I created a complete simulation with the NRP 2.3 including a robot called spikebot, a world called
four_obstacles and a lot of transfer functions. Right now I am trying to exchange the pyNN.nest brain brain_spikebot.py with a pure nest brain since I want to use a new neuron model which I have already
implemented in nest. This seems the easiest way for me to get results soon.
In the current simulation the transfer function grab_events receives events from the DVS module implemented in the NRP and creates a spike source “input_neurons” which maps the events onto the brain population nrp.brain.sensors. Since I modified the neuron populations from pyNNest models to nest models the mapping doesn’t seem to work anymore. The function grab_events returns me the ERROR “‘int’ object is not iterable” but I don’t understand why the transfer function receives an int object instead of a list and what I have
I would be very grateful if you could try out both simulations. I appended them as zip files. template_new_pyNN.zip should work without problems while template_new_nest.zip doesn’t
work at all. It might be that you have to add the dvs plugin to your NRP install before any of the two
simulation works, which can be found here: https://github.com/HBPNeurorobotics/gazebo_dvs_plugin
I would very greatful for any help since I’ve been working on this for a few month and would
be very glad to see results soon.
I renamed the files to txt since zip is not allowed. The txt ending has to be removed
Thank you very much and best regards,
Research Assistant and PhD student at
Neuromorphic Behaving Systems group
Technical Faculty, Bielefeld University