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No Open NEST Developer VC today
by Hans Ekkehard Plesser 11 Sep '23

11 Sep '23

Dear Colleagues, There will be no NEST Developer Video Conference today. See you again on 25 September at 11.30! Best, Hans Ekkehard -- Prof. Dr. Hans Ekkehard Plesser Department of Data Science Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no<mailto:hans.ekkehard.plesser@nmbu.no> Home http://arken.nmbu.no/~plesser

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A problem running a .nestml file
by Hedyeh Rezaei 01 Sep '23

01 Sep '23

Dear all, I have installed nestml via conda and developed a code describing an LIF neuron with bi-exponential synaptic currents including NMDA, while the charge mediated by AMPA and NMDA receptors are not independent. When I try to compile the .nestml file, it gives me an error as: from pynestml.frontend.pynestml_frontend import generate_nest_target WARNING:root:PyGSL is not available. The stiffness test will be skipped. WARNING:root:Error when importing: No module named 'pygsl' In [2]: generate_nest_target(input_path="/home/hrezaei/neuron_model_NMDA.nestml", ...: target_path="/tmp/nestml-component", ...: logging_level="ERROR") line 61:4 extraneous input 'end' expecting {DEDENT, 'function', 'state', 'parameters', 'internals', 'update', 'equations', 'input', 'output'} line 63:4 extraneous input 'equations' expecting {<EOF>, NEWLINE, 'neuron', 'synapse'} line 64:8 extraneous input ' ' expecting {<EOF>, NEWLINE, 'neuron', 'synapse'} line 67:8 extraneous input 'kernel' expecting {<EOF>, NEWLINE, 'neuron', 'synapse'} line 70:8 extraneous input 'kernel' expecting {<EOF>, NEWLINE, 'neuron', 'synapse'} ... r"""Generate and build code for NEST Simulator. Parameters A dictionary containing additional options for the target code generator. """ I was wondering what the reason could be. I would appreciate it if you could help. Thanks in advance. Best, Hedyeh

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OpenMP: only one thread is used
by Stefan Dvoretskii 30 Aug '23

30 Aug '23

Hello all, I am trying to use as much parallelism as possible on my computing grid. In this sense, I combine MPI+OpenMP. MPI processes are spawned fine, but OpenMP threads always amount to 1, no matter that I set local_num_threads correctly ( https://nest-simulator.readthedocs.io/en/latest/hpc/slurm_script.html#set-l…) as well as all SLURM variables. I am sure I have compiled nest with OpenMP too. I use slightly modified izhikevich neurons with stdp synapses. Can the model specifics be the cause of underutilizing available threads? Or is there something else in the system that could be the reason for that? Best regards, -- Stefan Dvoretskii

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Network simulation of Hanuschkin (2010) - precise spike times
by Evgenia Kartsaki 28 Aug '23

28 Aug '23

Hello, I am trying to simulate the network of a model with precise spike times as in Hanuschkin (2010), which is based on the balanced random network of Brunel (2000). As far as I understand the model of Hanuschkin exists already in NEST here: https://nest-simulator.readthedocs.io/en/v3.5/models/iaf_psc_exp_ps.html . However, I haven't found an example of the network simulation. I have tried using the Brunel network (https://nest-simulator.readthedocs.io/en/stable/auto_examples/brunel_delta_…) with the iaf_psc_exp_ps model, but I got a firing rate (excitatory or inhibitory) of 0 Hz. I would appreciate any advice on that! Thanks in advance, Jenny

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Open NEST Developer Video Conference Monday August 28 2023 11:30 CEST (UTC+2)
by Dennis Terhorst 28 Aug '23

28 Aug '23

Dear NEST Users & Developers! I would like to invite you to our next fortnightly Open NEST Developer Video Conference, today Monday August 28, 11.30-12.30 CEST (UTC+2). Also as usual, in the Project team round, a contact person of each team will give a short statement summarizing ongoing work in the team and 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/2023-08-28-Open-NEST-Developer-… Looking forward to seeing you! Cheers, Dennis Terhorst ------------------ Log-in information ------------------ We use a virtual conference room provided by DFN (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 * 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 - 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

