norse.torch.functional.iaf.IAFParameters

class norse.torch.functional.iaf.IAFParameters(v_th: Tensor = tensor(1.), v_reset: Tensor = tensor(0.), method: str = 'super', alpha: float = tensor(100.))

Parametrization of an integrate-and-fire neuron

Parameters:

v_th (torch.Tensor): threshold potential in mV v_reset (torch.Tensor): reset potential in mV method (str): method to determine the spike threshold

(relevant for surrogate gradients)

alpha (float): hyper parameter to use in surrogate gradient computation

__init__()

Methods

__init__()
count(value, /)	Return number of occurrences of value.
index(value[, start, stop])	Return first index of value.

Attributes

alpha	Alias for field number 3
method	Alias for field number 2
v_reset	Alias for field number 1
v_th	Alias for field number 0