Download Program


Lecturers

  • Upinder Bhalla – National Centre for Biological Sciences, India
  • Federico Carnevale – DeepMind Technologies, London, UK
  • Matthew Cook – UZH, Institute of Neuroinformatics, Zurich, Switzerland
  • 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
  • Christian Machens – Champalimaud Foundation, Portugal
  • Markus Meister – California Institute of Technology, USA
  • Marta Moita – Champalimaud Foundation, Portugal
  • Tom Mrsic-Flögel – Sainsbury Wellcome Centre, University College London, UK
  • Venkatesh Murthy – Harvard University, USA
  • Ruben Portugues – Max Planck Institute of Neurobiology, Germany
  • Tobias Rose – Max Planck Institute of Neurobiology, Germany
  • Botond Roska – Friedrich Miescher Institute, Switzerland
  • Wolf Singer – Max Planck Institute for Brain Research, Germany
  • Nao Uchida – Harvard University, USA
  • Daniela Vallentin – Max-Planck-Institute for Ornithology, Germany
  • Mitsuko Watabe-Uchida – Harvard University, USA
  • Chris Xu – Cornell University, USA


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

  • Harald Bârzan – Transylvanian Institute of Neuroscience, Cluj-Napoca, Romania
  • Antonin Blot – Sainsbury Wellcome Centre, UCL, UK
  • Rob Campbell – Sainsbury Wellcome Centre, UCL, UK
  • Andrei Ciuparu – Transylvanian Institute of Neuroscience, Cluj-Napoca, Romania
  • Aleena Garner – Friedrich Miescher Institute, Basel, Switzerland
  • Medorian Gheorghiu – Transylvanian Institute of Neuroscience, Cluj-Napoca, Romania
  • Priyanka Gupta – Cold Spring Harbor Laboratory, NY, USA
  • Mitra Javadzadeh – Sainsbury Wellcome Centre, UCL, UK
  • Mateusz Kostecki – Nencki Institute for Experimental Biology, Warsaw, Poland
  • Gonçalo Lopes – Sainsbury Wellcome Centre, UCL, UK
  • Fred Marbach – Sainsbury Wellcome Centre, UCL, UK
  • Vasile V. Moca – Transylvanian Institute of Neuroscience, Cluj-Napoca, Romania
  • Mehrab Modi – Janelia Research Campus, USA
  • Adriana Nagy-Dăbâcan – Transylvanian Institute of Neuroscience, Cluj-Napoca, Romania
  • Jon Newman – Massachusetts Institute of Technology, USA
  • Bruno Pichler – INSS (Independent NeuroScience Services), UK
  • Nacho Sanguinetti – Bernstein Center for Computational Neuroscience, Berlin, Germany
  • Hande Tunbak – Wolfson Institute of Biomedical Research - Division of Medicine, UCL, UK
  • Iuliu Vasilescu – Politechnica University, Bucharest, Romania
  • Jakob Voigts – Massachusetts Institute of Technology, USA
  • Petr Znamenskiy – Sainsbury Wellcome Centre, UCL, UK

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.

© TENSS 2019