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283 research outcomes, page 5 of 29
  • publication . Article . Preprint . 2015
    Open Access
    Authors:
    Petrovici, Mihai A; Bytschok, Ilja; Bill, Johannes; Schemmel, Johannes; Meier, Karlheinz;
    Publisher: Springer Nature
    Project: EC | BRAINSCALES (269921), FWF | Novel computational parad... (I 753), EC | HBP (604102), EC | FACETS-ITN (237955)

    Comment: 3 pages, 1 figure

  • publication . Article . Review . Other literature type . 2012
    Open Access
    Authors:
    Gerstner, W.; Sprekeler, H.; Deco, G.;
    Publisher: American Association for the Advancement of Science (AAAS)
    Project: EC | DYSTRUCTURE (295129), EC | BRAINSCALES (269921), SNSF | Coding Characteristics of... (200020_132871), EC | MULTIRULES (268689), EC | BRAIN-I-NETS (243914)

    Supported by European Research/nCouncil grants 268689 (W.G.) and 295129 (G.D.); the/nEuropean Community’s Seventh Framework Program/n(grant agreement 243914, Brain-I-Nets, W.G. and H.S.;/ngrant agreement 269921, BrainScaleS, W.G. and G.D.); Swiss/nNational Science Found...

  • publication . Article . 2016
    Open Access English
    Authors:
    Lyuba Zehl; Florent Jaillet; Adrian Stoewer; Jan Grewe; Andrey Sobolev; Thomas Wachtler; Thomas G. Brochier; Alexa Riehle; Michael Denker; Sonja Grün;
    Publisher: Frontiers Research Foundation
    Project: EC | EPI-CT (269912), EC | BRAINSCALES (269921), EC | HBP SGA1 (720270), EC | HBP (604102)

    International audience; To date, non-reproducibility of neurophysiological research is a matter of intense discussion in the scientific community. A crucial component to enhance reproducibility is to comprehensively collect and store metadata, that is, all information a...

  • publication . Article . Other literature type . 2015
    Open Access English
    Authors:
    Mazzoni, Alberto; Lindén, Henrik; Cuntz, Hermann; Lansner, Anders; Panzeri, Stefano; Einevoll, Gaute;
    Project: EC | BRAINSCALES (269921), EC | NEBIAS (611687), EC | SI-CODE (284553)

    Author Summary Leaky integrate-and-fire (LIF) networks are often used to model neural network activity. The spike trains they produce, however, cannot be directly compared to the local field potentials (LFPs) that are measured by low-pass filtering the potential recorde...

  • publication . Article . Report . 2012
    Open Access English
    Authors:
    R. Veltz; O. Faugeras;
    Project: EC | BRAINSCALES (269921), EC | NERVI (227747)

    International audience; We develop a framework for the study of delayed neural fields equations and prove a center manifold theorem for these equations. Specific properties of delayed neural fields equations make it difficult to apply existing methods from the literatur...

  • publication . Article . Preprint . Other literature type . 2019
    Open Access English
    Authors:
    Akos F. Kungl; Sebastian Schmitt; Johann Klähn; Paul Müller; Andreas Baumbach; Dominik Dold; Alexander Kugele; Eric Müller; Christoph Koke; Mitja Kleider; ...
    Publisher: Frontiers Media S.A.
    Project: EC | HBP SGA1 (720270), EC | HBP SGA2 (785907), EC | HBP (604102), EC | BRAINSCALES (269921)

    The massively parallel nature of biological information processing plays an important role for its superiority to human-engineered computing devices. In particular, it may hold the key to overcoming the von Neumann bottleneck that limits contemporary computer architectu...

  • publication . Article . Conference object . 2015
    Open Access English
    Authors:
    Sacha van Albada; Helias M; Diesmann M;
    Publisher: Springer Nature
    Project: EC | BRAINSCALES (269921), EC | HBP (604102)

    The size of the mammalian brain is inconveniently right in the middle between a few interacting particles and a mole of matter on a logarithmic scale. In physics, we learn that often in the limit where system size goes to infinity, simple mathematical expressions can be...

  • publication . Article . 2013
    Open Access
    Authors:
    Rudolph-Lilith, Michelle; Muller, Lyle E;
    Publisher: Springer Science and Business Media LLC
    Project: EC | BRAINSCALES (269921)

    In the past two decades, significant advances have been made in understanding the structural and functional properties of biological networks using graph-theoretic analysis. In general, most graph-theoretic studies are conducted in the presence of serious uncertainties,...

  • publication . Article . Other literature type . 2014
    Open Access English
    Authors:
    Vella, Michael; Cannon, Robert C.; Crook, Sharon; Davison, Andrew P.; Ganapathy, Gautham; Robinson, Hugh P. C.; Silver, R. Angus; Gleeson, Padraig;
    Publisher: HAL CCSD
    Project: NIH | COMORBID MENTAL DISORDERS... (5R01MH061905-05), NIH | CRCNS Data Sharing: Neuro... (5R01EB014640-02), WT | Development and standardi... (086699), EC | BRAINSCALES (269921), EC | NEUROGAIN (294667)

    International audience; NeuroML is an XML-based model description language, which provides a powerful common data format for defining and exchanging models of neurons and neuronal networks. In the latest version of NeuroML, the structure and behavior of ion channel, syn...

  • publication . Preprint . Article . Other literature type . Conference object . 2016
    Open Access English
    Authors:
    Hannah Bos; Markus Diesmann; Moritz Helias;
    Project: EC | BRAINSCALES (269921), WT | The Open Source Brain rep... (101445), EC | HBP (604102), EC | HBP SGA1 (720270)

    Oscillations are omnipresent in neural population signals, like multi-unit recordings, EEG/MEG, and the local field potential. They have been linked to the population firing rate of neurons, with individual neurons firing in a close-to-irregular fashion at low rates. Us...

283 research outcomes, page 5 of 29
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