I am new to developing NEST neuron models. I am aware I should use NEST-ML
and I started that way, but I now need to modify the (successfully)
generated C++ code. To do so, I would like to understand the details of the
C++ implementation, including the overall logic of the class NEST-ML
created (what is the functionality of the methods and attributes). Where
can I find documentation about this? I would also like to take a look at
the description of the NEST C++ developers library. I could not find these
aspects in the Nest Developer Space. Thank you in advance.
Dear NEST Users & Developers!
I would like to invite you to our next fortnightly Open NEST Developer
Video Conference today
Monday 07 December, 11.30-12.30 CET (UTC+1).
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.
Review of NEST User Mailing List
Project team round
To squash, or not to squash
The agenda for this meeting is also available online, see
Looking forward to seeing you soon!
We use a virtual conference room provided by DFN (Deutsches Forschungsnetz).
You can use the web client to connect. We however encourage everyone to
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For more technical information on logging in from various VC systems,
Hi all - I'm aiming to run simulations using Izhikevich's neuron model (or another efficient model with spike generation), two dendritic compartments, two glutamate receptor subtypes, and temporal synaptic dynamics. My understanding is that Nest supports the Izhikevich neuron model with instantaneous current injection (i.e. no synaptic dynamics), the iaf_cond_alpha_mc neuron model for multiple compartments, the aeif_cond_alpha_multisynapse model for multiple receptor subtypes, and any of the _psc_ or _cond_ neuron models for synaptic dynamics. Am I looking at multiple choice here? I.e. I can't use a single neuron model with all of these features? If so, does anyone know of any Nest add-ons that efficiently handle all the features above? I'd be grateful for any advice.
The Computational Neuroscience Group at the Norwegian University of Life Sciences (www.nmbu.no<http://www.nmbu.no/>) aims to recruit a technical editor in a senior engineer position. The position is part of our contribution to the Human Brain Project (www.humanbrainproject.eu<http://www.humanbrainproject.eu/>) in building the European EBRAINS research infrastructures for neuroscience. This full-time position is available immediately and limited until 31 March 2023.
As technical editor, you will be part of the EBRAINS High-Level Service Team and be responsible for coordinating and supervising the production and provision of documentation and tutorial materials for EBRAINS service offerings with the pertaining EBRAINS partners.
We are looking for applicants with a master's, preferably a doctoral, degree in a STEM discipline, ideally with experience in technical writing, documentation generation systems, and neuroscience.
Closing date for applications is 4 January 2021.
For more information about the position and to submit your application, please see
Please contact Prof Hans Ekkehard Plesser (hans.ekkehard.plesser(a)nmbu.no<mailto:firstname.lastname@example.org>) if you have any questions concerning the position.
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
Dear all,I am running a large simulation where I need to evaluate the spike frequency of large populations in several elapsed time frames. In order to keep this procedure efficient and memory efficient, is it possible to reset the spikeDetector (delete all events)?Thanks in advance!Best,Benedikt