def rates(self, x, gain, bias):
"""Estimates steady-state firing rate given gain and bias."""
J = self.current(x, gain, bias)
voltage = np.zeros_like(J)
recovery = np.zeros_like(J)
return settled_firingrate(self.step_math, J, [voltage, recovery],
settle_time=0.001, sim_time=1.0)
def rates(self, x, gain, bias):
J = gain * x + bias
voltage = np.zeros_like(J)
recovery = np.zeros_like(J)
return settled_firingrate(self.step_math,
J, [voltage, recovery],
settle_time=0.001,
sim_time=1.0)
def rates(self, x, gain, bias):
"""Estimates steady-state firing rate given gain and bias.
Uses the `nengo.utils.neurons.settled_firingrate` helper function.
"""
J = gain * x + bias
voltage = np.zeros_like(J)
recovery = np.zeros_like(J)
return settled_firingrate(self.step_math, J, [voltage, recovery],
settle_time=0.001, sim_time=1.0)
def rates(self, x, gain, bias):
"""Estimates steady-state firing rate given gain and bias.
Uses the `nengo.utils.neurons.settled_firingrate` helper function.
"""
J = gain * x + bias
voltage = np.zeros_like(J)
recovery = np.zeros_like(J)
return settled_firingrate(self.step_math, J, [voltage, recovery],
settle_time=0.001, sim_time=1.0)
def rates(self, x, gain, bias):
J = gain * x + bias
voltage = np.zeros_like(J)
recovery = np.zeros_like(J)
return settled_firingrate(self.step_math, J, [voltage, recovery],
settle_time=0.001, sim_time=1.0)
