norse.torch.functional.LSNNParameters

class norse.torch.functional.LSNNParameters(tau_syn_inv: Tensor = tensor(200.), tau_mem_inv: Tensor = tensor(100.), tau_adapt_inv: Tensor = tensor(0.0012), v_leak: Tensor = tensor(0.), v_th: Tensor = tensor(1.), v_reset: Tensor = tensor(0.), beta: Tensor = tensor(1.8000), method: str = 'super', alpha: float = 100.0)

Parameters of an LSNN neuron

Parameters:

tau_syn_inv (torch.Tensor): inverse synaptic time

constant (\(1/\tau_\text{syn}\))

tau_mem_inv (torch.Tensor): inverse membrane time

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

tau_adapt_inv (torch.Tensor): adaptation time constant (\(\tau_b\)) v_leak (torch.Tensor): leak potential v_th (torch.Tensor): threshold potential v_reset (torch.Tensor): reset potential beta (torch.Tensor): adaptation constant

__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 8
beta	Alias for field number 6
method	Alias for field number 7
tau_adapt_inv	Alias for field number 2
tau_mem_inv	Alias for field number 1
tau_syn_inv	Alias for field number 0
v_leak	Alias for field number 3
v_reset	Alias for field number 5
v_th	Alias for field number 4