[nengo-user] neuron weights

[Chris Eliasmith]

Hi Brian,

Nengo uses the NEF (neural engineering framework) to compute the 
weights. You can think of this as an efficient learning algorithm if you 
want, so the 'patterns' are the sample points in the functions you've 
defined that you want computed.  A python description of the NEF 
algorithm can be found here:

http://nengo.ca/docs/html/nef_algorithm.html

Best,
Chris

Brian Krainer wrote:
> I'm a little confused on how weights between neurons are calculated. 
> In previous neural network software I've used, the network had to be 
> trained on specific patterns in order to calculate the correct weights 
> (using algorithms like back propagation.) It seems that with nengo the 
> weights are computed without seeing any patterns. How is this being done?
>
> Thanks,
>
> Brian
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