Hello,
I am using Anaconda on a Mac OS X platform. I installed nest using homebrew by following the instructions on this page:
https://nest-simulator.readthedocs.io/en/latest/installation/mac_install.ht…
After finishing the installation, IPython first could not find the nest module, so I manually copied the nest folder that was created in /Users/name/opt/nest/lib/python3.7/site-packages/nest into /anaconda/lib/python3.7/site-packages/nest
Now IPython can import the nest module, but returns an error message when I try to run a basic nest example: "module 'nest' has no attribute 'Create' ".
I am sorry for failing at a very basic level here, but I tried for quite some time and could not get it running despite trying different instructions. I would greatly appreciate it if anyone could help me or give me a hint into the right direction, thanks in advance!
Dear NEST Developers!
our next bi-weekly Open NEST Developer Video Conference would be today.
However, due to many participants not being available and the next
meeting falling on Pentecost Monday we decided to do one meeting on the
out-of-phase Monday June 3rd.
Monday 3 June, 11.30-12.30 CET (UTC+2). (note: out-of-phase)
An invitation to that meeting will be sent separately.
best,
Dennis Terhorst
--
Dipl.-Phys. Dennis Terhorst
Coordinator Software Development
Institute of Neuroscience and Medicine (INM-6)
Computational and Systems Neuroscience &
Theoretical Neuroscience,
Institute for Advanced Simulation (IAS-6)
Jülich Research Centre, Member of the Helmholz Association and JARA
52425 Jülich, Germany
Building 15.22 Room 4004
Phone +49 2461 61-85062
Fax +49 2461 61- 9460
d.terhorst(a)fz-juelich.de
Hello everyone,
I am currently working on a custom recording backend based on the nestio branch of this fork: https://github.com/jougs/nest-simulator/. I want the user to be able to customize the behavior of my backend from their python code. I can see that the RecordingBackend class has the virtual functions set_status() and get_status() that would enable such a thing and I see that other recording backends implement them accordingly. However, I haven't found an example yet how to get access to the recording backend to call these functions. Can anyone give me hint on how to do that?
Kind regards
Simon
Dear Benedikt
> 1) Are there any implementations for tonic neuron input, that means an
> additional Neuron input channel that mulitplies with all synaptic inputs?
We don't have an implementation that does this, but I don't see any
reason why you can't make your own. The most effective way to do this is
using NESTML, then you don't have to worry about C++ or numerics. A
brief description of NESTML with links to publications and Github is here:
https://www.fz-juelich.de/ias/jsc/EN/Expertise/SimLab/slns/research/nestml/…
we are happy to support you in using this.
>
> 2) Can synaptic weights be normalized, in particular keeping the sum of
> all inputs of a single neuron equal to 1?
This is tricky. We did implement something close to this for a paper:
https://www.frontiersin.org/articles/10.3389/fncom.2010.00160/full
but we did not merge the infrastructure changes with master, because we
felt it wasn't general enough. Making a general version would be a
large, complicated job. As a workaround, you could consider running your
simulation in small time segments, and after each segment you can
read-out, sum and normalise the incoming weights for each neuron
'manually' from your simulation script. For a small network this will
work fine, but it won't scale.
All the best,
Abigail
--
Prof. Dr. Abigail Morrison
IAS-6 / INM-6 / SimLab Neuroscience
Jülich Research Center
&
Institute of Cognitive Neuroscience
Ruhr-University Bochum
http://www.fz-juelich.de/inm/inm-6http://www.fz-juelich.de/ias/jsc/slnshttp://www.ikn.psy.ruhr-uni-bochum.de
Office: +49 2461 61-9805
Fax # : +49 2461 61-9460
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The Faculty of Science and Technology at the Norwegian University of Life Sciences (NMBU) has a vacant 3-year PhD-position related to Data Science and Computational Neuroscience: https://www.jobbnorge.no/en/available-jobs/job/168816/phd-scholarship-withi…
Please share with your network.
Best regards,
Kristin Tøndel
Dear NEST Developers!
I would like to invite you to our next bi-weekly Open NEST Developer
Video Conference today
Monday 13 May, 11.30-12.30 CET (UTC+2).
See below for information about how to log into the meeting.
The agenda for this meeting is also available online
https://github.com/nest/nest-simulator/wiki/2019-05-13-Open-NEST-Developer-…
1. Welcome
2. NEST Initiative web services
3. Review of NEST User Mailing List
<https://www.nest-simulator.org/mailinglist/postorius/lists/users.nest-simul…>
4. Review of open Github Pull Request
<https://github.com/nest/nest-simulator/pulls>
5. Review of open Github Issues
<https://github.com/nest/nest-simulator/issues>
See you soon!
best,
Dennis Terhorst
------------------
Log-in information
------------------
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For those who do not have a video conference system or suitable
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For more technical information on logging in from various VC systems,
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--
Dipl.-Phys. Dennis Terhorst
Coordinator Software Development
Institute of Neuroscience and Medicine (INM-6)
Computational and Systems Neuroscience &
Theoretical Neuroscience,
Institute for Advanced Simulation (IAS-6)
Jülich Research Centre, Member of the Helmholz Association and JARA
52425 Jülich, Germany
Building 15.22 Room 4004
Phone +49 2461 61-85062
Fax +49 2461 61- 9460
d.terhorst(a)fz-juelich.de
Dear all,
I am wondering about two specific neuron characteristics to be modelled
in Nest. Since I did not really find documentation I want to ask about
those features here:
1) Are there any implementations for tonic neuron input, that means an
additional Neuron input channel that mulitplies with all synaptic inputs?
