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CreateLayer problem with dictionary
by xotazu＠cvc.uab.es 13 Apr '21

13 Apr '21

Hello, I am having a basic problem creating layers with topology (pyhton 3.6 and NEST 2.20.1). It always complains about the dictionary sent to CreateLayer, telling it is a number. The code below correctly prints <class 'dict'> but prints this error: Traceback (most recent call last): File "test/binary_gdf.py", line 9, in <module> kk=tp.CreateLayer({'extent': [1, 1],'rows': 20, 'columns': 20,'elements' : 'izhikevich','edge_wrap':True}) File "/home/neurobit/local/nest-py3/lib64/python3.6/site-packages/nest/topology/hl_api.py", line 650, in CreateLayer return topology_func('{ CreateLayer } Map', specs) File "/home/neurobit/local/nest-py3/lib64/python3.6/site-packages/nest/topology/ll_api.py", line 61, in topology_func return nest.ll_api.sli_func(slifunc, *args) File "/home/neurobit/local/nest-py3/lib64/python3.6/site-packages/nest/ll_api.py", line 182, in sli_func sli_run(slifun) # SLI support code to execute s on args File "/home/neurobit/local/nest-py3/lib64/python3.6/site-packages/nest/ll_api.py", line 132, in catching_sli_run raise exceptionCls(commandname, message) nest.lib.hl_api_exceptions.TypeMismatch: ('TypeMismatch in CreateLayer_D: Expected datatype: doubletype\nProvided datatype: integertype', 'TypeMismatch', <SLILiteral: CreateLayer_D>, ': Expected datatype: doubletype\nProvided datatype: integertype') Any help would be nice :-) Xavier ---- import nest import nest.topology as tp nest.SetKernelStatus({"overwrite_files": True}) my_dict = {'extent': [1, 1],'rows': 20, 'columns': 20,'elements' : 'izhikevich','edge_wrap':True} print(type(my_dict)) kk=tp.CreateLayer(my_dict)

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NEST Conference 2021 goes virtual — registration & call for contributions open
by Hans Ekkehard Plesser 13 Apr '21

13 Apr '21

Dear all, The NEST Initiative is excited to invite everyone interested in Neural Simulation Technology and the NEST Simulator to the NEST Conference 2021. The NEST Conference provides an opportunity for the NEST Community to meet, exchange success stories, swap advice, learn about current developments in and around NEST spiking network simulation and its application. This year's conference will again take place as a virtual conference on Monday/Tuesday 28/29 June 2021 followed by a virtual NEST User Hackathon until Friday 2 July, which offers the opportunity to deep-dive your own code with expert developers at your fingertips. Registration and submission of contributions are now open! We are inviting contributions to the conference, including plenary talks, "posters", breakout sessions and workshops on specific topics. Please register and submit your contribution(s) via the conference website https://nest-simulator.org/conference. Important dates 16 May 2021 — Deadline for submission of contributions and for NEST Initiative Membership applications 08 June 2021 — Notification of acceptance 21 June 2021 — Registration deadline 28 June 2021 — NEST Conference 2021 starts We are looking forward to seeing you all in June! Hans Ekkehard Plesser, Dennis Terhorst & Anne Elfgen -- 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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Writing gdf files in binary format
by Xavier Otazu 13 Apr '21

13 Apr '21

Hello, I am trying to write spikedector data into .gdf files in binary format, but I cannot. I am setting the 'binary' param of the spikedetector to True (I checked it using nest.GetStatus) but files are written in ASCII. Do I need some special python package? I am using python 2.7.5 and NEST 2.18. Thanks in advance. Xavier Computer Vision Center<http://www.cvc.uab.cat> CONFIDENTIALITY WARNING<http://www.cvc.uab.es/?page_id=7475>

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Data Science Morning Coffee
by Hans Ekkehard Plesser 12 Apr '21

12 Apr '21

Dear all! Here the morning coffees are back in Outlook. We meet at https://nmbu.zoom.us/j/940209461. Best, Hans Ekkehard

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Canceled: Data Science Morning Coffee
by Hans Ekkehard Plesser 12 Apr '21

12 Apr '21

Dear all! Here the morning coffees are back in Outlook. We meet at https://nmbu.zoom.us/j/940209461. Best, Hans Ekkehard

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Canceled: Data Science Morning Coffee
by Hans Ekkehard Plesser 12 Apr '21

