I just wanted to see if any of the users could point me in a good direction to start with implementing STDP. This is all for a visual recognition task. I have an SNN set up in Matlab that I am hoping to convert into a Nengo model, It’s a simplified STDP learning rule and a simple IF neurons. The last post on this was a while ago so just wanted to see if anyone had made any progress?
The next step is then tracking of some sort with either a Kalman filter or I could just use a PID controller to move a bounding box, whichever one comes more naturally.
For the team at Waterloo has any undergrads or postgrads tackled any of these issues within a project i’d be interested to see how they got on.