So neurons tuning curves can be linearly weighted to approximate input variables, that I understand. However where does these weighting calculations occur in Nengo?

Thanks

So neurons tuning curves can be linearly weighted to approximate input variables, that I understand. However where does these weighting calculations occur in Nengo?

Thanks

You mentioned the code specifically, so I’m assuming you already know the theory behind solving for weights/decoders. However, if I’m wrong, feel free to ask questions about the theory too.

These weighting calculations occur using an instance of a `nengo.Solver`

passes as an argument into `nengo.Connection(pre, post, solver=nengo.Solver)`

. The default solver is the Least-Squares solver with L2 regularization.

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Yes thanks yes i’m aware of the theory - min squared difference etc.