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Finalization of release procedure: NEST 3.5
by Dennis Terhorst 24 Aug '23

24 Aug '23

Dear all, After the quite silent NEST 3.5 release on GitHub in July we have waited a bit to publish the DOI record. Now we have completed the last step of the release process and I am happy to announce the completed NEST Simulator 3.5. When using this version of NEST in your work you can cite it as Haug et al. (2023). NEST 3.5. Zenodo. https://doi.org/10.5281/zenodo.8069926 As usual the full citation record and other citation formats for this and other versions are available on Zenodo. Thanks to all of you for being in this enthusiastic community and a very special thanks to everyone that contributed to this release! We're looking forward to the exciting scientific results you may produce with this tool! Best, Dennis -- Dipl.-Phys. Dennis Terhorst Coordinator Software Development Institute of Neuroscience and Medicine Computational and Systems Neuroscience (INM-6) & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience & JARA (INM-10) Jülich Research Center, Member of the Helmholz Association 52425 Jülich, Germany http://www.csn.fz-juelich.de/ Phone +49 2461 61-85062 ---------------------------------------------------------------------- Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschaeftsfuehrung: Prof. Dr. Astrid Lambrecht (Vorsitzende), Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens ----------------------------------------------------------------------

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GetConnections is too slow- can i obtain connection ids as I connect the neurons? (nest v2.20)
by Angeliki Papadimitriou 24 Aug '23

24 Aug '23

Hello, I have a serious bottleneck in terms of runtime in my simulations. I have a modular cortical network and i need to 'manually' change weights in some specific connections before i start the simulation. The modularity means that this happens inside a for loop for all populations pairs. so, before simulation starts i have a function that goes over all population pairs and does this: AMPA_conns = nest.GetConnections(source=pre_pop,target=post_pop, synapse_model='AMPA_synapse_longrange') # RETRIEVE ALL AMPA CONNECTIONS BETWEEN SOURCE AND TARGET POPULATION nest.SetStatus(AMPA_conns, {'weight': pattern_weight}) # CHANGE CONNECTION WEIGHT NMDA_conns = nest.GetConnections(source=pre_pop,target=post_pop, synapse_model='NMDA_synapse_longrange') # RETRIEVE ALL NMDA CONNECTIONS BETWEEN SOURCE AND TARGET POPULATION nest.SetStatus(NMDA_conns, {'weight': pattern_weight * nmda2ampa_ratio}) # CHANGE CONNECTION WEIGHT commenting out these 4 lines reduces my runtime by 8 hours. for reference, the model consists of ~27000neurons, is created in 20 minutes (nodes generated and connections drawn) and the actual simulation runs for about 15 minutes. so my question is: is there a way to obtain the connection ids as i draw the connections (right after the nest.Connect() function) so that i can store them in a data structure and avoid this expensive operation of searching? or perhaps it is the setstatus that makes it expensive? *I havent yet migrated to nest v3, this concerns version 2.20. thank you for your time! angeliki

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asynchronicity between spikes and firing pattern
by atiye nejadebrahim 24 Aug '23

24 Aug '23

Dear All, I made a HH neuron model and I can get an action potential from it. but it seems there is a problem in spikes. Action potential shape show one spike, but spike recorder shows several spikes and there is not any synchronicity between them. can you help me why? my second question is about spike generation, when I use I_e current for injecting current to the neuron, I can record spikes, but when I use step current generators, no spike shows. can you help me why?Thank you for your consideration. Best, Atiyeh Dear All, I made a HH neuron model and I can get an action potential from it. but it seems there is a problem in spikes. Action potential shape show one spike, but spike recorder shows several spikes and there is not any synchronicity between them. can you help me why? my second question is about spike generation, when I use I_e current for injecting current to the neuron, I can record spikes, but when I use step current generators, no spike shows. can you help me why?Thank you for your consideration. Best, Atiyeh

