Hello!
The neural-network simulation I’m working with does output an array of spike times for each neuron. Rereading through the reference paper, though, that’s useful only if you can correlate it to a particular input; each input (pattern of stimulation based on sensor values) is correlated to a particular pattern of spiking, which is then translated into the action-command for the robot.
Since I can’t (or haven’t yet figured out how to) ‘stimulate’ the neuronal network I’m working with, I thought it might be a good idea to just choose a random pattern and see if I could write code to pick it out.
Here’s the situation I’ve decided on: neurons in the simulation (I’m now using 12) will spike, and I’ll get an output of all their respective spike times. Then I intervene and pick the three with the most spiking. Tell me at what time all three are spiking together.