Saturday 31 October 2020
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January 2020
  • Thu 09

    Workshop on Modeling brain signals

    Alain Destexhe, Gaute Einevoll and Viktor Jirsa are organizing a workshop in Paris on Modeling brain signals. The workshop will be on January 9 and 10, 2020. 


    The goal of the workshop is to review the different approaches to obtain biophysically correct models of brain signals, from different model types such as morphologically- reconstructed models, point neuron models or mean-field and population models. We will consider electric (units, LFP, EcoG, EEG), magnetic, optical (VSD and calcium imaging), up to fMRI signals.

    The registration is free however mandatory due to a limited number of places.
    List of speakers :
    • Costas Anastassiou (Allen Brain Institute)
    • Frederic Chavane (Aix Marseille University)
    • Thomas Deneux (CNRS)
    • Etay Hay (Krembil Centre for Neuroinformatics)
    • Stephanie Jones (Brown University)
    • Nikos Logothetis (Max Planck Institute)
    • Taylor Newton (EPFL)
    • Lauri Parkkonen (Aalto University)
    • Alain Destexhe (CNRS and Paris-Saclay University)
    • Gaute Einevoll (Norvegian University of Life Sciences)
    • Alexis Garcia Rodriguez (CNRS)
    • Viktor Jirsa (Aix Marseille University)
    • Ness Torbjørn (Norwegian University of life Sciences)
    Organizers: Alain Destexhe (CNRS), Gaute Einevoll (NMBU), Viktor Jirsa (AMU)


    Information and Registration:



    Espace vocation République
    22 rue René Boulanger
    75010 Paris

    The closest subway station is "République" (lines 3, 5, 8, 9, 11)

  • Tue 14

    Workshop on Synaptic Plasticity

    Neuroplasticity is the process by which our brain is able to learn and adapt to the changing environment. Neuroplasticity can be observed at multiple scales, from microscopic changes in individual neurons to larger-scale changes in the function of cortical and other brain areas.

    This workshop will cover recent developments in neuroplasticity and learning ranging from molecular and cellular level plasticity changes up to system level changes using both detailed and phenomenological modeling and analysis of experimental data. Topics such as spine dynamics, developmental, homeostatic and structural plasticity will be addressed. The rules governing neuroplasticity are also at the core of current models applied to machine learning which helps for the development of more efficient computers.

    We aim to bring together a group of researchers from the experimental, theoretical and computational neuroscience communities to discuss with researchers interested in learning rules and principles for machine learning applications. A particular interest is in the integration of biologically plausible neuroplasticity rules with the more abstract learning rules in engineering applications.

    The registration is free however mandatory due to a limited number of places.
    Preliminary list of speakers :
    • Guillaume Bellec (TU Graz)
    • Sander Bohte (CWI, NL)
    • Giuseppe Chindemi (BBP, CH)
    • SueYeon Chung (Columbia and MIT, US)
    • Jan Kirchner (MPI Brain Research, DE)
    • Ausra Saudargiene (LSMUNI, LT)
    • Walter Senn (UBERN)
    • Jesper Sjostrom (McGill, CN)
    • Taro Toyoizumi (Riken, JP) 
    • Katharina Wilmes (Imperial, UK)
    • Claire Meissner-Bernard (FMI, CH)
    Organizers: André Grüning (HOST), Wulfram Gerstner (EPFL), Jeanette Hellgren Kotaleski (KTH), Marja-Leena Linne (TUT)

    Information and Registration at


    La Terrasse
    2 place de l'école Militaire
    75007 Paris

  • Fri 31

    Neural Excitability: Theory and Experiments

    The workshop aims at bringing together experimentalists and theoreticians interested in neural excitability and its regulation. Recent years have seen exciting experimental developments in this area, for example with the observation of plasticity of the axonal initial segment (AIS), the periodic nanoscale structure of the axon, new findings on synapses targeting the AIS, the modulation of synaptic transmission by spike initiation dynamics, etc. Although the initiation of action potentials is central to the understanding of network dynamics, relatively few modeling efforts address these new developments. This workshop aims at providing a forum for discussion of these recent findings between theoreticians and experimentalists, as well as at identifying specific hypotheses to be tested and formulating novel theories.

    The registration is free however mandatory due to a limited number of places.

    Preliminary list of speakers
    • Sarah Goethals, Vision Institute, Sorbonne Université
    • Andreas Neef, Max-Planck-Institute for experimental Medicine
    • Susanne Schreiber, Bernstein Center Berlin
    • Shimon Marom, Technion Israel Institute of Technology
    • Christophe Verbist, University of Antwerp
    • Ilya Fleidervish, Ben-Gurion University of the Negev
    • Juan Burrone,  Centre for Developmental Neurobiology, King's College London
    • Maren Engelhardt, Universität Heidelberg
    • Mickael Zbili, Center for Research in Neuroscience, Lyon
    Registration & Information at


    Organizers: Romain Brette (Institut de la Vision)  & Michele Giugliano (Universiteit Antwerpen)


March 2020
  • Wed 04

    EITN Spring School in Computational Neuroscience

    The EITN Spring School in Computational Neuroscience consists of a 10-day course in theoretical and computational neuroscience,
    from cellular to whole-brain levels
    .  The course is structured in thematic days with lectures, tutorials, and project work. 


