norse.torch.functional.lif_box.LIFBoxParameters

norse.torch.functional.lif_box.LIFBoxParameters#

class norse.torch.functional.lif_box.LIFBoxParameters(tau_mem_inv: ~torch.Tensor = tensor(100.), v_leak: ~torch.Tensor = tensor(0.), v_th: ~torch.Tensor = tensor(1.), v_reset: ~torch.Tensor = tensor(0.), method: str = 'super', alpha: float = tensor(100.), reset_method: ~typing.Callable[[~torch.Tensor, ~torch.Tensor, ~torch.Tensor, ~torch.Tensor], ~torch.Tensor] = <function reset_value>)[source]#

Parametrization of a boxed LIF neuron

Parameters:
tau_mem_inv (torch.Tensor): inverse membrane time

constant (\(1/\tau_\text{mem}\)) in 1/ms

v_leak (torch.Tensor): leak potential in mV 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 5

method

Alias for field number 4

reset_method

Alias for field number 6

tau_mem_inv

Alias for field number 0

v_leak

Alias for field number 1

v_reset

Alias for field number 3

v_th

Alias for field number 2