The third edition of TENSS will take place between 1-17 July, 2014. The confirmed lecturers are:
- Florin Albeanu
- Upinder Bhalla
- Juan Burrone
- Florian Engert
- Viviana Gradinaru
- Sonja Hofer
- Tomáš Hromádka
- Mark Hübener
- Adam Kampff
- Steffen Katzner
- Georg Keller
- Hannah Monyer
- Tom Mrsic-Flögel
- Raul Mureşan
- Venkatesh Murthy
- Danko Nikolić
- Bence Ölveczky
- Wolf Singer
The studied topics are:
Topics
- Basic Optics.
- 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.
- Scanning microscopy – Confocal and two-photon microscopy. Students will build a custom two-photon microscope.
- Viral approaches to label, monitor and alter neuronal circuits.
- Optogenetics – Light activated ion channels and pumps.
- Basic electrophysiology – Extracellular and intracellular recordings. LFP; single unit, multi-unit extracellular recordings, tetrodes, electrode arrays; patch clamp.
- Awake head fixed optical and electrophysiological recording strategies in rodents.
- Synaptic plasticity – Long and short term plasticity. Homeostasis.
- Techniques for electrophysiological data analysis.
- 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.
- Introduction to theoretical and computational modeling of neuronal circuits.