Download Program


Lecturers

    Federico Carnevale – DeepMind Technologies, London, UK
    Florian Engert – Harvard University, USA
    Balázs Hangya – IEM, Hungarian Academy of Sciences, Hungary
    TomᚠHromαdka – Slovak Academy of Sciences, Slovakia
    Benjamin Judkewitz – Einstein Center for Neuroscience, Germany
    Georg Keller – Friedrich Miescher Institute, Switzerland
    Emilie Mace – Max Planck Institute of Neurobiology, Germany
    Tom Mrsic-Flögel – Sainsbury Wellcome Centre, UCL, UK
    Ruben Portugues – Max Planck Institute of Neurobiology, Germany
    Tobias Rose – Max Planck Institute of Neurobiology, Germany
    Daniela Vallentin – Max-Planck-Institute for Ornithology, Germany
    Petr Znamenskiy – Francis Crick Institute, UK


Organizers

  • Florin Albeanu – Cold Spring Harbor Laboratory, NY, USA
  • Adam Kampff – Sainsbury Wellcome Centre, University College London, UK
  • Raul Mureşan – Transylvanian Institute of Neuroscience, Cluj-Napoca, Romania

Teaching assistants & organizing team

  • Harald Bârzan – Transylvanian Institute of Neuroscience, Cluj-Napoca, Romania
  • Antonin Blot – Sainsbury Wellcome Centre, UCL, UK
  • Andrei Ciuparu – Transylvanian Institute of Neuroscience, Cluj-Napoca, Romania
  • Medorian Gheorghiu – Transylvanian Institute of Neuroscience, Cluj-Napoca, Romania
  • Matνas Goldin – Institut des Neurosciences Paris-Saclay, France
  • Priyanka Gupta – Cold Spring Harbor Laboratory, NY, USA
  • Ana Maria Ichim – Transylvanian Institute of Neuroscience, Cluj-Napoca, Romania
  • Mateusz Kostecki – Nencki Institute for Experimental Biology, Warsaw, Poland
  • Fred Marbach – Sainsbury Wellcome Centre, UCL, UK
  • Vasile V. Moca – Transylvanian Institute of Neuroscience, Cluj-Napoca, Romania
  • Adriana Nagy-Dăbâcan – Transylvanian Institute of Neuroscience, Cluj-Napoca, Romania
  • Nacho Sanguinetti – Bernstein Center for Computational Neuroscience, Berlin, Germany
  • Iuliu Vasilescu – Politechnica University, Bucharest, Romania
  • Jakob Voigts – Massachusetts Institute of Technology, USA

Support and administration

  • Laura Rus – Transylvanian Institute of Neuroscience, Cluj-Napoca, Romania
  • Cosmina Pavel – Transylvanian Institute of Neuroscience, Cluj-Napoca, Romania
  • Attila Kelemen – Babes-Bolyai University, Cluj-Napoca, Romania
  • Gabriel Pavel – Transylvanian Institute of Neuroscience, Cluj-Napoca, Romania
  • Mădălina Mastacan – Transylvanian Institute of Neuroscience, Cluj-Napoca, Romania
  • Loredana Dan – Transylvanian Institute of Neuroscience, Cluj-Napoca, Romania

Topics

  • Basic Optics – Diffraction and Resolution. Illumination Techniques. Numerical Aperture.
  • Optical bench exercises – Lenses, optical systems, illumination methods, basic microscopy techniques. How to custom build different kinds of microscopes.
  • Noise measurements and photo-sensors – Shot noise, optical detectors, amplifiers, NI-DAQ, CCD cameras, photodiodes, photo multiplier tubes (PMTs).
  • Light and fluorescence microscopy – Fluorescence, FRAP, photo-activation, photo-conversion. Point spread function measurements, basic image analysis (deconvolution, denoising, PCA).
  • Fluorescence probes – GFP, GFP based chromophores, organic calcium dyes, genetically encoded calcium dyes, pHluorins, voltage sensitive dyes.
  • Intrinsic Optical Imaging – Visual, auditory & barrel cortex; olfactory bulb. Students will build a custom wide field fluorescence and intrinsic optical imaging rig.
  • Scanning microscopy – Confocal and two-photon microscopy. Lasers. Students will build a two-photon microscope and write custom scanning and acquisition software in MATLAB and NI DAQmx. The ScanImage API.
  • Viral approaches to label, monitor and alter neuronal circuits.
  • Optogenetics – Light activated ion channels and pumps. Patterned photo-stimulation techniques.
  • Benchtop electronics and basic electrophysiology – Impedence and Dipoles. Amplifiers. Extracellular and intracellular recordings. LFP; single unit, multi-unit extracellular recordings, tetrodes, electrode arrays; patch clamp.
  • Awake head fixed and freely moving optical and electrophysiological recording strategies in rodents – Microdrives. Fiber optic based systems. Open source systems. Open Ephys.
  • Techniques for electrophysiological data analysis.
  • Monitoring animal behavior – Open Source tools for acquisition and analysis of video data. Intro to Bonsai and Arduino. Training Strategies. Closed loop systems.
  • Neuronal functional connectivity and neuronal connectomics – Serial electron-microscopy and trans-synaptic labeling methods.
  • Synchrony and oscillations.
  • Cortical attention, sparse neuronal codes.
  • Decision making, uncertainty, neuro-modulatory systems.
  • Machine learning and artificial intelligence.
  • Governance and ethics.
  • Laboratory animal science.

© TENSS 2021