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asynchronicity between spikes and firing pattern
by atiye nejadebrahim 22 Aug '23

22 Aug '23

Dear All, I made a HH neuron model and I can get an action potential from it. but it seems there is a problem in spikes. Action potential shape show one spike, but spike recorder shows several spikes and there is not any synchronicity between them. can you help me why? my second question is about spike generation, when I use I_e current for injecting current to the neuron, I can record spikes, but when I use step current generators, no spike shows. can you help me why?Thank you for your consideration. Best, Atiyeh

1 0

Multimeter data while multiple runs
by Maryada Maryada 22 Aug '23

22 Aug '23

Dear NEST Users, I am simulating my network multiple times (split simulation). I tried but nest.simulate(100) in a for loop and with RunManager() with nest.RunManager(): df_mul = pd.DataFrame() for _ in np.arange(0,3,1): nest.Run(150.0) df_mul = pd.concat([df_mul,pd.DataFrame(mult.get('events'))]) However in both case, it only record NaN [image: image.png] -- Thanks and Regards *Maryada*

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Open NEST Developer Video Conference Monday July 17 2023 11:30 CEST (UTC+2)
by Dennis Terhorst 14 Aug '23

14 Aug '23

Dear NEST Users & Developers! I would like to invite you to our next fortnightly Open NEST Developer Video Conference, today Monday August 14, 11.30-12.30 CEST (UTC+2). Also as usual, in the Project team round, a contact person of each team will give a short statement summarizing ongoing work in the team and 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. In the in-depth discussion I would like to go through some proposed changes in the CI setup to get some feedback and learn about your perspectives on these topics. 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 * NEST with "Salsa" The agenda for this meeting is also available online, see https://github.com/nest/nest-simulator/wiki/2023-08-14-Open-NEST-Developer-… Looking forward to seeing you! Cheers, Dennis Terhorst ------------------ Log-in information ------------------ We use a virtual conference room provided by DFN (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 * 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 - 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

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Maintaining connection weights outside synapse
by Stefan Dvoretskii 07 Aug '23

07 Aug '23

Hello all, I am trying to implement a sort of plasticity that keeps the sum of all outgoing weights of the neuron constant. It would require not only knowing the weights of all synapses at a simulation timestep, but also setting them externally with this knowledge, i.e. setting weights outside of single synapse context. Is there any way I could implement it efficiently in NEST? Thanks in advance! Best regards, -- Stefan Dvoretskii

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Synapses support only one spiking input port
by Stefan Dvoretskii 02 Aug '23

02 Aug '23

Hello, I am using an example synapse model which utilizes both post and pre spikes (nestml/models/synapses/stdp_nn_symm.nestml at master · nest/nestml (github.com) <https://github.com/nest/nestml/blob/master/models/synapses/stdp_nn_symm.nes…> ). I get an error: ... File "/dss/dsshome1/00/ge72puf2/.conda/envs/nest/lib/python3.8/site-packages/pynestml/codegeneration/nest_code_generator.py", line 469, in _get_synapse_model_namespace assert len(namespace["pre_ports"]) <= 1, "Synapses only support one spiking input port" AssertionError: Synapses only support one spiking input port It is confusing: can I or can I not use a model with 2 synaptic inputs (post and pre)? Is that a version thing? Best regards, -- Stefan

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NEST Compilation Issue on openSUSE Machine - Missing <mach-o/dyld.h> Header
by Jesus Espinoza 01 Aug '23

