16 Jan
2020
16 Jan
'20
11:43 a.m.
Hi,
Perhaps it helps to note that 100 Poisson generators of rate, say, 10 Hz, is equivalent to
one generator with rate 1000 Hz.
Kind regards,
Charl
On Thu, Jan 16, 2020, at 11:13, Jochen Martin Eppler wrote:
> Hi!
>
> There is no way to get 100 spike generators without creating them
> individually. But as they are pretty efficient with respect to memory
> and performance, I also don't see a problem with that.
>
> Other than that, the description of what you want to achieve is far too
> vague to give you more detailed advice. Please consider sending a figure
> of your planned network topology and/or (pseudo) code that shows what
> you want to do. Also have a look at the example networks for NEST, as
> those contain a lot of useful design patterns for all kinds of
> simulation scenarios:
>
> https://nest-simulator.readthedocs.io/en/latest/examples/index.html
>
> Cheers,
> Jochen!
>
>
> On 07.01.20 16:46, shanka19(a)purdue.edu wrote:
> > Hello everyone,
> >
> > Happy New Year! I want to create a simple neural network consisting of a single
neuron connected by multiple inputs (spike generators). I am aware that I can create
single spike generators and then connect them but it becomes infeasible as the size of
input grows. Is there a way to create a network of maybe 100 spike generators connected to
a single LIF Neuron without explicitly creating 100 of them? Once the connections are made
is there a way that the network is updated when the weights are updated. I want the
network to get updated as I update the weights. Now, I update the weights and reset the
network to create it again with new weights. Any help would be appreciated. Thanks in
advance!
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>
> --
> Dr. Jochen Martin Eppler
> Phone: +49(2461)61-96653
> ----------------------------------
> Simulation Laboratory Neuroscience
> Jülich Supercomputing Centre
> Institute for Advanced Simulation
>
>
>
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