March 2022 - NEST Users - NEST Initiative Mail

Assertion error during connection when using CopyModel and own neuron model

by Barna Zajzon

Dear all, I'm encountering the following error python: /home/zbarni/software/packages/nest/znest/nestkernel/model_manager.h:296: nest::Model* nest::ModelManager::get_node_model(nest::index) const: Assertion `m < node_models_.size()' failed. when using the following code: nest.SetKernelStatus({'total_num_virtual_procs':16, 'local_num_threads':16}) nest.Install('my_neuron_module') for iin range(16): nest.CopyModel('MyNeuron', f'MyNeuron_{i}') neurons = nest.Create('MyNeuron_0', 2) nest.Connect(neurons, neurons) The script uses a neuron model that I wrote in C++ and is loaded without errors. The error is thrown upon nest.Connect(), and goes away if I create the neurons using `MyNeuron` and not `MyNeuron_x` (copied) or if the #vp and #threads is 1. I've used the model with NEST 2.20.0 without problems, but I'd like to port the code to the latest version. Maybe I'm just missing something new functionality/API related to CopyModel and multiprocessing - have there been any critical changes in the model requirements? Any help would be greatly appreciated. Barni

1 year, 9 months

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Nest 3.0 conda installation issue using source code

by Maryada Maryada

Dear NEST users, After trying multiple ideas, I am still facing the issue where my installation is successful with an error message: -- Configuring done CMake Warning at cmake/UseCython.cmake:100 (add_library): Cannot generate a safe runtime search path for target pynestkernel because files in some directories may conflict with libraries in implicit directories: runtime library [libgomp.so.1] in /usr/lib/gcc/x86_64-linux-gnu/9 may be hidden by files in: /home/<user>/miniconda3/envs/nestConda/lib Some of these libraries may not be found correctly. Call Stack (most recent call first): cmake/UseCython.cmake:283 (python_add_module) pynest/CMakeLists.txt:28 (cython_add_module) ------------------------------------------------------------------------------------------------ This leads to the failure of multiple tests. The summary of the tests and logs for the failed tests is attached. I must mention that I tested the installation by creating a neuron and it works fine. It would be nice to get rid of the error, please see error_msg file to see where it fails. -- Thanks and Regards *Maryada*

2 years, 3 months

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Open NEST Developer Video Conference Monday March 28 2022 11:30 CEST (UTC+2 !!!)

by Dennis Terhorst

Dear NEST Users & Developers! I would like to invite you to our next fortnightly Open NEST Developer Video Conference, today Monday March 14, 11.30-12.30 CEST (UTC+2). /Note/ that we changed to daylight savings time (aka "summer time") and are now UTC+2. Feel free to join the meeting also just to bring your own questions for direct discussion in the in-depth section. 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. Agenda * Welcome * Review of NEST User Mailing List * Project team round * In-depth discussion * Inclusion of NEST-GPU by Golosio et al. The agenda for this meeting is also available online, see https://github.com/nest/nest-simulator/wiki/2022-03-28-Open-NEST-Developer-… Looking forward to seeing you soon! 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

2 years, 4 months

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Creating a new NodeCollection from Mask or by global_ids

by Kempter, Miriam

Dear Nest Team, working with Python 3.8 and Nest 3.2 my goal is, after creating a spatial NodeCollection "neurons", to create a new NodeCollection containing a selection of the node from "neurons". To achieve this I tried two different approaches: 1. Create a Mask object and use nest.SelectNodesByMask() nodes_in_mask = nest.SelectNodesByMask(neurons, ctr_position, mask_obj) 2. Transform the NodeCollection into a list of node ids, pick 3 random ids, and create a new NodeCollection containing those 3 Nodes neurons_list = neurons.tolist() for x in range(0, 3): center = random.choice(neurons_list) node_ids.append(center) node_ids.sort() new_collection = nest.NodeCollection(node_ids) But with both approaches I get the same problems that some Information (of the positions) seems to go missing. This shows in different ways. First the new NodeCollections are no longer spatial (nodes_in_mask.spatial and new_collection.spatial return none). Second trying to get the node Positions results in an Error: nest.GetPosition(nodes_in_mask) -> Error #1 nest.lib.hl_api_exceptions.LayerExpected: LayerExpected in SLI function GetPosition_g: And last, trying to Plot the Layer also results in an Error: fig = nest.PlotLayer(nodes_in_mask) -> Error #2 TypeError: 'NoneType' object is not subscriptable I attached a .txt file containing py code showing the problems. Why do those Problems occur and what can I do to solve them? Is there a way to create an empty NodeCollection s.t. I can add the wished nodes one by one? What exactly does the metadata of a Nodecollection represent? Is there a way to set it manually for example to spatial? Thank you in advance for your Answers, Miriam

