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by Petia Koprinkova

We have encountered the following error: Traceback (most recent call last): File "all_v2.py", line 364, in <module> nest.Simulate(sim_time) File"/opt/soft/nest-2.18.0/lib64/python3.6/site-packages/nest/ll_api.py",line 246, in stack_checker_func return f(*args, **kwargs) File"/opt/soft/nest-2.18.0/lib64/python3.6/site-packages/nest/lib/hl_api_simulation.py",line 66, in Simulate sr('ms Simulate') File"/opt/soft/nest-2.18.0/lib64/python3.6/site-packages/nest/ll_api.py",line 132, in catching_sli_run raise exceptionCls(commandname, message) nest.ll_api.C++Exception: ('C++Exception in Simulate_d:std::bad_alloc', 'C++Exception', <SLILiteral: Simulate_d>, ':std::bad_alloc') Could you help to resolve it? Best regards,Petia Koprinkova-Hristova

3 years, 11 months

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Trouble about the spiking time will increase and get so bigger with the simulation epoch increasing.

by enguang zhou

Deal all, I am recording the spiking time of neurons after every simulation, and I find that the time beginning of every simulation isn't all 0 except the first simulation. So how can I set to recording spiking time beginning from 0 during all simulations? By now I am processing that for every simulation spiking time recording by deleting all the time used before a specific simulation epoch. Hope for your answer,thanks! Enguang

3 years, 11 months

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Problems with installation of NEST on MAC

by Vittorio De Falco

Dear Users of NEST, I have downloaded and installed nest on my MAC. I was able to configure it. When I launch make I receive the following error Undefined symbols for architecture x86_64: "___kmpc_critical", referenced from: SLIInterpreter::message(int, char const*, char const*, char const*) const in interpret.cc.o "___kmpc_end_critical", referenced from: SLIInterpreter::message(int, char const*, char const*, char const*) const in interpret.cc.o "___kmpc_global_thread_num", referenced from: SLIInterpreter::message(int, char const*, char const*, char const*) const in interpret.cc.o "_omp_in_parallel", referenced from: Name::insert(std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char> > const&) in name.cc.o ld: symbol(s) not found for architecture x86_64 clang: error: linker command failed with exit code 1 (use -v to see invocation) make[2]: *** [sli/libsli.dylib] Error 1 make[1]: *** [sli/CMakeFiles/sli_lib.dir/all] Error 2 make: *** [all] Error 2 I have already installed it successfully the previous week, but for example I have problem when I launch an example code from NEST (one_neuron.py), because import nest is recognised, while "import nest.voltage_trace" is not found ModuleNotFoundError: No module named 'nest.voltage_trace' Sorry I am a little bit confused. When I try to launch a code in a folder different from the nest-simulator folder "import nest" is not recognised. Could you please explain me better how to solve such an issue? Thank you very much for your support. Best, Vittorio *************************************************************** * Postdoctoral Researcher in Mathematics * University of Naples "Federico II" * Department of Mathematics and Application "R. Caccioppoli" * Via Cintia, IT-80126 Naples, Italy * CELL: +39 340 544 70 15 ****************************************************************

3 years, 11 months

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spatiotemporal Poisson generator

by Abolfazl Ziaeemehr

Hello everyone, Is it possible to include a *spatiotemporal poisson generator* in the simulation? I am trying to apply a current to a population of neurons which is something like this? [image: Selection_001.png] where `i` is the index of the neuron and `t` is the current time of the simulation. Thank you for any guidance. best, -- Abolfazl Ziaeemehr PhD in Computational Neuroscience Institute for Advanced Studies in Basic Sciences (IASBS) Page: iasbs.ac.ir/~a.ziaeemehr https://github.com/Ziaeemehr

3 years, 11 months

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I want to know the derivative equation of iaf_psc_alpha neuron model to design some algorithms for neural network

by enguang zhou

Hi everyone, I have a very big problem now again for the iaf neuron(such as iaf_psc_alpha), which is I don't know know differential equation for the neuron model, so I can't get the derivative of voltage about some other variable, such as derivative of voltage versus synapse weight. The point is I do need to know the derivative equation of iaf_psc_alpha neuron model to design some algorithm for neural network. For the paper mentioned below, I still can't figure out the exact derivative equation of voltage or voltage state equation. https://link.springer.com/article/10.1007/s004220050570 By the way, At last meeting, I wanted to ask that but my device had trouble when host asked, so awkward. Hope for your answer. Thank you. Enguang

