Adaptive threshold value


Hi, I’m trying to use SNN for classification using PYNN on SpiNNaker.

To create competition among neurons in the excitatory layer, I would like to use an adaptive threshold value (“v_thresh”) instead of fixed value. I need that the every time a excitatory neuron spikes, the parameter “v_thresh” is increased for this specific neuron.

Is it possible?



This is a question about PyNN more than NRP. I’m not sure if you can change neuron parameters in an existing population at runtime.