[nengo-user] Adjusting topological connections

[Omar Zahra]

This part I couldn't actually understand from the documentation well. I
thought that It wasn't about getting "the optimal connection weights" , I
just wanted to apply some function for the rate of spikes, and the output
from the function would be input tp the postsynaptic.
Sorry for that misunderstanding , how then would I apply some function to
the rate of spike ?
Thanks for your patience

On Mon, Aug 8, 2016 at 6:04 PM, Terry Stewart <terry.stewart at gmail.com>
wrote:

> I think the problem is that you're trying to specify a function as
> well.  What function are you trying to do?
>
> The problem is that you're specifying the connection weights in two
> different ways.  When you save function=something, Nengo uses that
> function to find the optimal connection weights to approximate that
> function.  So you can't also manually specify the connection weights,
> since that's exactly what you've told nengo to solve for on its own!
>
> Terry
>
> On Mon, Aug 8, 2016 at 12:00 PM, Omar Zahra <omar.zahra at ejust.edu.eg>
> wrote:
> > Hello Terry,
> >
> > Thanks for your reply. I already used this to make a connection.
> > My problem is that I cannot " nengo.Connection(a.neurons, b.neurons,
> > transform=matrix, function = func)" because it must be applied to an
> > Ensemble.
> > I hope you have some solution for this problem.
> >
> > On Mon, Aug 8, 2016 at 5:47 PM, Terry Stewart <terry.stewart at gmail.com>
> > wrote:
> >>
> >> Hello Omar,
> >>
> >> If you want to use Nengo to do manual neuron-to-neuron connection
> >> (i.e. the sort of thing that would happen in a standard neural
> >> simulator), then you need to connection to the ens.neurons object.
> >> For example, here's a quick way to do random connections between two
> >> groups of neurons:
> >>
> >> --------------
> >> import nengo
> >> import numpy as np
> >>
> >> model = nengo.Network()
> >> with model:
> >>     a = nengo.Ensemble(n_neurons=50, dimensions=1)
> >>     b = nengo.Ensemble(n_neurons=50, dimensions=1)
> >>
> >>     matrix = np.random.normal(size=(50, 50))
> >>     nengo.Connection(a.neurons, b.neurons, transform=matrix)
> >> -------------------------
> >>
> >> Let us know if that helps for your situations!
> >>
> >> Also, for future questions, we've just started up an online forum at
> >> https://forum.nengo.ai/
> >>
> >> Terry
> >>
> >> On Mon, Aug 8, 2016 at 9:13 AM, Omar Zahra <omar.zahra at ejust.edu.eg>
> >> wrote:
> >> > Hello,
> >> >
> >> > I am new to NENGO and also just started using python to deal with
> NENGO.
> >> > I
> >> > would like to build part of the brain by connecting some layers. These
> >> > connections are supposed to be topological. I would like also to apply
> >> > some
> >> > function across these connections. When I try to use connection to the
> >> > whole
> >> > ensemble, I cannot define the connections perfectly as done in case of
> >> > making connections neuron by neuron -using Ensemble.neurons[] -. I
> tried
> >> > even increasing the dimensions of the ensemble and setting the
> encoders
> >> > such
> >> > as to give seperate action for each neuron, still some unintended
> >> > response
> >> > appears.
> >> > Reply ASAP please. Thanks in advance
> >> >
> >> > --
> >> > Best Regards
> >> > Omar Ibn ElKhatab AbdAllah Zahra
> >> >
> >> > _______________________________________________
> >> > nengo-user mailing list
> >> > nengo-user at ctnsrv.uwaterloo.ca
> >> > http://ctnsrv.uwaterloo.ca/mailman/listinfo/nengo-user
> >> >
> >
> >
> >
> >
> > --
> > Best Regards
> > Omar Ibn ElKhatab AbdAllah Zahra
>



-- 
Best Regards
Omar Ibn ElKhatab AbdAllah Zahra
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