superneuromat.SNN.simulate#

SNN.simulate(time_steps: int = 1, callback=None, use=None, sparse=None, **kwargs) → None[source]#

Simulate the neuromorphic spiking neural network

Parameters:

  • time_steps (int) – Number of time steps for which the neuromorphic circuit is to be simulated

  • callback (function, optional) – Function to be called after each time step, by default None

  • use (str, default=None) – Which backend to use. Can be ‘auto’, ‘cpu’, ‘jit’, or ‘gpu’. If None, SNN.backend will be used, which is ‘auto’ by default. ‘auto’ will choose a backend based on the network size and time steps.

Raises:

  • TypeError – If time_steps is not an int.

  • ValueError – If time_steps is less than or equal to zero.