
b = NArray(
label=":math:`b`",
default=numpy.array([0.4]),
doc=""""""
)
c = NArray(
label=":math:`c`",
default=numpy.array([-4.0]),
doc=""""""
)
d = NArray(
label=":math:`d`",
default=numpy.array([0.02]),
doc=""""""
)
e = NArray(
label=":math:`e`",
default=numpy.array([3.0]),
doc=""""""
)
f = NArray(
label=":math:`f`",
default=numpy.array([1.0]),
doc=""""""
)
g = NArray(
label=":math:`g`",
default=numpy.array([0.0]),
doc=""""""
)
alpha = NArray(
label=":math:`alpha`",
default=numpy.array([1.0]),
doc=""""""
)
beta = NArray(
label=":math:`beta`",
default=numpy.array([1.0]),
doc=""""""
)
gamma = NArray(
label=":math:`gamma`",
default=numpy.array([1.0]),
doc=""""""
)
state_variable_range = Final(
label="State Variable ranges [lo, hi]",
default={"V": numpy.array([0.0, 0.0]),
"W": numpy.array([0.0, 0.0])},
doc="""state variables"""
)
state_variable_boundaries = Final(
label="State Variable boundaries [lo, hi]",
default={"V": numpy.array([-2.0, 4.0]),
"W": numpy.array([-6.0, 6.0])},
)
variables_of_interest = List(
of=str,
label="Variables or quantities available to Monitors",
choices=('V', 'W', ),
default=('V', 'W', ),
doc="Variables to monitor"
)
state_variables = ['V', 'W']
_nvar = 2
cvar = numpy.array([0,1,], dtype = numpy.int32)
[docs] def dfun(self, vw, c, local_coupling=0.0):
vw_ = vw.reshape(vw.shape[:-1]).T
c_ = c.reshape(c.shape[:-1]).T
deriv = _numba_dfun_OscillatorT(vw_, c_, self.tau, self.I, self.a, self.b, self.c, self.d, self.e, self.f, self.g, self.alpha, self.beta, self.gamma, local_coupling)
return deriv.T[..., numpy.newaxis]
@guvectorize([(float64[:], float64[:], float64, float64, float64, float64, float64, float64, float64, float64, float64, float64, float64, float64, float64, float64[:])], '(n),(m)' + ',()'*13 + '->(n)', nopython=True)
def _numba_dfun_OscillatorT(vw, coupling, tau, I, a, b, c, d, e, f, g, alpha, beta, gamma, local_coupling, dx):
"Gufunc for OscillatorT model equations."
# long-range coupling
c_pop0 = coupling[0]
c_pop1 = coupling[1]
V = vw[0]
W = vw[1]
dx[0] = d * tau * (alpha * W - f * V**3 + e * V**2 + g * V + gamma * I + gamma * c_pop0 * V)
dx[1] = d * (a + b * V + c * V**2 - beta * W) / tau