3 years, 11 months

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How does the synapse weight influence 'iaf_psc_alpha' neuron(or any other neuron you know) to send a spike?

by enguang zhou

Hello everyone, As the title says, can someone help me answer this? I am really confused about this. Because I need to know how to control the neuron spiking from the mathematical formula, and I check out the iaf_psc_alpha.cpp and its .h file, and I can't get a clue how does the synapse weight value influence the neuron spiking. I would be appreciate if you can tell me how to check out the code in nest_simualator. Thank you. Enguang

3 years, 11 months

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Open NEST Developer Video Conference Monday 4 January 2021 11:30 CET (UTC+1)

by Dennis Terhorst

Dear NEST Users & Developers! I would like to wish you all a Happy New Year and invite you to our first fortnightly Open NEST Developer Video Conference of this year, today Monday 4 January, 11.30-12.30 CET (UTC+1). Today we have a special feature discussion on * Python module installation Additionally, 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 Python module installation The agenda for this meeting is also available online, see https://github.com/nest/nest-simulator/wiki/2021-01-04-Open-NEST-Developer-… Looking forward to seeing you soon! best, 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

3 years, 11 months

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Thank you for 2020

by Hans Ekkehard Plesser

Dear NEST Users! I would like to thank all of you in the NEST Community for you efforts and interest in NEST in 2020, which has been a special year for us all. We have achieved a lot and I am very confident that 2021 will finally see the official release of NEST 3 as the culmination of several years work with significant benefits for users. After the good experiences with the virtual NEST conference this year, the NEST Initiative has decided to hold the conference as a digital conference also in 2021, as this allows a much wider range of users to participate. The conference will take place at its usual time in the end of June. I wish you all happy holidays and all the best for 2021! Hans Ekkehard Plesser President, The NEST Initiative -- 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

4 years

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Open NEST Developer Video Conference Monday 21 December 2020 11:30 CET (UTC+1)

by Dennis Terhorst

Dear NEST Users & Developers! I would like to invite you to our last fortnightly Open NEST Developer Video Conference of this year, today Monday 21 December, 11.30-12.30 CET (UTC+1). Today we have a special feature discussion on *NeuronGPU *by Bruno Golosio, bringing GPU acceleration to spiking neural networks. Additionally, 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 NeuronGPU The agenda for this meeting is also available online, see https://github.com/nest/nest-simulator/wiki/2020-12-21-Open-NEST-Developer-… Looking forward to seeing you soon! best, 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