01 Aug '23

Dear NEST Community, I hope this email finds you well. I am encountering some challenges while attempting to compile the NEST simulator on an openSUSE machine. I am using the provided CMake command, which has worked successfully on my Ubuntu machine with the required libraries and environment loaded. However, on the openSUSE machine, the compilation process fails with an error related to the <mach-o/dyld.h> header, which seems specific to macOS. The CMake command I am using is as follows: ``` conda activate python_for_nest module load gsl/2.6 openmpi/cxx-4.1.1 cmake -Dwith-python=ON \ -Dwith-gsl=ON \ -Dwith-openmp=ON \ -DMPI_CXX_COMPILER=$(which mpic++) \ -DMPI_C_COMPILER=$(which mpicc) \ -Dwith-mpi=ON \ -DCMAKE_INSTALL_PREFIX:PATH=${PREFIX} ${SRC} ``` The error messages I encounter during the compilation are as follows, all mach-related: ``` Building C object CMakeFiles/cmTC_4dc4e.dir/HAVE_MACH_O_DYLD_H.c.o /usr/bin/cc -o CMakeFiles/cmTC_4dc4e.dir/HAVE_MACH_O_DYLD_H.c.o -c /home/espinoza/opt/nest/master/nest-simulator-build/CMakeFiles/CheckIncludeFiles/HAVE_MACH_O_DYLD_H.c /home/espinoza/opt/nest/master/nest-simulator-build/CMakeFiles/CheckIncludeFiles/HAVE_MACH_O_DYLD_H.c:2:10: fatal error: mach-o/dyld.h: No such file or directory 2 | #include <mach-o/dyld.h> | ^~~~~~~~~~~~~~~ compilation terminated. gmake[1]: *** [CMakeFiles/cmTC_4dc4e.dir/build.make:85: CMakeFiles/cmTC_4dc4e.dir/HAVE_MACH_O_DYLD_H.c.o] Fehler 1 gmake[1]: Verzeichnis „/home/espinoza/opt/nest/master/nest-simulator-build/CMakeFiles/CMakeTmp“ wird verlassen gmake: *** [Makefile:140: cmTC_4dc4e/fast] Fehler 2 ``` From my understanding, `<mach-o/dyld.h>` is primarily used for macOS, and its absence on openSUSE is causing the compilation error. I kindly request any hint or advice for resolving this issue. Is there any way I can modify the CMake command or the environment to ensure successful compilation on the openSUSE machine? Additionally, if there are any specific libraries or configurations that need to be adjusted for openSUSE, I would greatly appreciate your guidance. To further investigate the issue, I will attach the `CMakeError.log` and `CMakeOutput.log` files to this email. Thank you very much for your time and support. Any insights or suggestions you can provide will be invaluable in resolving this problem. Best regards, Jesús Espinoza -- Jesús Espinoza Bergische Universität Wuppertal Fakultät für Mathematik und Naturwissenschaften Wissenschaftliches Rechnen und Hochleistungsrechnen Gaußstraße 20 42119 Wuppertal Germany E-Mail: espinozavalverd{at}uni-wuppertal.de

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Results of simulation using `fixed_indegree` seem to depend on `total_num_virtual_procs`
by Jesus Espinoza 31 Jul '23

31 Jul '23

Hello everyone, I am writing to the NEST mailing list as I have encountered an issue in my simulation script, and I would greatly appreciate your insights. The problem I am facing is that the membrane potential time course for a simulation with a fixed indegree seems to be dependent on the number of virtual processes (`total_num_virtual_procs`). Interestingly, this behavior does not occur for simulations with all-to-all connectivity. The simulation involves a network with the following architecture: 5 `spike_generator` nodes connected to 5 `parrot_neuron` nodes with (all-to-all), which are further connected to 5 `iaf_psc_delta` neurons (all-to-all). The connections between the `iaf_psc_delta` neurons have an `fixed_indegree` of 2. A voltmeter is used to monitor the membrane potentials of these 5 neurons, and the simulation runs for 100 ms. The issue arises when I vary the number of virtual processes (`total_num_virtual_procs`). I have tested the values 1, 2, and 4, and I have noticed that the plot of the membrane potentials at the end of the simulation differs for each `total_num_virtual_procs` value. Additionally, when I print the table of connections, I observe that the weights between the `iaf_psc_delta` neurons are also influenced by the number of virtual processes. I have attached the simulation script and three images showing the plot for each `total_num_virtual_procs` value. The experiments were conducted on my personal Ubuntu machine. The version of NEST that I am using is the latest at the time of writing this message, with commit `b9514cce789fb0b2c0dfbd9d0894d3986f743021`, authored by Abigail Morrison <morrison(a)fz-juelich.de> on Tue Jul 18 23:46:22 2023 +0200. I would be grateful for any suggestions or explanations regarding this issue, as it hinders the reproducibility of my results. Thank you in advance for your valuable help and support. Best regards, Jesus Espinoza. -- Jesús Espinoza Bergische Universität Wuppertal Fakultät für Mathematik und Naturwissenschaften Wissenschaftliches Rechnen und Hochleistungsrechnen Gaußstraße 20 42119 Wuppertal Germany E-Mail: espinozavalverd{at}uni-wuppertal.de

