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Open NEST Developer Video Conference Monday July 15, at 11:30 CEST (UTC+0200)

by Dennis Terhorst

Dear NEST Users & Developers! I would like to invite you to our next fortnightly Open NEST Developer Video Conference today *Monday July 15, at 11:30 CEST (UTC+0200).* As usual, in the Project team round, a contact person of each team will give a short statement summarizing ongoing and planned work in the team and highlight cross-cutting points that need discussion among the teams. The remainder of the meeting we would go into a more in-depth discussion of topics that came up on the mailing list or that are suggested by the teams. Feel free to join the meeting also if it’s just to bring your own quick questions for direct discussion in the in-depth section. Agenda * Welcome * Review of NEST User Mailing List * Project team round * In-depth discussion The agenda for this meeting is also available online, see https://github.com/nest/nest-simulator/wiki/2024-07-15-Open-NEST-Developer-… <https://github.com/nest/nest-simulator/wiki/2024-07-15-Open-NEST-Developer-…> Looking forward to seeing you soon! Cheers, Dennis Terhorst Log-in information We use a virtual conference room provided by DFN <https://www.dfn.de/en/> (Deutsches Forschungsnetz). You can use the web client to connect. We however encourage everyone to use a headset for better audio quality or even a proper video conferencing system (see below) or software when available. Web client * Visit https://conf.dfn.de/webapp/conference/97938800 <https://conf.dfn.de/webapp/conference/97938800> * Enter your name and allow your browser to use camera and microphone * The conference does not need a PIN to join, just click join and you’re in. In case you see a dfnconf logo and the phrase “Auf den Meetingveranstalter warten”, just be patient, the meeting host needs to join first (a voice will tell you). VC system/software How to log in with a video conferencing system, depends on you VC system or software. * Using the H.323 protocol (eg Polycom): |vc.dfn.net##97938800| or |194.95.240.2##97938800| * Using the SIP protocol:97938800@vc.dfn.de <mailto:97938800@vc.dfn.de> * By telephone: |+49-30-200-97938800| For those who do not have a video conference system or suitable software, Polycom provides a pretty good free app for iOS and Android, so you can join from your tablet (Polycom RealPresence Mobile, available from AppStore/PlayStore). Note that firewalls may interfere with videoconferencing in various and sometimes confusing ways. For more technical information on logging in from various VC systems, please see http://vcc.zih.tu-dresden.de/index.php?linkid=1.1.3.4 <http://vcc.zih.tu-dresden.de/index.php?linkid=1.1.3.4> -- Dipl.-Phys. Dennis Terhorst Coordinator Software Development Institute for Advanced Simulation (IAS-6) Computational and Systems Neuroscience & JARA-Institute Brain Structure-Function Relationships (INM-10) Institute of Neuroscience and Medicine Jülich Research Center, Member of the Helmholz Association 52425 Jülich, Germany http://www.csn.fz-juelich.de/ Phone +49 2461 61-85062 ---------------------------------------------------------------------- Forschungszentrum Jülich GmbH 52425 Jülich Sitz der Gesellschaft: Jülich Eingetragen im Handelsregister des Amtsgerichts Düren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschäftsführung: Prof. Dr. Astrid Lambrecht (Vorsitzende), Karsten Beneke (stellv. Vorsitzender), Prof. Dr. Ir. Pieter Jansens ----------------------------------------------------------------------

2 days, 22 hours

3
3
0 0

stdp synapse nestml erro

by Chris Huyck

I'm working with the nestml 7.0.2. I got the example models from https://github.com/nest/nestml/blob/v7.0.2/models/neurons/hill_tononi.nestml this git tree. I tried three different stdp models including stdp_triplet_naive.nestml. All give AssertionError: Synapses only support one spiking input port when I generate_target in python. -Chris

3 days, 4 hours

2
1
0 0

nestml synapses in pyNN

by Chris Huyck

I've taken your noisy_synapse model and got that to run in pyNest. When I try it in PyNN it fails (can't find weight if you set w, weight not an argument if you use weight). I understand that you don't support pyNN. Do you support SpiNNaker (as it's a target)? If so, how do you access the model on SpiNNaker? (I only access SpiNNaker through PyNN). -Chris

