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Neuron models with NMDA channels
by cagnol＠ksvi.mff.cuni.cz 15 Feb '22

15 Feb '22

Hello, We would like to use neurons models with NMDA channels in our spiking neuron model. We're still unsure whether we will use a native neuron model in Nest or whether we will implement our own one in NESTML. My understanding is that the only model in Nest which does that is the Hill - Tononi model, which seems rather complex. How fast would you roughly expect a Hill - Tononi neuron network to run compared to a network made of aeif_cond_exp neurons? Do you know by any chance any example of adex NESTML models which implement NMDA and Gaba_B channels? Also, one last question not really related to the previous ones: Is there any way to model synaptic reliability in Nest? Thanks a lot, Remy,

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WOIV'22: Extended Deadline -- 6th International Workshop on In Situ Visualization
by Tom Vierjahn 14 Feb '22

14 Feb '22

Hi all, we have extended the submission deadline for WOIV’22 until March 7. And we have added a 3rd submission type: lightning presentations (2 to 4 pages, published via Zenodo). Please find the updated CfP below and on the webpage https://woiv.gitlab.io Cheers, Tom ----- # WOIV'22: 6th International Workshop on In Situ Visualization * Held in conjunction with ISC 2022 * Hamburg, Germany, June 2, 2022 ## Scope Large-scale HPC simulations with their inherent I/O bottleneck have made in situ visualization an essential approach for data analysis, although the idea of in situ visualization dates back to the golden era of coprocessing in the 1990s. In situ coupling of analysis and visualization to a live simulation circumvents writing raw data to disk for post-mortem analysis – an approach that is already inefficient for today’s very large simulation codes. Instead, with in situ visualization, data abstracts are generated that provide a much higher level of expressiveness per byte. Therefore, more details can be computed and stored for later analysis, providing more insight than traditional methods. We encourage contributed talks on methods and workflows that have been used for large-scale parallel visualization, with a particular focus on the in situ case. Presentations on codes that closely couple numerical methods and visualization are particularly welcome. Speakers should detail if and how the application drove abstractions or other kinds of data reductions and how these interacted with the expressiveness and flexibility of the visualization for exploratory analysis. Presentations on codes that closely couple numerical methods and visualization are particularly welcome. Speakers should detail frameworks used and data reductions applied. They should also indicate how these impacted the flexibility of the visualization for exploratory analysis. Of particular interest to WOIV and its attendees are recent developments for in situ libraries and software. Submissions documenting recent additions to existing in situ software or new in situ platforms are highly encouraged. WOIV is an excellent place to connect providers of in situ solutions with potential customers. For the submissions we are not only looking for success stories, but are also particularly interested in those experiments that started with a certain goal or idea in mind, but later got shattered by reality or insufficient hardware/software. Areas of interest for WOIV include, but are not limited to: * Techniques and paradigms for in situ visualization. * Algorithms relevant to in situ visualization. These could include algorithms empowered by in situ visualization or algorithms that overcome limitations of in situ visualization. * Systems and software implementing in situ visualization. These include both general purpose and bespoke implementations. This also includes updates to existing software as well as new software. * Workflow management. * Use of in situ visualization for application science or other examples of using in situ visualization. * Performance studies of in situ systems. Comparisons between in situ systems or techniques or comparisons between in situ and alternatives (such as post hoc) are particularly encouraged. * The impact of hardware changes on in situ visualization. * The online visualization of experimental data. * Reports of in situ visualization failures. * Emerging issues with in situ visualization. ## Submissions We accept submissions of short papers (6 to 8 pages), full papers (10 to 12 pages) and lightning presentations (2 to 4 pages) in Springer single column LNCS style. Please find LaTeX and Word templates at https://woiv.gitlab.io/woiv22/template. `Submissions are exclusively handled via EasyChair: https://woiv.gitlab.io/woiv22/submit. The review process is single or double blind, we leave it to the discretion of the authors whether they want to disclose their identity in their submissions. All submissions will be peer-reviewed by experts in the field, and will be evaluated according to relevance to the workshop theme, technical soundness, thoroughness of success/failure comparison, and impactfulness of method/results. Accepted short and full papers will appear as post-conference workshop proceedings in the Springer Lecture Notes in Computer Science (LNCS) series; lightning presentations will be published via Zenodo. The submitted versions will be made available to workshop participants during ISC. ## Important Dates * Submission deadline (extended): March 7, 2022, anywhere on earth * Notification of acceptance: April 15, 2022 * Final presentation slides due: May 10, 2012, anywhere on earth (subject to change) * Workshop: June 2, 2022 * Camera-ready version due: July 1, 2022 (subject to change, extrapolated from previous years) ## Chairs * Peter Messmer, NVIDIA * Tom Vierjahn, Westphalian University of Applied Sciences, Bocholt, Germany ## Steering Committee * Steffen Frey, University of Groningen, The Netherlands * Kenneth Moreland, Oak Ridge National Laboratory, USA * Thomas Theussl, KAUST, Saudi Arabia * Guido Reina, University of Stuttgart, Germany * Tom Vierjahn, Westphalian University of Applied Sciences, Bocholt, Germany ## Website, Venue, Registration * Website: https://woiv.gitlab.io * Submission system: https://woiv.gitlab.io/woiv22/submit * Template: https://woiv.gitlab.io/woiv22/template * Venue: https://www.isc-hpc.com (ISC 2022) * Workshop registration: https://woiv.gitlab.io/woiv22/register ## Contact E-Mail: woiv(a)googlegroups.com