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CXX compiler change path
by Stefan Dvoretskii 27 Jul '23

27 Jul '23

Hello, when running code generator(NESTCodeGeneratorUtils.generate_code_for), I encounter an error: -- The CXX compiler identification is unknown CMake Error at CMakeLists.txt:95 (project): The CMAKE_CXX_COMPILER: /home/conda/feedstock_root/build_artifacts/nest-simulator_1633676998878/_build_env/bin/x86_64-conda-linux-gnu-c++ is not a full path to an existing compiler tool. Tell CMake where to find the compiler by setting either the environment variable "CXX" or the CMake cache entry CMAKE_CXX_COMPILER to the full path to the compiler, or to the compiler name if it is in the PATH. I have tried to set CXX variable to one of the compilers I have on the system, but it did not work. I don't know how to set CMAKE_CXX_COMPILER in this context. Maybe someone could give me an advice on that? Best regards, -- Stefan

2 2

Axonal delay
by ali.ghadiri1375＠gmail.com 26 Jul '23

26 Jul '23

Hi everyone, How can I implement axonal delay in synapse models of NEST?

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Open NEST Developer Video Conference Monday July 17 2023 11:30 CEST (UTC+2)
by Dennis Terhorst 17 Jul '23

17 Jul '23

Dear NEST Users & Developers! I would like to invite you to our next fortnightly Open NEST Developer Video Conference, today Monday July 17, 11.30-12.30 CEST (UTC+2). Also as usual, in the Project team round, a contact person of each team will give a short statement summarizing ongoing work in the team and 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/2023-07-17-Open-NEST-Developer-… Looking forward to seeing you! Cheers, Dennis Terhorst ------------------ Log-in information ------------------ We use a virtual conference room provided by DFN (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 * 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 - 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

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Casting in NESTML
by chiara de luca 06 Jul '23

06 Jul '23

Hello everyone, just a small question about NESML. I would like to cast a variable from float to integer in the onReceive block of a custom synapse model. Is there an easy way to do that? Can't find anything in documentation about that. Thank you! Chiara

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Open NEST Developer Video Conference Monday July 3 2023 11:30 CEST (UTC+2)
by Dennis Terhorst 03 Jul '23

03 Jul '23

Dear NEST Users & Developers! I would like to invite you to our next fortnightly Open NEST Developer Video Conference, today Monday July 3, 11.30-12.30 CEST (UTC+2). Also as usual, in the Project team round, a contact person of each team will give a short statement summarizing ongoing work in the team and 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. Special topic today will be a discussion on dependency management. 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/2023-07-03-Open-NEST-Developer-… Looking forward to seeing you! Cheers, Dennis Terhorst ------------------ Log-in information ------------------ We use a virtual conference room provided by DFN (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 * 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 - 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

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Re: Connection by dendrite
by Jona Scholz 02 Jul '23

02 Jul '23

Hello Anno and Willem, thank you for your replies. Anno's description of the problem is exactly what I was trying to express. It's too bad that generating connectivity like this can not be achieved as easily as I had hoped. Either way, that answers my question. The reference to the blue brain project is very interesting. Their work seems to be relevant to several of my problems. Thank you both :) Kind regards, Jona

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Repeated simulations of the same specified connectivity
by Daniel Esposito 30 Jun '23

