Journal Article

FZJ-2022-02384

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png NNMT: Mean-Field Based Analysis Tools for Neuronal Network Models

Layer, M. (Corresponding author)FZJ* ; Senk, J.FZJ* ; Essink, S.FZJ* ; van Meegen, A.FZJ* ; Bos, H. ; Helias, M.FZJ*

2022
Frontiers Research Foundation Lausanne

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Please use a persistent id in citations: http://hdl.handle.net/2128/31692  doi:10.3389/fninf.2022.835657

Abstract: Mean-field theory of neuronal networks has led to numerous advances in our analyticaland intuitive understanding of their dynamics during the past decades. In order tomake mean-field based analysis tools more accessible, we implemented an extensible,easy-to-use open-source Python toolbox that collects a variety of mean-field methodsfor the leaky integrate-and-fire neuron model. The Neuronal Network Mean-field Toolbox(NNMT) in its current state allows for estimating properties of large neuronal networks,such as firing rates, power spectra, and dynamical stability in mean-field and linearresponse approximation, without running simulations. In this article, we describe how thetoolbox is implemented, show how it is used to reproduce results of previous studies, anddiscuss different use-cases, such as parameter space explorations, or mapping differentnetwork models. Although the initial version of the toolbox focuses on methods for leakyintegrate-and-fire neurons, its structure is designed to be open and extensible. It aims toprovide a platform for collecting analytical methods for neuronal network model analysis,such that the neuroscientific community can take maximal advantage of them.

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Contributing Institute(s):

1. Computational and Systems Neuroscience (INM-6)
2. Theoretical Neuroscience (IAS-6)
3. Jara-Institut Brain structure-function relationships (INM-10)

Research Program(s):

1. 5231 - Neuroscientific Foundations (POF4-523) (POF4-523)
2. HBP SGA1 - Human Brain Project Specific Grant Agreement 1 (720270) (720270)
3. HBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907) (785907)
4. HBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539) (945539)
5. GRK 2416:  MultiSenses-MultiScales: Novel approaches to decipher neural processing in multisensory integration (368482240) (368482240)
6. JL SMHB - Joint Lab Supercomputing and Modeling for the Human Brain (JL SMHB-2021-2027) (JL SMHB-2021-2027)
7. MSNN - Theory of multi-scale neuronal networks (HGF-SMHB-2014-2018) (HGF-SMHB-2014-2018)
8. Open-Access-Publikationskosten Forschungszentrum Jülich (OAPKFZJ) (491111487) (491111487)

Appears in the scientific report 2022

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