4 years

1
0
0 0

Multi-node parallel simulation error

by jiadu xie

I want to run neuron simulations in parallel on multiple servers in OpenMPI. I've installed Nest through conda: conda install -c conda-forge nest-simulator. multi_test.pycode show as below： from nest import * SetKernelStatus({"total_num_virtual_procs": 4}) pg = Create("poisson_generator", params={"rate": 50000.0}) n = Create("iaf_psc_alpha", 4) sd = Create("spike_detector", params={"to_file": True}) print("work01,My Rank is :{}".format(Rank())) #print("Processes Number is :{}".format(NumProcesses()) #print("Processor Name is :{}".format(ProcessorName()) Connect(pg, [n[0]], syn_spec={'weight': 1000.0, 'delay': 1.0}) Connect([n[0]], [n[1]], syn_spec={'weight': 1000.0, 'delay': 1.0}) Connect([n[1]], [n[2]], syn_spec={'weight': 1000.0, 'delay': 1.0}) Connect([n[2]], [n[3]], syn_spec={'weight': 1000.0, 'delay': 1.0}) Connect(n, sd) Simulate(100.0) To Reproduce Steps to reproduce the behavior: (pynest) work@work01:~/xiejiadu/nest_multi_test$ /home/work/anaconda3/envs/pynest/bin/mpirun -np 2 -host work01:1,work02:1 /home/work/anaconda3/envs/pynest/bin/python3 /home/work/xiejiadu/nest_multi_test/multi_test.py [INFO] [2020.11.23 3:57:6 /home/conda/feedstock_root/build_artifacts/nest-simulator_1580129123254/work/nestkernel/rng_manager.cpp:217 @ Network::create_rngs_] : Creating default RNGs [INFO] [2020.11.23 3:57:6 /home/conda/feedstock_root/build_artifacts/nest-simulator_1580129123254/work/nestkernel/rng_manager.cpp:260 @ Network::create_grng_] : Creating new default global RNG [INFO] [2020.11.23 3:57:6 /home/conda/feedstock_root/build_artifacts/nest-simulator_1580129123254/work/nestkernel/rng_manager.cpp:217 @ Network::create_rngs_] : Creating default RNGs [INFO] [2020.11.23 3:57:6 /home/conda/feedstock_root/build_artifacts/nest-simulator_1580129123254/work/nestkernel/rng_manager.cpp:260 @ Network::create_grng_] : Creating new default global RNG python3: /home/conda/feedstock_root/build_artifacts/nest-simulator_1580129123254/work/sli/scanner.cc:581: bool Scanner::operator()(Token&): Assertion `in->good()' failed. [work02:95945] *** Process received signal *** [work02:95945] Signal: Aborted (6) [work02:95945] Signal code: (-6) [work02:95945] [ 0] /lib/x86_64-linux-gnu/libpthread.so.0(+0x12730)[0x7fc94a207730] [work02:95945] [ 1] /lib/x86_64-linux-gnu/libc.so.6(gsignal+0x10b)[0x7fc94a0697bb] [work02:95945] [ 2] /lib/x86_64-linux-gnu/libc.so.6(abort+0x121)[0x7fc94a054535] [work02:95945] [ 3] /lib/x86_64-linux-gnu/libc.so.6(+0x2240f)[0x7fc94a05440f] [work02:95945] [ 4] /lib/x86_64-linux-gnu/libc.so.6(+0x30102)[0x7fc94a062102] [work02:95945] [ 5] /home/work/anaconda3/envs/pynest/lib/python3.8/site-packages/nest/../../../libsli.so(_ZN7ScannerclER5Token+0x1489)[0x7fc93cf3ceb9] [work02:95945] [ 6] /home/work/anaconda3/envs/pynest/lib/python3.8/site-packages/nest/../../../libsli.so(_ZN6ParserclER5Token+0x49)[0x7fc93cf2f229] [work02:95945] [ 7] /home/work/anaconda3/envs/pynest/lib/python3.8/site-packages/nest/../../../libsli.so(_ZNK14IparseFunction7executeEP14SLIInterpreter+0x96)[0x7fc93cf66666] [work02:95945] [ 8] /home/work/anaconda3/envs/pynest/lib/python3.8/site-packages/nest/../../../libsli.so(+0x74193)[0x7fc93cf25193] [work02:95945] [ 9] /home/work/anaconda3/envs/pynest/lib/python3.8/site-packages/nest/../../../libsli.so(_ZN14SLIInterpreter8execute_Em+0x222)[0x7fc93cf29a32] [work02:95945] [10] /home/work/anaconda3/envs/pynest/lib/python3.8/site-packages/nest/../../../libsli.so(_ZN14SLIInterpreter7startupEv+0x27)[0x7fc93cf29e57] [work02:95945] [11] /home/work/anaconda3/envs/pynest/lib/python3.8/site-packages/nest/../../../libnest.so(_Z11neststartupPiPPPcR14SLIInterpreterNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE+0x1ea0)[0x7fc93d97ba40] [work02:95945] [12] /home/work/anaconda3/envs/pynest/lib/python3.8/site-packages/nest/pynestkernel.so(+0x444dc)[0x7fc93dd774dc] [work02:95945] [13] /home/work/anaconda3/envs/pynest/bin/python3(+0x1b4924