2) Can synaptic weights be normalized, in particular keeping the sum of
all inputs of a single neuron equal to 1?
On top, information on having those features modelled in PyNN would be a
plus.
Thank you very much in advance for any hints where to look, possible
solutions, or developer support on how to implement these features!
Best Regards,
Benedikt
Hello,
I'm just getting started again on using Docker multi-arch for building
AArch64 NEST binaries, following this instruction:
https://engineering.docker.com/2019/04/multi-arch-images/
Has anyone had a chance to create a handy Dockerfile for building NEST?
Could you share it via this mailing list?
Thanks,
Itaru.
Dear Colleagues!
We are looking forward to an exciting
NEST Conference 2019 at NMBU, Ås, Norway on 24-25 June 2019
with talks covering a wide range of topics from simulation technology to large-scale network simulations as shown below.
Please register at
https://www.nest-initiative.org/conference
by
Wednesday, 15 May 2019
We still have a few slots for conference posters available, so you are still welcome to submit your poster until 15 May. Please see the conference website for instructions.
We are looking forward to seeing you in Ås in June!
Hans Ekkehard Plesser, Susanne Kunkel & Dennis Terhorst
NEST Conference 2019 Talks (only presenting author shown)
• GeNN: GPU-enhanced neural networks (James Knight)
• Communication sparsity in distributed Spiking Neural Network Simulations to improve scalability (Carlos Fernandez-Musoles)
• Sleep-like slow oscillations induce hierarchical memory association and synaptic homeostasis in thalamo-cortical simulations (Cristiano Capone)
• Implementation of a Frequency-Based Hebbian STDP in NEST (Alberto Antonietti)
• Spike Timing Model of Visual Motion Perception and Decision Making with Reinforcement Learning in NEST (Petia Koprinkova-Hristova)
• What’s new in the NEST user-level documentation (Jessica Mitchell)
• ICEI/Fenix: HPC and Cloud infrastructure for computational neuroscientists (Jochen Eppler)
• Construction and characterization of a detailed model of mouse primary visual cortex (Stefan Mihalas)
• Large-scale simulation of a spiking neural network model consisting of cortex, thalamus, cerebellum and basal ganglia on K computer (Jun Igarashi)
• Simulations of a multiscale olivocerebellar spiking neural network in NEST: a case study (Alice Geminiani)
• A NEST CPG for pythonic motor control: Servomander (Harry Howard)
• NEST desktop: A web-based GUI for NEST simulator (Sebastian Spreizer)
• Tools for the Visual Analysis of Simulation Datasets (Óscar David Robles)
• Neural Network Simulation Code for Extreme Scale Hybrid Systems (Kristina Kapanova)
• NEST performance profiling (Susanne Kunkel)
--
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
Dear Colleagues!
We are looking forward to an exciting
NEST Conference 2019 at NMBU, Ås, Norway on 24-25 June 2019
with talks covering a wide range of topics from simulation technology to large-scale network simulations as shown below.
Please register at
https://www.nest-initiative.org/conference
by
Wednesday, 15 May 2019
We still have a few slots for conference posters available, so you are still welcome to submit your poster until 15 May. Please see the conference website for instructions.
We are looking forward to seeing you in Ås in June!
Hans Ekkehard Plesser, Susanne Kunkel & Dennis Terhorst
NEST Conference 2019 Talks (only presenting author shown)
• GeNN: GPU-enhanced neural networks (James Knight)
• Communication sparsity in distributed Spiking Neural Network Simulations to improve scalability (Carlos Fernandez-Musoles)
• Sleep-like slow oscillations induce hierarchical memory association and synaptic homeostasis in thalamo-cortical simulations (Cristiano Capone)
• Implementation of a Frequency-Based Hebbian STDP in NEST (Alberto Antonietti)
• Spike Timing Model of Visual Motion Perception and Decision Making with Reinforcement Learning in NEST (Petia Koprinkova-Hristova)
• What’s new in the NEST user-level documentation (Jessica Mitchell)
• ICEI/Fenix: HPC and Cloud infrastructure for computational neuroscientists (Jochen Eppler)
• Construction and characterization of a detailed model of mouse primary visual cortex (Stefan Mihalas)
• Large-scale simulation of a spiking neural network model consisting of cortex, thalamus, cerebellum and basal ganglia on K computer (Jun Igarashi)
• Simulations of a multiscale olivocerebellar spiking neural network in NEST: a case study (Alice Geminiani)
• A NEST CPG for pythonic motor control: Servomander (Harry Howard)
• NEST desktop: A web-based GUI for NEST simulator (Sebastian Spreizer)
• Tools for the Visual Analysis of Simulation Datasets (Óscar David Robles)
• Neural Network Simulation Code for Extreme Scale Hybrid Systems (Kristina Kapanova)
• NEST performance profiling (Susanne Kunkel)
--
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