SingleExponential

class sinabs.activation.SingleExponential(grad_width: float = 0.5, grad_scale: float = 1.0)

Surrogate gradient as defined in Shrestha and Orchard, 2018.

https://papers.nips.cc/paper/2018/hash/82f2b308c3b01637c607ce05f52a2fed-Abstract.html

__call__(v_mem, spike_threshold)

Call self as a function.

__eq__(other)

Return self==value.

__hash__ = None

__init__(grad_width: float = 0.5, grad_scale: float = 1.0) → None

__repr__()

Return repr(self).

__weakref__

list of weak references to the object (if defined)