)[0x55e5ae205924] [work02:95945] [14] /home/work/anaconda3/envs/pynest/bin/python3(_PyEval_EvalFrameDefault+0x4bf)[0x55e5ae22dbcf] [work02:95945] [15] /home/work/anaconda3/envs/pynest/bin/python3(_PyFunction_Vectorcall+0x1b7)[0x55e5ae21a637] [work02:95945] [16] /home/work/anaconda3/envs/pynest/bin/python3(_PyEval_EvalFrameDefault+0x71a)[0x55e5ae22de2a] [work02:95945] [17] /home/work/anaconda3/envs/pynest/bin/python3(_PyEval_EvalCodeWithName+0x260)[0x55e5ae219490] [work02:95945] [18] /home/work/anaconda3/envs/pynest/bin/python3(+0x1f6bb9)[0x55e5ae247bb9] [work02:95945] [19] /home/work/anaconda3/envs/pynest/bin/python3(+0x13a23d)[0x55e5ae18b23d] [work02:95945] [20] /home/work/anaconda3/envs/pynest/bin/python3(PyVectorcall_Call+0x6f)[0x55e5ae1aef2f] [work02:95945] [21] /home/work/anaconda3/envs/pynest/bin/python3(_PyEval_EvalFrameDefault+0x5fc1)[0x55e5ae2336d1] [work02:95945] [22] /home/work/anaconda3/envs/pynest/bin/python3(_PyEval_EvalCodeWithName+0x260)[0x55e5ae219490] [work02:95945] [23] /home/work/anaconda3/envs/pynest/bin/python3(_PyFunction_Vectorcall+0x594)[0x55e5ae21aa14] [work02:95945] [24] /home/work/anaconda3/envs/pynest/bin/python3(_PyEval_EvalFrameDefault+0x4e73)[0x55e5ae232583] [work02:95945] [25] /home/work/anaconda3/envs/pynest/bin/python3(_PyFunction_Vectorcall+0x1b7)[0x55e5ae21a637] [work02:95945] [26] /home/work/anaconda3/envs/pynest/bin/python3(_PyEval_EvalFrameDefault+0x4bf)[0x55e5ae22dbcf] [work02:95945] [27] /home/work/anaconda3/envs/pynest/bin/python3(_PyFunction_Vectorcall+0x1b7)[0x55e5ae21a637] [work02:95945] [28] /home/work/anaconda3/envs/pynest/bin/python3(_PyEval_EvalFrameDefault+0x71a)[0x55e5ae22de2a] [work02:95945] [29] /home/work/anaconda3/envs/pynest/bin/python3(_PyFunction_Vectorcall+0x1b7)[0x55e5ae21a637] [work02:95945] *** End of error message *** -------------------------------------------------------------------------- Primary job terminated normally, but 1 process returned a non-zero exit code. Per user-direction, the job has been aborted. -------------------------------------------------------------------------- -------------------------------------------------------------------------- WARNING: Open MPI failed to TCP connect to a peer MPI process. This should not happen. Your Open MPI job may now hang or fail. Local host: work01 PID: 114620 Message: connect() to 192.168.204.122:1024 failed Error: Operation now in progress (115) -------------------------------------------------------------------------- [work01:114615] PMIX ERROR: UNREACHABLE in file server/pmix_server.c at line 2193 -- N E S T -- Copyright (C) 2004 The NEST Initiative Version: nest-2.18.0 Built: Jan 27 2020 12:49:17 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. Nov 23 03:57:06 ModelManager::clear_models_ [Info]: Models will be cleared and parameters reset. Nov 23 03:57:06 Network::create_rngs_ [Info]: Deleting existing random number generators Nov 23 03:57:06 Network::create_rngs_ [Info]: Creating default RNGs Nov 23 03:57:06 Network::create_grng_ [Info]: Creating new default global RNG Nov 23 03:57:06 RecordingDevice::set_status [Info]: Data will be recorded to file and to memory. work01,My Rank is :0 -------------------------------------------------------------------------- mpirun noticed that process rank 1 with PID 95945 on node work02 exited on signal 6 (Aborted). -------------------------------------------------------------------------- Command to run /home/work/anaconda3/envs/pynest/bin/mpirun -np 2 -host work01:1,work02:1 /home/work/anaconda3/envs/pynest/bin/python3 /home/work/xiejiadu/nest_multi_test/multi_test.py Expected behavior A clear and concise description of what you expected to happen. Screenshots If applicable, add screenshots to help explain your problem. Desktop/Environment: OS: Debain-10.0 Shell: conda4.8.3 Python-Version: Python 3.8.6 NEST-Version: nest-2.18 Installation:conda packet, with MPI Best jiaduxie

4 years

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