    The course is typically aimed for PhD students, young postdocs or master students interested to learn more about techniques of computational neuroscience, and the use of various simulation environments for model building. The students will form thematic groups to work on predefined subjects, with the help of tutors.

    The course will cover cellular models, models of brain signals, circuit models and networks, mean-field models, and whole-brain models. There will be lectures and tutorials associated to these topics.

    Four themes will be presented:

    1. Cellular models and brain signals
    2. Network models and brain circuits
    3. Mean-field and population models
    4. Whole-Brain models

    The students interested must apply and be selected by our organizing committee.


    Alain Destexhe (CNRS), Matteo di Volo (Cergy Pontoise University), Albert Gidon (Larkum Lab - Humboldt-Universität zu Berlin), Viktor Jirsa (Aix-Marseille Univeristy), Spase Petroski (Aix-Marseille Univeristy), Sacha van Albada (Forschungszentrum Jülich), Gorka Zamora Lopez (Pompeu Fabra University)

    More information and registration at
    Registration Fee : 300 Euros

    The registration fee covers lunches during the school, coffee breaks and a dinner on March 4th.
    The EITN does not provide help for travel, lodging or computers. Students must come to the course with their laptop computer and have software installed, to allow work on the projects and tutorials. Specific course materials will be sent to the selected students. 

    Deadline for applications: 31th January 2020

    The address is:
    Institut Supérieur Clorivière,
    119, boulevard Diderot,
    75012 PARIS





  • Mon 09

    Meeting on EBRAINS and National Engagement

    This workshop will first show the EBRAINS infrastructure for neuroscience research, as created by the Human Brain Project (HBP). We will next review the different tools of EBRAINS, and how they can be used by neuroscientists. Next we will show a few example use cases from researchers outside the HBP. Finally, we will have a panel discussion with the institutions, to discuss the present and future funding perspectives of EBRAINS, and what sort of national engagement is needed.

    The registration is free however mandatory due to a limited number of seats. 
    You can register at


    Alain Destexhe (CNRS) and Viktor Jirsa (Aix-Marseille University)



    - Jan Bjaalie (University of Oslo)
    - Thomas Boraud (Bordeaux Neurocampus)
    - Sabine Bradler / Katrin Amunts (JUELICH)
    - Andrea Brovelli (INT)
    - Andrew Davison (CNRS)
    - Alain Destexhe (CNRS)
    - Sandra Diaz (JUELICH)
    - Christian Fauteux (EPFL)
    - Viktor Jirsa (AMU)
    - Jacques-Charles Lafoucrière (CEA)
    - Jeff Mangin (NEUROSPIN)
    - Yannick Morel (TU MUNCHEN)



    Salle Roland Garros
    196 Rue du Faubourg Saint-Antoine
    75012 Paris, France

  • Tue 24

    Neural coding in high dimensional, nonlinear systems


    In this workshop we address mechanisms by which brains encode information.

    We will discuss how neurons - leaky, stochastic channels - interact nonlinearly to entrain synchrony and resonance phenomena thereby reducing dimensionality in dynamics of the cell assemblies coding particular representations. From unconscious to conscious brain states, spontaneous neural signals increase in dimensionality. Since neural codes likely lie on low dimensional manifolds, we explore collapses in dimensionality within encoding networks as mechanisms supporting neural information specifically in conscious states.

    We aim to bring together researchers in neuroscience, mathematics, physics, and computer science to explore substrates promoting self-organization of neural dynamics, toward a robust understanding of neural codes important for reverse engineering next generation biomimetic computing architectures.

    The registration is free however mandatory due to a limited number of seats. You can register at

    The workshop lasts a day and a half (from March 24th to March 25th until noon). 



    Jennifer S. Goldman (CNRS), Trang-Anh E. Nghiem (École normale supérieure de Paris), Alain Destexhe (CNRS) and Wolf Singer (Ernst Strüngmann Institute, Max Planck Society) with the support of the Paris IAS.

    Preliminary list of speakers:

    - Mallory Carlu (CNRS)
    - Damien Depannemaecker (CNRS)
    Alain Destexhe (French National Center for Scientific Research)
    - Leon Glass (McGill University)
    - Jennifer Goldman (French National Center for Scientific Research)
    - Julie Grollier (CNRS/Thales)
    - Hermann Haken (Institute of Theoretical Physics, Universität Stuttgart)
    - Vincent Hakim (Ecole Normale Supérieure de Paris)
    - Viktor Jirsa (Aix-Marseille University)
    - Trang-Anh Nghiem (Ecole Normale Supérieure de Paris)
    - Maris Ozols (Department of Algorithms and Complexity, University of Amsterdam)
    - Wolf Singer (Ernst Strüngmann Institute, Max Planck Society)
    - David Ruelle (Institut des Hautes Etudes Scientifiques, University of Paris-Saclay)
    - Nuria Tort-Colet (CNRS)
    - Sacha van Albada (Forschungszentrum Jülich)


    IEA de Paris, 17 quai d'Anjou, 75004 Paris


September 2020