Dear Benedikt,
If time, it might be worth adding this information in the documentation if not available yet, to not trap other people on this.
would you be able to send us a pull request with such information added (or a comment in the code)?
I'm afraid that your initial confusion now kind of qualifies you to judge best where you would have expected to find this ;-)
Cheers,
Jochen!
On 01.02.21 08:24, Hans Ekkehard Plesser wrote:
Hi Benedikt, You may have hit on a bug here. I am not an expert in volume transmitter matters, but a quick look through the code reveals that volume_transmitter::update() stores spike multiplicity here https://github.com/nest/nest-simulator/blob/47b7e43f72317911b3e285daa9ecd4f45688fa5d/models/volume_transmitter.cpp#L117 but that stdp_dopa_connection::process_dopa_spikes_() does not read the multiplicity information in its dopa_spikes argument: https://github.com/nest/nest-simulator/blob/47b7e43f72317911b3e285daa9ecd4f45688fa5d/models/stdp_dopa_connection.h#L446 Could you create an issue on Github, ideally providing a minimal reproducer/test for this issue? Multiplicity handling between neurons is discussed in this issue https://github.com/nest/nest-simulator/issues/77#issuecomment-148995091 Multiplicity is resolved properly in any case when "normal" neurons send spikes to each other, because those spikes are transmitted via send_remote(), which always unrolls multiplicity. Spike trains from devices (any network node class for which has_proxies() returns false) send spikes with multiplicity. So if you connect, e.g., a poisson_generator directly to a volume_transmitter, multiplicity will be ignored if my reading of the code above is right. If you put a parrot_neuron between the poisson_generator and the volume_transmitter, multiplicity should be handled correctly. Best, Hans Ekkehard-- Benedikt Feldotto M.Sc. Research Assistant Human Brain Project - Neurorobotics Technical University of Munich Department of Informatics Chair of Robotics, Artificial Intelligence and Real-Time Systems Room HB 2.02.20 Parkring 13 D-85748 Garching b. München Tel.: +49 89 289 17628 Mail: feldotto@in.tum.de https://www6.in.tum.de/en/people/benedikt-feldotto-msc/ www.neurorobotics.net
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