Hey,
i have a camera image that is translated into an input layer, which in turn results in an output layer, so quite a normal approach. The problem comes with the visualization inside of the NRP. I can either get the correct visualization for the input layer (sensors) or output layer (motors), but not both. To clarify, consider the following screenshots:
In the first screenshot, the SpikeMonitor is set to sensors which results in the correct visualization for that layer, but the output layer is wrong:
In this screenshot the SpikeMonitor is set to motors, which results in correct vis. of the output layer but (compare to the picture above) the input layer is wrong:
In a final try i set up circuit = sensors + motors in the brain model, and set the SpikeMonitor to that, which does not work either:
Any advice what is going wrong here?
On a different subject, is there any way to build a custom visualization inside the NRP (aside from flat, cube, sphere…)?
Thanks in advance,
Ben