30 Jun '23

I want to initialize a network with some random connectivity, following some standard connectivity rules, like is achieved by standard use of the nest.Connect function.Then I want to make several runs of this network, with the same connectivity. I learned however that this is not a straightforward thing to do repeated runs of the same network in NEST. Although I saw different solutions online, it is not clear that there is a 'standard' solution for how to achieve this goal of just initializing the network with the same connectivity several times, which seems fairly simple. This link <https://nest-simulator.readthedocs.io/en/stable/auto_examples/store_restore…> here, for example, shows how to store and restore a network, but it seems like overshoot for my purpose (the described problem is a network with plasticity). I also thought of creating a network, extract the connectivity, and then impose this connectivity in new networks, following what is explained here <https://nest-simulator.readthedocs.io/en/v3.4/synapses/connection_managemen…> in the 'Connecting sparse matrices with array indexing' section, but it's a bit tedious to implement (I started implementing it) and error prone. The alternative I'm thinking of now is to just re create the network on each pass of my loop with standard NEST functions, but giving the same random seed to NEST before making the connectivity each time. After the connectivity is done, I'd pass a new random seed, sampled from numpy's random number generator, and so each simulation would be a different repeat. I was wondering whether this very simple approach I propose would work, or whether I'm missing something. Thanks

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Re: Connection by dendrite
by Jona Scholz 30 Jun '23

30 Jun '23

Hello Anno, thank you for your reply. Not sure what using compartments entails, but I'm guessing I only need distance dependent connection probabilities. The probability should be 1 if a dendrite is close enough to a given neuron and 0 otherwise. Another point that may be relevant: it should be possible to have multiple connections between a pair of neurons. Each connection should be able to learn with a variation of STDP. Is this supported by default? Kind regards, Jona

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EBRAINS — Survey on use of tools and services
by Hans Ekkehard Plesser 30 Jun '23

30 Jun '23

Dear NEST Users, As you may know, the Human Brain Project is coming to an end in September and we are currently working hard on planning the future of the EBRAINS Research Infrastructure. In this context, EBRAINS has started a survey to determine the interest in tools and services provided by EBRAINS. The results of this survey will inform decisions on priorities for funding applications. We hope you could contribute to this survey by filling it in at https://wiki.ebrains.eu/bin/view/Collabs/slu-hbpb/25.06/ and would in particular hope that you would tick the boxes for NEST and related tools such as NESTML, NEST Desktop, Elephant (listed as Electrophysiology Analysis Toolkit) and LFPy. For the question "Relationship status on HBP and EBRAINS", if you are not working in an HBP-affiliated lab, "Stakeholder" is probably the most suitable answer, as there is no explicit category for "Tool User" or "Tool Contributor". Information on all tools listed in the survey is available under https://wiki.ebrains.eu/bin/view/Collabs/slu-hbpb/Tools%20description/ or the "Tools description" link on the left edge of the survey page. Best regards, Hans Ekkehard -- Prof. Dr. Hans Ekkehard Plesser Head, Department of Data Science Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no<mailto:hans.ekkehard.plesser@nmbu.no> Home http://arken.nmbu.no/~plesser

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Connection by dendrite
by jona.m.scholz＠gmail.com 29 Jun '23

29 Jun '23

Hello everyone, first off some disclaimers (feel free to skip). I'm new to the space and don't know what I'm talking about. I'm also sorry if this is question is redundant, but I couldn't find an answer to it. Imagine a spatial network where neurons have free positions. Each neuron has associated dendrites, which are also just points in space. 2 neurons are connected if and only if the dendrite of 1 neuron is very close to the other neuron. I've created an image to show what I mean, but couldn't upload it here. It's under this link: https://ibb.co/nfh9hbn Is there a good way to achieve this? If there is not, what would be the best way to implement it? The pointers I'm looking for are along the lines of "yes use function x" or "no, you have to implement it in python" or maybe even "you can add this connectivity to our C++ back-end if you do this and that". Kind regards, Jona

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