How neuron output is calculated


I am new to Nengo (but am very familiar with neural networks), and am trying to implement a network. I have made a toy example of what I’m struggling with, which contains 2 neuron ensembles (A & B) connecting to a third neuron (C). The output of the third neuron is not stochastic, but rather oscillates between a minimum and maximum at each timestep. I have no idea why this is happening! I would have thought that the output would be a weighted sum of the inputs, and am unsure why this is not the case. I have included a figure of the network and its output.

ToyNetwork.pdf (87.4 KB)
ToyOutput.pdf (671.7 KB)