2 years, 4 months

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NESTML, 'UnknownNode' model

by Alexander Kozlov

Hi, Any neuron model built with NESTML and installed via nest.Install('mymodule') receives 'UnknownNode' as the value for 'model': > nrn.get('model') > 'UnknownNode' Can this be ignored by users? Is it possible to set the value in .nestml file for compatibility with standard models? Best regards, Alex.

2 years, 4 months

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Open NEST Developer Video Conference Monday March 14 2022 11:30 CET (UTC+1)

by Dennis Terhorst

Dear NEST Users & Developers! I would like to invite you to our next fortnightly Open NEST Developer Video Conference, today Monday March 14, 11.30-12.30 CET (UTC+1). Feel free to join the meeting also just to bring your own questions for direct discussion in the in-depth section. 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. 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/2022-03-14-Open-NEST-Developer-… Looking forward to seeing you soon! 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

2 years, 4 months

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0 0

INCF/OCNS Software working group survey on software usage

by Ankur Sinha

Dear all, Apologies for the cross-posts. We, the INCF/OCNS Software working group, are conducting a short anonymous survey to collect information on the usage of common software tools in comp-neuro. Could we please request you to spend 2 minutes of your time to fill it out here: https://forms.gle/NXWv2CwtWBSB9BXv9 The information gathered in the survey will be used to organise sessions/workshops related to the software, and improve awareness about them and their maintenance. On behalf of the Software WG, -- Thanks, Regards, Ankur Sinha (He / Him / His) Research Fellow at the Silver Lab | http://silverlab.org/ Department of Neuroscience, Physiology, & Pharmacology University College London, London, UK Time zone: Europe/London

2 years, 4 months

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NESTML, error in the generate_nest_target function

