jaxsnn.event.ConversionConfig

class jaxsnn.event.ConversionConfig(n_steps: Dict[str, int], t_max: float, backprop_method: str = 'analytical')

Bases: object

Configuration for the conversion from NIR to jaxsnn.

Parameters

• n_steps – Dictionary with number of spikes to simulate per layer.

• t_max – Maximum time for the simulation.

• backprop_method – Either “eventprop” for the EventProp algorithm or “analytical” for the time-to-first-spike solver.

__init__(n_steps: Dict[str, int], t_max: float, backprop_method: str = 'analytical') → None

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__(n_steps, t_max[, backprop_method])

Initialize self.

Attributes

backprop_method

backprop_method: str = 'analytical'

n_steps: Dict[str, int]

t_max: float