Course program, June 2018


11 June 2018

  • 8.00 - 9.00 Registration
  • 9.00 - 9.20 Opening and welcome
  • I-A session. Neuroinformatics methods in neuroscience and medicine.
  • 9.20 - 10.40 Prof. B. Graham, Institute of Mathematics and Informatics, University of Stirling, UK
    From neurons and synapses to networks: Basics of Computational Neuroscience: Neurons and Synapses to Networks
  • 10.40 - 11.00 Coffee/Tea
  • 11.00 - 12.00 Dr. A.Roth, Wolfson Institute of Biomedical Research, University College London, UK
    Introduction to NEURON.
  • 12.00 - 12.40 Prof. A. Saudargiene, Neuroscience Institute, Lithuanian University of Health Sciences, Kaunas, Lithuania; Department of Informatics, Vytautas Magnus University, Kaunas, Lithuania
    Memory, learning and synaptic plasticity.
  • 12.40 - 13.40 Lunch. Coffee/Tea
  • 13.40 - 14.40 Prof. P. Jedlicka, NeuroScience Center, Goethe-University, Frankfurt, Germany
    Compartmental models of neuronal excitability and plasticity in healthy and diseased hippocampus.
  • 14.40 - 15.40 Prof. D. Wojcik, Nencki Institute of Experimental Biology, Warsaw, Poland
    Extracellular electrophysiology from modeling perspective
  • 15.40 - 16.00 Coffee/Tea
  • I-B session. Computer exercises. Modeling the healthy brain
  • 16.00 - 19.00 Dr. A.Roth, Wolfson Institute of Biomedical Research, University College London, UK,
    Prof. B. Graham, Institute of Mathematics and Informatics, University of Stirling, UK
    Prof. A. Saudargiene, Neuroscience Institute, Lithuanian University of Health Sciences, Kaunas, Lithuania; Department of Informatics, Vytautas Magnus University, Kaunas, Lithuania
    Hands on NEURON software. Simulating synapses, neurons and networks in health.
  • 19.00 - 20.00 Coffee/Tea. Poster session and networking

12 June 2018

  • I session. Neuroinformatics methods in neuroscience and medicine.
  • 8.30 - 9.00 Morning Coffe/Tea
  • 9.00 - 10.00 Prof. M.-L.Linne, Tampere University of Technology, Finland; The Human Brain Project
    Introduction to Neuroinformatics: From wet-lab data, informatics tools and modeling of neuronal and glial functions to engineering applications
  • 10.00 - 11.00 Prof. G. Einevoll, UiO Department of Physics The Faculty of Mathematics and Natural Sciences, Norway
    Neuroscience with both hands – bridging brain scales with mathematics
  • 11.00 - 11.30 Coffee/Tea
  • II-A session. EEG/SEEG signal processing. Forward and Inverse modeling.
  • 11.30 - 13.00 Prof. Louis Maillard / Olivier Aron, University of Lorraine, CRAN, France
    Clinical / Neuroscientific aspects of EEG and SEEG analysis.
  • 13.00 - 14.00 Lunch. Coffee/Tea
  • 14.00 - 15.30 Prof. R.Ranta, University of Lorraine, CRAN, France
    EEG signal processing: from filtering and artifact removal algorithms to forward and inverse modeling.
  • 15.30 - 16.00 Coffee/Tea
  • II-B session. Computer exercises. Modeling head, simulating and localizing sources.
  • 16.00 - 18.30 Prof. R.Ranta, University of Lorraine, CRAN, France
    Forward/Inverse modeling. EEG signal processing.
  • Dinner and Networking

13 June 2018

  • III-A session. Introduction to Deep Learning.
  • 8.30 - 9.00 Morning Coffe/Tea
  • 9.00 - 10.00 Ph.D. J. Hofmanis, Ph.D. G. Bergmanis-Korats, Ventspils University of Applied Sciences, Smart Technology Research Centre, Ventspils, Latvia
    Introduction to Deep Learning: Object Detection using ConvNets Part I
  • 10.00 - 10.15 Coffee/Tea
  • 10.15 - 12.00 Ph.D. J. Hofmanis, Ph.D. G. Bergmanis-Korats Ventspils University of Applied Sciences, Smart Technology Research Centre, Ventspils, Latvia
    Introduction to Deep Learning: Object Detection using ConvNets Part II
  • 12.00 - 13.00 Lunch. Coffee/Tea
  • III-B session. Computer exercises. Hands on DNN
  • 13.00 - 17.00 Ph.D. J. Hofmanis, Ph.D. G. Bergmanis-Korats, Ventspils University of Applied Sciences, Ventspils, Latvia
    Introduction to Deep Learning: Data preparation, model training and deployment.
  • Coffe/Tea. Farewell.

    BNNI 2018

    BNNI 2018 | 6th Baltic-Nordic School on Neuroinformatics (BNNI 2018). Understanding the Brain: from Neuroscience to Deep Learni

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