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NESTML: neuron/synapse model with differential dynamics for computing post synaptic currents
by barthelemy 16 Dec '21

16 Dec '21

Dear all, I am a new NEST user. I have a question concerning the range of neuron/synapses model possibilities of NEST. I would like to implement my own neuron/synapse model with NESTML, but I am unsure that it would be possible. Indeed, in my model, synaptic currents are not only relying on pre-synaptic spikes. To compute synaptic currents, the opening probability of pre-synaptic channel receptors are required. Those pre-synaptic channel receptors opening probabilities are evolving according to differential equations involving second order dynamics, with specific decays and taking into account the pre-synaptic spikes arrivals times at this specific synapse. Those differential equations for the opening probabilities are relying on different parameters, according to the neurotransmitter type (GABA A,GABA B, NMDA, AMPA ). Furthermore, additionally to the input spikes and the pre-synaptic channel receptors opening probabilities, the current membrane potential of the post-synaptic neuron is also required to compute the synaptic currents. Do you know if one of the NEST models implement similar dynamics? Is it possible to compute such synaptic dynamics with NESTML by creating a synapse or (and) a neuron model? Or is it not, due to specific limitations? Thank you, Best regards, JB

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NEST Developers — Failing macOS checks solved
by Hans Ekkehard Plesser 08 Dec '21

08 Dec '21

Dear NEST Developers, You may have observed that Github checks failed on macOS in recent days. This is due to even more pedantic checking of standard compliance by the newest version of Clang. The issue is fixed in master now (#2231), so if you experience trouble with failing macOS tests, you should update your branch. Best, 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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Set 'grng' seed
by Benedikt Feldotto 06 Dec '21

06 Dec '21

Dear all, in a previous version of NEST I used to set the RNG seeds like this: nest.SetKernelStatus({'grng_seed' : value_grngseed}) nest.SetKernelStatus({'rng_seeds' : value_rngseed)}) I already found in newer NEST versions I can set the RNG seed like: nest.rng_seed = value_rngseed Is there also a possibility to set the Global RNG seed 'grng' with newer NEST versions? 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 6 December 2021 11:30 CET (UTC+1)
by Dennis Terhorst 06 Dec '21

06 Dec '21

Dear NEST Users & Developers! I would like to invite you to our next fortnightly Open NEST Developer Video Conference, today Monday 06 December, 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/2021-12-06-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

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NEST v3.1: Missing data for spike_recorder (ascii)
by Maryada Maryada 30 Nov '21

30 Nov '21

Dear NEST users, I am trying to debug my network and I found that my spike_recorder with *ascii* option isn't working as expected. I am simulating a network for a few milliseconds (say 1000. ms) and then do some structure changes and then re-run for another phase of a few ms (say 4000. ms) In the compact version, I am trying to see how this sample code would work. import nest nest.ResetKernel() nest.SetKernelStatus({ "overwrite_files": True, "data_path": './Debug-Log', "data_prefix": 'DEBUG-SPIKE-REC', }) noise_device = nest.Create("poisson_generator",params={'start': 0.,'rate' : 100.}) sd_params = { "record_to": 'ascii', "label": "Input_spike_recorder" } Input_SD = nest.Create("spike_recorder",1, params=sd_params) nest.Connect(noise_device,Input_SD) nest.Simulate(100.) # do something here nest.Simulate(100.) *Issue:* I only get the data recorded from 100th millisecond but for memory, I get all the data from 0-200 ms. This behavior is consistent for both overwrite_files as True and False. In the previous version (v2.20) I also used the same approach and had no issues. Is there a newer way to do such a simulation paradigm? I didn't find anything on this on the comparison page of NESTv2.x and NESTv3.x Am I missing something? It's really important for my work, I hope I could find a solution. -- Thanks and Regards *Maryada*

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FitzHugh-Nagumo model in Nest simulator
by s.taffara92＠gmail.com 29 Nov '21

29 Nov '21

Hi, I visited the page 'https://nest-simulator.readthedocs.io/en/latest/models/' looking for the FitzHugh-Nagumo model keyword. I want to use it to create this kind of neuron in Nest. I can not find it. Can anyone help me? Thanks, Salvo

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Random seed in NEST 3.0
by Maryada Maryada 26 Nov '21

26 Nov '21

Dear NEST users, As I understood from the documentation unless you set the seed using nest.rng_seed, nest.random.normal (for instance) should return the same value nest.ResetKernel() nest.rng_seed = 21#69696 v_m = nest.random.normal(mean=-51., std=10.) v_m.GetValue() In this code, I always receive the same v_m value for both cases, if the seed is set as 21 or 69696. The only time it changes is if I remove ResetKernel() call, which then is expected to return different values irrespective of rng_seed. With this code below, I also got the same results irrespective of rng_seed value nest.ResetKernel() nest.rng_seed = 3333#69696 for _ in range(10): v_m = nest.random.normal(mean=-51., std=10.) print(v_m.GetValue()) So, maybe rng_seed doesn't reflect on nest.random.normal distribution. However, then how can I make sure it draws a different set of values? -- Thanks and Regards *Maryada*

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Izhikevich Simulation
by Allen Rabayda 22 Nov '21

22 Nov '21

Dear Nest Users, Has anyone used any NEST Synapse Models to create Gamma Rhythms during a simulation with the NEST Izhikevich Neuron model? My simulation, which uses the Stdp-Synapse model (additive type) does not appear to be converging into gamma rhythms (w/bi-model wt distribution) using super-threshold poisson point process (ref: Polychronization Computation With Spikes (Izhikevich, 2006), - DOI: 10.1162/089976606775093882 <https://doi.org/10.1162/089976606775093882>) - - - - Thanks for any suggestions, Best Regards, --Allen

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Open NEST Developer Video Conference Monday 22 November 2021 11:30 CET (UTC+1)
by Dennis Terhorst 22 Nov '21

22 Nov '21

Dear NEST Users & Developers! I would like to invite you to our next fortnightly Open NEST Developer Video Conference, today Monday 22 November, 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/2021-11-22-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

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Call for Papers: Reproducibility in Neuroscience
by Alberto Antonietti 19 Nov '21

19 Nov '21

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