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Open NEST Developer Video Conference Monday February 14 2022 11:30 CET (UTC+1)
by Dennis Terhorst 14 Feb '22

14 Feb '22

Dear NEST Users & Developers! I would like to invite you to our next fortnightly Open NEST Developer Video Conference, today Monday February 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/2022-02-14-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

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Webinar Invitation: ""Embodied Large Scale Spiking Neural Networks in the Neurorobotics Platform"
by Benedikt Feldotto 09 Feb '22

09 Feb '22

Dear all, NEST is a powerful tool to simulate biologically derived spiking Neural Networks. Besides the ever improving model details, learning paradigms and computational complexity, there are two complementary components necessary in order to simulate a (full) biologically plausible mammalian brain: Running simulations at large scale and embodying the brain simulation in a (virtual) body. In frame of the Fenix Infrastructure Webinar series I am going to present "Embodied large scale spiking neural networks in the Neurorobotics Platform" with a focus on the deployment on High Performance Computing Infrastructure next week Thursday. The presentation showcases the joint work of developers from NEST and the Neurorobotics Platform, the CSCS Swiss National Supercomputing centre and researchers in the RoboBrain project. Check out the details and registration at: https://fenix-ri.eu/events/14th-fenix-infrastructure-webinar-ebrains-servic… Looking forward to see you there, Benedikt -- 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(a)in.tum.de https://www6.in.tum.de/en/people/benedikt-feldotto-msc/ www.neurorobotics.net

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Synapse labels and connection rules
by Barna Zajzon 02 Feb '22

02 Feb '22

Dear NEST community, When trying to pass a `synapse_label` parameter in the syn_spec dictionary, in conjunction with the `one_to_one` rule and node ids passed as arrays, I get the following error with NEST 3.0: File "/home/zbarni/code/projects/lif_sorn_seqlearn/lif-sorn-nest-implementation/remote/test_nestml_multith.py", line 29, in <module> nest.Connect([1], [2], conn_spec={'rule': 'one_to_one'}, syn_spec={'synapse_model': 'static_synapse_lbl', 'synapse_label': 1}) File "/home/zbarni/software/installed/miniconda3/envs/del-lif-sorn-nestml-check_py390/lib/python3.9/site-packages/nest/ll_api.py", line 228, in stack_checker_func return f(*args, **kwargs) File "/home/zbarni/software/installed/miniconda3/envs/del-lif-sorn-nestml-check_py390/lib/python3.9/site-packages/nest/lib/hl_api_connections.py", line 255, in Connect connect_arrays(pre, post, weights, delays, synapse_model, syn_param_keys, syn_param_values) File "pynestkernel.pyx", line 360, in pynestkernel.NESTEngine.connect_arrays nest.lib.hl_api_exceptions.TypeMismatch: TypeMismatch in SLI function connect_arrays It works when using the `all_to_all` rule. Is this the expected behavior or for some reason it's not possible to use synapse_label and the one_to_one rule (yet)? Thank you, Barna