by Salvo T

Dear NESTML Users, when I try the NESTML Izhikevich tutorial, I have a problem in the generate_nest_target function. The output in the terminal is the following: *** -- N E S T -- Copyright (C) 2004 The NEST Initiative Version: UNKNOWN Built: Jan 18 2022 13:53:41 This program is provided AS IS and comes with NO WARRANTY. See the file LICENSE for details. Problems or suggestions? Visit https://www.nest-simulator.org Type 'nest.help()' to find out more about NEST. -- The CXX compiler identification is GNU 9.3.0 -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Check for working CXX compiler: /usr/bin/c++ - skipped -- Detecting CXX compile features -- Detecting CXX compile features - done ------------------------------------------------------- nestml_izhikevich_module Configuration Summary ------------------------------------------------------- C++ compiler : /usr/bin/c++ Build static libs : OFF C++ compiler flags : NEST compiler flags : -std=c++11 -O2 -Wall -fopenmp -pthread -fdiagnostics-color=auto NEST include dirs : -I/opt/nest/include/nest -I/usr/include -I/usr/include -I/usr/include -I/opt/music-install/include -I/usr/lib/x86_64-linux-gnu/openmpi/include/openmpi -I/usr/lib/x86_64-linux-gnu/openmpi/include -I/usr/include NEST libraries flags : -L/opt/nest/lib/nest -lnestutil -lnest -lsli -lnestkernel -fopenmp /usr/lib/x86_64-linux-gnu/libltdl.so /usr/lib/x86_64-linux-gnu/libreadline.so /usr/lib/x86_64-linux-gnu/libncurses.so /usr/lib/x86_64-linux-gnu/libgsl.so /usr/lib/x86_64-linux-gnu/libgslcblas.so /opt/music-install/lib/libmusic.so /usr/lib/x86_64-linux-gnu/openmpi/lib/libmpi_cxx.so /usr/lib/x86_64-linux-gnu/openmpi/lib/libmpi.so ------------------------------------------------------- You can now build and install 'nestml_izhikevich_module' using make make install The library file libnestml_izhikevich_module.so will be installed to /opt/nest/lib/nest The module can be loaded into NEST using (nestml_izhikevich_module) Install (in SLI) nest.Install(nestml_izhikevich_module) (in PyNEST) CMake Warning (dev) in CMakeLists.txt: No cmake_minimum_required command is present. A line of code such as cmake_minimum_required(VERSION 3.22) should be added at the top of the file. The version specified may be lower if you wish to support older CMake versions for this project. For more information run "cmake --help-policy CMP0000". This warning is for project developers. Use -Wno-dev to suppress it. -- Configuring done -- Generating done -- Build files have been written to: /tmp/nestml-component [ 16%] Building CXX object CMakeFiles/nestml_izhikevich_module_module.dir/nestml_izhikevich_module.o In file included from /opt/nest/include/nest/connector_base.h:35, from /opt/nest/include/nest/connection_manager.h:36, from /opt/nest/include/nest/connection_manager_impl.h:26, from /tmp/nestml-component/nestml_izhikevich_module.cpp:26: /opt/nest/include/nest/sort.h:36:10: fatal error: boost/sort/spreadsort/spreadsort.hpp: No such file or directory 36 | #include <boost/sort/spreadsort/spreadsort.hpp> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compilation terminated. make[2]: *** [CMakeFiles/nestml_izhikevich_module_module.dir/build.make:76: CMakeFiles/nestml_izhikevich_module_module.dir/nestml_izhikevich_module.o] Error 1 make[1]: *** [CMakeFiles/Makefile2:112: CMakeFiles/nestml_izhikevich_module_module.dir/all] Error 2 make: *** [Makefile:156: all] Error 2 *** While the Jupyter notebook output is the following: *** Warning: PyGSL is not available. The stiffness test will be skipped. Warning: No module named 'pygsl' Option "nest_path" does not exist in builder --------------------------------------------------------------------------- CalledProcessError Traceback (most recent call last) /opt/data/nestml/pynestml/codegeneration/nest_builder.py in build(self) 149 try: --> 150 subprocess.check_call(make_all_cmd, stderr=subprocess.STDOUT, shell=shell, 151 cwd=str(os.path.join(target_path))) /usr/lib/python3.8/subprocess.py in check_call(*popenargs, **kwargs) 363 cmd = popenargs[0] --> 364 raise CalledProcessError(retcode, cmd) 365 return 0 CalledProcessError: Command '['make', 'all']' returned non-zero exit status 2. During handling of the above exception, another exception occurred: GeneratedCodeBuildException Traceback (most recent call last) <ipython-input-2-f7696df63255> in <module> ----> 1 generate_nest_target(input_path="izhikevich_solution.nestml", 2 target_path="/tmp/nestml-component", 3 module_name="nestml_izhikevich_module", 4 suffix="_nestml", 5 logging_level="ERROR", /opt/data/nestml/pynestml/frontend/pynestml_frontend.py in generate_nest_target(input_path, target_path, install_path, logging_level, module_name, store_log, suffix, dev, codegen_opts) 181 A dictionary containing additional options for the target code generator. 182 """ --> 183 generate_target(input_path, target_platform="NEST", target_path=target_path, logging_level=logging_level, 184 module_name=module_name, store_log=store_log, suffix=suffix, install_path=install_path, 185 dev=dev, codegen_opts=codegen_opts) /opt/data/nestml/pynestml/frontend/pynestml_frontend.py in generate_target(input_path, target_platform, target_path, install_path, logging_level, module_name, store_log, suffix, dev, codegen_opts) 150 FrontendConfiguration.set_codegen_opts(codegen_opts) 151 --> 152 if not process() == 0: 153 raise Exception("Error(s) occurred while processing the model") 154 /opt/data/nestml/pynestml/frontend/pynestml_frontend.py in process() 278 options=FrontendConfiguration.get_codegen_opts()) 279 if _builder is not None: --> 280 _builder.build() 281 282 if FrontendConfiguration.store_log: /opt/data/nestml/pynestml/codegeneration/nest_builder.py in build(self) 151 cwd=str(os.path.join(target_path))) 152 except subprocess.CalledProcessError as e: --> 153 raise GeneratedCodeBuildException('Error occurred during \'make all\'! More detailed error messages can be found in stdout.') 154 155 # finally execute make install GeneratedCodeBuildException: Error occurred during 'make all'! More detailed error messages can be found in stdout. *** I installed Boost with 'sudo apt-get install libboost-all-dev' from the terminal. Can you help me? Best, Salvo

2 years, 4 months

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2
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