norse.torch.functional.iaf.IAFParameters

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.))[source]#

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