4 days, 4 hours

2
1
0 0

nestml syntax problem

by Chris Huyck

I was using an old version of nest (3.5) and nestml. Someone sent me a nestml model, and that worked. I wanted to make my own model, but the tutorials had a different format. In particular, it seems like the first line of code in the tutorials start with model, and the old version started with neuron of synapse. So, I thought it was time to upgrade, so installed nest 3.7, and pip-ed nestml. (I also installed PyNN as that's the way I typically work.) When I imported generate_target (through python 3.12), I got the typical PyGSL warning; I think that's because I'm using python 3.12 not 3.11, and I don't think it matters in this case. Then I ran the generate_target and I got an error mismatched input 'model' expecting {newline, 'neuron', 'synapse} I expect there's something like a yacc table that specifies the syntax, and somehow I've got the old syntax. I've tried it with several version of nestml 7.0.2, 7.0.0, 6.0.0 and 5.0.0. I think 5.0.0 had the old syntax. I've tried several models from the library, and the Izhikevich tutorial. Any thoughts about how to fix it? -Chris

1 week, 1 day

3
10
0 0

Inject analog signal in a neuron

by Maryada Maryada

Dear NEST Users, Could anyone recommend the best way to inject a fluctuating current over time. A sample signal [image: image.png] -- Thanks and Regards *Maryada*

1 week, 2 days

2
1
0 0

Order or Computation

by carriere.maxime93＠gmail.com

Hello everyone, I am trying to replicate our brain-constrained model to NEST. In our model the computation of the inhibition occurs before the inhibition. I believe it's the other way round in NEST. I was wondering, where the order of computation was implemented in NEST and if that was possible to change it. Best, Maxime

2 weeks, 4 days

1
0
0 0

e-prop tutorial missing data file

by Xavier Otazu

Hi! Looking at the e-prop tutorial (https://nest-simulator.readthedocs.io/en/v3.7/auto_examples/eprop_plasticit…), the chaos_handwriting.txt datafile is needed. Where can I find this file? Thanks a lot in advance! Xavier

3 weeks, 1 day

3
2
0 0

Open NEST Developer Video Conference Monday July 1, at 11:30 CEST (UTC+0200)

by Dennis Terhorst

Dear NEST Users & Developers! I would like to invite you to our next fortnightly Open NEST Developer Video Conference today *Monday July 1, at 11:30 CEST (UTC+0200).* As usual, in the Project team round, a contact person of each team will give a short statement summarizing ongoing and planned work in the team and highlight cross-cutting points that need discussion among the teams. The remainder of the meeting we would go into a more in-depth discussion of topics that came up on the mailing list or that are suggested by the teams. Feel free to join the meeting also if it’s just to bring your own quick questions for direct discussion in the in-depth section. Agenda * Welcome * Review of NEST User Mailing List * Project team round * In-depth discussion The agenda for this meeting is also available online, see https://github.com/nest/nest-simulator/wiki/2024-07-01-Open-NEST-Developer-… <https://github.com/nest/nest-simulator/wiki/2024-07-01-Open-NEST-Developer-…> Looking forward to seeing you soon! Cheers, Dennis Terhorst Log-in information We use a virtual conference room provided by DFN <https://www.dfn.de/en/> (Deutsches Forschungsnetz). You can use the web client to connect. We however encourage everyone to use a headset for better audio quality or even a proper video conferencing system (see below) or software when available. Web client * Visit https://conf.dfn.de/webapp/conference/97938800 <https://conf.dfn.de/webapp/conference/97938800> * Enter your name and allow your browser to use camera and microphone * The conference does not need a PIN to join, just click join and you’re in. In case you see a dfnconf logo and the phrase “Auf den Meetingveranstalter warten”, just be patient, the meeting host needs to join first (a voice will tell you). VC system/software How to log in with a video conferencing system, depends on you VC system or software. * Using the H.323 protocol (eg Polycom): |vc.dfn.net##97938800| or |194.95.240.2##97938800| * Using the SIP protocol:97938800@vc.dfn.de <mailto:97938800@vc.dfn.de> * By telephone: |+49-30-200-97938800| For those who do not have a video conference system or suitable software, Polycom provides a pretty good free app for iOS and Android, so you can join from your tablet (Polycom RealPresence Mobile, available from AppStore/PlayStore). Note that firewalls may interfere with videoconferencing in various and sometimes confusing ways. For more technical information on logging in from various VC systems, please see http://vcc.zih.tu-dresden.de/index.php?linkid=1.1.3.4 <http://vcc.zih.tu-dresden.de/index.php?linkid=1.1.3.4> -- Dipl.-Phys. Dennis Terhorst Coordinator Software Development Institute for Advanced Simulation (IAS-6) Computational and Systems Neuroscience & JARA-Institute Brain Structure-Function Relationships (INM-10) Institute of Neuroscience and Medicine Jülich Research Center, Member of the Helmholz Association 52425 Jülich, Germany http://www.csn.fz-juelich.de/ Phone +49 2461 61-85062 ---------------------------------------------------------------------- Forschungszentrum Jülich GmbH 52425 Jülich Sitz der Gesellschaft: Jülich Eingetragen im Handelsregister des Amtsgerichts Düren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschäftsführung: Prof. Dr. Astrid Lambrecht (Vorsitzende), Karsten Beneke (stellv. Vorsitzender), Prof. Dr. Ir. Pieter Jansens ----------------------------------------------------------------------

