[nengo-user] normalized average of a variable x over n ensembles of neurons

[Peer Ueberholz]

Hi

I want to compute a normalized average of a variable x over n ensembles of neurons

\bar{x} = \sum_i^n a_i x_i / \sum_1^n a_i

where a_i is the activity of each ensemble, \sum_1^n a_i the sum over the activities of the n ensembles and x_i the value of a variable x assigned to ensemble i.

To implement the sum is possible, although not entirely straightforward. However, the division seems to represent a more serious problem. A possible solution that I've tried is to avoid division is to use logarithms, but this doesn't appear to help much either. Does anyone know a simple method to compute this quantity in Nengo?


Thanks,

Peer