[Pcsim-users] fixed spike pattern stimulus

[Robert I. <ri...@gm...>]

Hi,

Thank you Dejan for clarifying what net.reset() does exactly.

Actually what I am trying to do is present a fixed spike pattern stimulus to
the network repeatedly while having plasticity enabled in the network. The
only way I can think of to represent the fixed spike pattern is with neurons
of SpikingInputNeuron class.
The way I go about it now is:
- reset the network
- repeat N times
   - run simulation for 1 sec ( stimulus is 0.5 sec)
   - save the weights of all the plastic synapses
   - reset network
   - restore the weights of the plastic synapses

Is there a more natural way from pypcsim's perspective to "train" a network
with a fixed spiking pattern then saving weights and resetting the network?
More precisely is there any functionality for declaring repetitive or cyclic
stimuli?

Thanks again for the prompt answers.

Regards,
Robert.