NEST Users May 2020

users@nest-simulator.org

18 participants
16 discussions

Open NEST Developer Video Conference Monday 27 April 2020 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 on Monday 11 May, 11.30-12.30 CEST (UTC+2). 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 suggested from 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/2020-05-11-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, 7 months

Spike Train Frequencies Inspection

by Benedikt Feldotto

Dear all, I am working with frequency encoded spike trains and therefore like to observe the changing spike frequencies between different individual connections in my network (if possible in real time). While I can record the spike events with time using 'spike_detector' units, I couldn't find a direct method to calculate the frequency. Is there any method implemented or a preferred way to calculate frequencies from spike trains over time or would this calculation be up to the user? I am also thinking about using an indirect way by attaching a leaky integrate and fire neuron with infinite threshold. Thanks! Best, 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

4 years, 7 months

Control over the synaptic weight and synaptic decay time

by Nosratullah M

Dear all, I hope you are in staying safe. I'm working on a balanced network consisting of "iaf_cond_exp" neurone model. I want to have the control over these parameters at the same time: - increasing the synaptic decay time. - reducing the synaptic weight. The goal is to make the area under the synaptic current, constant. So that we know that the only parameter that is affecting on the network, is synaptic delay. I wonder if you know of any furmula in mathematics or any algorithm, that can help me, making this process automatic. And keeping the area under the curve, a constant value. Best wishes, Nosratullah

4 years, 7 months

local_num_threads, multiprocessing and topology.ConnectLayers

by Juan Manuel Vicente

Hi all, I'm trying to understand some inner workings of Nest. Rigth now I'm running simulations with close half millons elements, using mpirun in a cluster with 25 nodes. The problem I am having is that the "setup" (layer creation and connections) phase takes close to 8min and the simulation only takes 1min. So I tried to use python's multiprocessing package to speed it up, with the following code: nest.ResetKernel() nest.SetKernelStatus({"local_num_threads": 1}) #... connections = [ (layer1, layer1, conn_ee_dict, 1), (layer1, layer2, conn_ee_dict, 2), (layer2, layer2, conn_ee_dict, 3), (layer2, layer1, conn_ee_dict, 4) ] # Process the connections. def parallel_topology_connect(parameters): [pre, post, projection, number] = parameters print(f"Connection number: {number}") topology.ConnectLayers(pre, post, projection) pool = multiprocessing.Pool(processes=4) pool.map(parallel_topology_connect, connections) The above example takes around 0.9s, but if the last two to lines are changed for a sequential call, it takes 2.1s: for [pre, post, projection, number] in connections: print(f"Connection number: {number}") topology.ConnectLayers(pre, post, projection) So far the multiprocessing works great, the problem comes when the "local_num_threads" parameters is changed from 1 to 2 or more, in the cluster it could be 32. The code gets stuck in the topology.Connect without any error, after a while I just stopped it. Also I realised that the tolopoly.ConnectLayers just spawn one thread to connects layers despite the local_num_threads is setted more than one. Any idea what is going on? Thanks in advance Juan Manuel PD: The full example code is attached (60 lines of code). The local_num_threads and multiprocessing_flag variables change the behaviors of the code.

4 years, 7 months

Implementing Synaptic Failure Rate

by Joshua Stern

Hello, I hope everyone is well. I am working on replicating some results from Teremae et al 2012 <https://www.nature.com/articles/srep00485#Sec4> and have run into an area of uncertainty. The paper calls for there to be a synaptic weight-dependent failure rate of synaptic transmission: [image: image.png] Is there any way to implement this in Nest? If it would help, I am working on a custom neuron model built in Nestml. I can also write some C++ if it seems that there would be an easy way to add this functionality with a short function. Alternatively, are there canonical ways to alter network structure to account for such a failure rate if it cannot be implemented in Nest? Thank you and best wishes, Josh Stern

4 years, 7 months

NEST3 / Some thoughts on NodeCollections and Connect

by Hans Ekkehard Plesser

Dear Colleagues, This mail is mostly relevant for developers, but I would also like interested users to take a look and comment. In https://github.com/nest/nest-simulator/issues/1570#issuecomment-622380622 I have attempted to summarize a number of thoughts about the details of node representation and Connect() semantics. While a lot is in place, we still need to clarify some details in the near future, before we can release NEST 3. Your input is therefore welcome! If you haven't looked at NEST 3 yet, you may want to take a look at https://nest-simulator.readthedocs.io/en/latest/guides/nest2_to_nest3/nest2… first. Best regards, Hans Ekkehard -- Prof. Dr. Hans Ekkehard Plesser Head, Data Science Section 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 Home http://arken.nmbu.no/~plesser

4 years, 7 months

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NEST Users May 2020