[nengo-user] do nengo apply learning rules in simple addition?

[Trevor Bekolay]

If you're interested in simulations that use learning rules, please see the
demos in this section: http://nengo.ca/docs/html/demos/demos.html#learning


On Tue, Mar 5, 2013 at 5:00 PM, Trevor Bekolay <tbekolay at gmail.com> wrote:

> Hello Nihar,
>
> Addition in neural ensembles does not use learning rules for weight
> adjustment. Instead, Nengo solves an optimization problem offline in order
> to find good connection weights; once we find a set of connection weights,
> it never changed.
>
> Some more details on the technical aspects of Nengo can be found in this
> document:
> http://ctnsrv.uwaterloo.ca/cnrglab/sites/ctnsrv.uwaterloo.ca.cnrglab/files/papers/2012-TheNEF-TechReport.pdf.
> The section on Computation, in particular, discusses this.
>
> T
>
>
> On Tue, Mar 5, 2013 at 11:29 AM, nihar srivastav <
> niharsrivastav09 at gmail.com> wrote:
>
>>
>> Hello sir,
>>               I am a student and i am trying to learn nengo.Sir if we
>> simply give two inputs from a file to a neuron ensemble and then try to
>> simply add them up and propagate the result to another ensemble, during
>> this process do nengo apply some implicit learning rules for weight
>> adjustment within an ensemble of neuron or between two ensembles.
>>
>>
>>
>> _______________________________________________
>> nengo-user mailing list
>> nengo-user at ctnsrv.uwaterloo.ca
>> http://ctnsrv.uwaterloo.ca/mailman/listinfo/nengo-user
>>
>>
>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://artsservices.uwaterloo.ca/pipermail/nengo-user/attachments/20130305/635df78c/attachment-0002.html>