Describing the tuning curve parameters

I want to feed in the tuning curve values in a manner that a neuron responds in a specific range. for example, the neuronal response increases with the increase in input but also decreases steadily after a point. I am trying to mimic the tuning curve obtained from auditory stimuli in certain brain regions. I want the tuning curve to look like.

I am looking for a Gaussian distribution curve in my tuning curve. I have specific values at each ILD (input) and I have values for spike count (output). I am looking for a way to feed this in nengo and get desired output of neurons.

Can someone help me with this?