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Open NEST Developer Video Conference Monday January 31 2022 11:30 CET (UTC+1)
by Dennis Terhorst 31 Jan '22

31 Jan '22

Dear NEST Users & Developers! I would like to invite you to our next fortnightly Open NEST Developer Video Conference, today Monday January 31, 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/2022-01-31-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

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NMBU / Associate Professors in Machine Learning and Scientific Computing / Deadline 15 Feb 2022
by Hans Ekkehard Plesser 27 Jan '22

27 Jan '22

Dear Colleagues, The Department of Data Science at NMBU is currently looking for two full-time permanent associate professors in machine learning and scientific computing, respectively. We are also looking for adjunct professors (20%, 4 years) to cover ethical and legal aspects of data science and data security, respectively. I'd appreciate if you would pass this information on to colleagues who may be interested in any of the positions. As we currently are mostly male faculty members, we'd in particular appreciate applications by women. * Associate professor in Data Science (Machine Learning) - Deadline: Tuesday, February 15, 2022<https://www.jobbnorge.no/en/available-jobs/job/217579/associate-professor-i…> * Associate professor in Scientific Computing - Deadline: Tuesday, February 15, 2022<https://www.jobbnorge.no/en/available-jobs/job/217590/associate-professor-i…> * Professor II/Associate professor II in Ethics and Law of Data Science - Deadline: Tuesday, February 15, 2022<https://www.jobbnorge.no/en/available-jobs/job/217629/professor-ii-associat…> * Professor II/Associate professor II in Data Security - Deadline: Tuesday, February 15, 2022<https://www.jobbnorge.no/en/available-jobs/job/217607/professor-ii-associat…> 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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log data into data_path
by Benedikt Feldotto 21 Jan '22

21 Jan '22

Dear all, quick question about data logging to a specified folder: with nest.SetKernelStatus({"data_path": '/opt/data/log'}) I can specify the path, where data is logged to. If I do not specify a path, where does data get saved, or is it not saved to file if I do not specify 'data_path'? Thanks! Benedikt -- 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(a)in.tum.de https://www6.in.tum.de/en/people/benedikt-feldotto-msc/ www.neurorobotics.net

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Open NEST Developer Video Conference Monday January 17 2021 11:30 CET (UTC+1)
by Dennis Terhorst 17 Jan '22

17 Jan '22

Dear NEST Users & Developers! I would like to invite you to our next fortnightly Open NEST Developer Video Conference, today Monday January 17, 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/2022-01-17-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

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how do I record events emitted by "sinusoidal_poisson_generator"
by thierry nieus 03 Jan '22

03 Jan '22

Dear all, first of all, happy new year! I am using nest 2.2 (installed by conda) and I have set up a simple network of 20-100 neurons based on the ht_neuron model. I am delivering some noise to all neurons with the sinusoidal_poisson_generator (I can switch to another) and the simulation produces the results I am looking for. However I would like now to have a look at the spikes entering the network and therefore I need to access all events generated by the random generator. A sample of my code is: import nest receptors=nest.GetDefaults('ht_neuron')['receptor_types'] nest.CopyModel("sinusoidal_poisson_generator",'sin_pois',{'amplitude':50.,'rate':15.0 }) nest.CopyModel("static_synapse","AMPAnoise",{"receptor_type":receptors["AMPA"],"weight":10. }) neurons=nest.Create("ht_neuron",1) noise=nest.Create('sin_pois',1) g = nest.Create('sin_pois', 1) # current pulse dc_gen = nest.Create("dc_generator") nest.SetStatus(dc_gen, {"amplitude": 20., "start": 400, "stop": 1050}) nest.Connect(dc_gen, neurons, 'one_to_one') # recorders detect_noise = nest.Create('spike_detector', 1) nest.Connect(noise, neurons, 'one_to_one', syn_spec="AMPAnoise") nest.Connect(noise, detect_noise, 'one_to_one') ''' the latest does not work Creation of connection is not possible because: All outgoing connections from a device must use the same synapse type. ''' Is there a way to record those spikes ? Thanks in advance for any help Best

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