12 Apr '21

Dear all! Here the morning coffees are back in Outlook. We meet at https://nmbu.zoom.us/j/940209461. Best, Hans Ekkehard

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Re: Spatial grid + jitter
by Hans Ekkehard Plesser 07 Apr '21

07 Apr '21

Dear Jasper, In NEST 3, this should be possible. Stine or Håkon, could you provide some advice? 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 On 06/04/2021, 12:05, "Albers, Jasper" <j.albers(a)fz-juelich.de<mailto:j.albers@fz-juelich.de>> wrote: Dear all, a colleague of mine (in CC) and myself are implementing a spatially structured network in NEST (using current NEST master). We are wondering how to generate a population of neurons that are distributed on a regular grid plus a random jitter. This means that we want to end up with a spatial distribution as can be seen in Figure 8 in the tutorial for creating spatially structured networks<https://nest-simulator.readthedocs.io/en/latest/tutorials/pynest_tutorial/p…>. Below that figure one finds a code snippet; however, we believe that this does not correspond to the distribution of Figure 8. In the documentation of NEST 2.20.1 we did find a code snippet that produces a jittered grid: import numpy as np # grid with jitter jit = 0.03 xs = np.arange(-0.5,.501,0.1) poss = [[x,y] for y in xs for x in xs] poss = [[p[0]+np.random.uniform(-jit,jit),p[1]+np.random.uniform(-jit,jit)] for p in poss] layer_dict_ex = {"positions": poss, "extent" : [1.1,1.1], "elements" : "iaf_psc_alpha"} As is apparent, this code does not make use of NEST internal random number generation but rather produces a list of positions that is then passed to a layer. Thus our question is: is it possible to create a jittered grid natively in NEST master? Best regards, Jasper and Anno ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Spatial grid + jitter
by Albers, Jasper 06 Apr '21

06 Apr '21

Dear all, a colleague of mine (in CC) and myself are implementing a spatially structured network in NEST (using current NEST master). We are wondering how to generate a population of neurons that are distributed on a regular grid plus a random jitter. This means that we want to end up with a spatial distribution as can be seen in Figure 8 in the tutorial for creating spatially structured networks<https://nest-simulator.readthedocs.io/en/latest/tutorials/pynest_tutorial/p…>. Below that figure one finds a code snippet; however, we believe that this does not correspond to the distribution of Figure 8. In the documentation of NEST 2.20.1 we did find a code snippet that produces a jittered grid: import numpy as np # grid with jitter jit = 0.03 xs = np.arange(-0.5,.501,0.1) poss = [[x,y] for y in xs for x in xs] poss = [[p[0]+np.random.uniform(-jit,jit),p[1]+np.random.uniform(-jit,jit)] for p in poss] layer_dict_ex = {"positions": poss, "extent" : [1.1,1.1], "elements" : "iaf_psc_alpha"} As is apparent, this code does not make use of NEST internal random number generation but rather produces a list of positions that is then passed to a layer. Thus our question is: is it possible to create a jittered grid natively in NEST master? Best regards, Jasper and Anno ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Open NEST Developer Video Conference Monday 29 March 2021 11:30 CEST (UTC+2)
by Dennis Terhorst 29 Mar '21

29 Mar '21

Dear NEST Users & Developers! I would like to invite you to our next fortnightly Open NEST Developer Video Conference, today Monday 29 March, 11.30-12.30 CEST (UTC+2). 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. Today we have two potential topics for the in-depth discussion. The first is probably not that much to discuss, but we'd be interested in everyone's point of view. The second one touches many areas of the simulator and new scientific use-cases. Agenda Welcome Review of NEST User Mailing List Project team round In-depth discussion * CMake targets vs. CMake flags #1905 Microhackathon * Discuss dump/reload of connectivity (/not/ checkpointing!) The agenda for this meeting is also available online, see https://github.com/nest/nest-simulator/wiki/2021-03-29-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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Weight Recorder after network creation
by Benedikt Feldotto 16 Mar '21

16 Mar '21

Dear all, is it possible to assign the weight recorder to a synapse /after /the network is created? In the Neurorobotics Platform we allow the user to add devices (this can be additional nodes, or current inputs via SetStatus) after the creation of the network and it would be nice to also add recorders/readouts for spikes and weights. For spike recorders and multimeters this is possible as just a new node with a new connection is added. Thanks! Best Regards, 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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