3 weeks, 5 days

1
0
0 0

Questions about Neuron Update Mechanism and Spike Event Handling in Source Code

by anh.phan＠tuni.fi

Hi, I've been trying to read through the source code to understand this, but I'm still having trouble figuring it out. From what I can see, the neurons are updated using a for loop, meaning each neuron is updated one at a time. The update function for each neuron can run for multiple timesteps, but I'm unclear on how its B_.input_buffer_ gets updated while the update function is running. If it doesn't get updated during this process, wouldn't it miss some spike events? Additionally, how does the code ensure that neurons updated one at a time for all simulation steps do not miss any spike events? Thank you for your help! Best regards, Anh Phan

1 month

3
4
0 0

Enhancement of C++ implementation of DumpLayerConnections()

by Xavier Otazu

Hi! After using some PyNEST functions and modifying the C++ implementation of DumpLayerConnections(), I was thinking on a possible further improvement of this function (or creating a new function). But since I do not know the design and architecture of C++ nestkernel code, I prefer to ask. In my code I normalize the presynaptic connections of every neuron. To do this, I originally do something like for i in range(len(target_layer)) conn[i] = nest.GetConnections(source_layer, target_layer, synapse_model) normalize(conn) Since I am using MPI and the loop iterates over all the neurons, I modified the previous code to local_nodes = nest.GetLocalNodeCollection(target_layer) local_nodes = nest.NodeCollection(local_nodes) for i in range(len(local_nodes)) conn[i] = nest.GetConnections(source_layer, local_nodes, synapse_model) normalize(conn) This last code is faster that the previous one (I guess that local_nodes variable is local to every MPI process and, as a consequence, GetConnections() is more efficient because it only works with local nodes instead of with all of them). Using the idea of the GetLocalNodeCollection(), I was thinking it could be used into the C++ implementation of DumpLayerConnections(). Presently, this function obtain all the connections between source and target layers. Could it be possible to call the equivalent C++ implementation of GetLocalCollection()? I understand that the problem is that, since DumpLayerConnections() needs the spatial information of the layers, the node collections obtained with GetLocalNodeCollection() (I guess similarly its C++ implementation) does not have this spatial information. As a second possibility, I was thinking on adding a new method (GetSpatialInformation()) and enhancing DumpLayerConnections() (or add a new function). The GetSpatialInformation() function could return the spatial information of a collection of nodes (the ones obtained by GetLocalNodeCollection() ). The DumpLayerConnections() (or a new function) could be enhanced by changing the target layer parameter to a pair of parameters that contain the local nodes collection and their spatial information. Something like DumpLaterConnections(source_layer, local_nodes_collection, spatial_information, synapse_model). This way DumpLayerConnections() will only used local nodes and would be much faster. Sorry for the technical email. Xavier

1 month

3
6
0 0

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