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@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! _______________________________________________ NEST Users mailing list -- users@nest-simulator.org To unsubscribe send an email to users-leave@nest-simulator.org
-- Dr. Jochen Martin Eppler Phone: +49(2461)61-96653 ---------------------------------- Simulation Laboratory Neuroscience Jülich Supercomputing Centre Institute for Advanced Simulation
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