The toolbox for investigating the function of neural circuits
15 – 19 February , University of Padua – Italy
Investigating information processing and identifying operational rules of brain neural circuits relies on the capability to selectively record and stimulate multiple neurons within a network.
The toolbox of available techniques conceived to meet this need is rapidly expanding.
The CSN School on Neurotechniques 2016 will offer an overview on advanced electrical- and light-based recording methods of neuronal excitability, focusing on those that are most relevant for the investigation of neural networks ‘in vitro’ and ‘in vivo’ and for application in neuroprosthetics.
Methods and protocols on laboratory techniques and signal analysis will be presented.
- Luca Berdondini Italian Institute of Technology, Genova, IT
- Stefano Ferraina University of Rome ‘La Sapienza’, IT
- Michele Giugliano University of Antwerp, BE
- Giacomo Indiveri INI, Zurich , CH
- Jonathan Mapelli University of Modena, IT
- Marcello Massimini University of Milan , IT
- Nurmikko Arto Brown University, Providence, USA
- Tullio Pozzan CNR Rome, IT
- Themis Prodromakis University of Southampton, UK
- Roland Thewes University of Berlin, DE
Paul Verschure ICREA at Universitat Pompeu Fabra, ES
- Guenther Zeck NMI at the University of Tuebingen, Reutlingen, DE
- Ralf Zeitler Venneos , Stuttgart, DE
- Davide Zoccolan SISSA, Trieste, IT
For more information, contact:
The School is sponsored by Padua University and the EU funded project “The Convergent Science Network of Biomimetics and Neurotechnology” FP7-ICT-601167 (http://csnetwork.eu/)
- Multi-electrode and multi-transistor arrays
- Implantable brain probes for acute and chronic recording
- Transcranic magnetic stimulation
- Mixed electrophysiology, genetics and behavior approaches
- Closed-loop electrophysiology and neuromorphic systems
- Genetically encoded fluorescent probes
- Two-photon microscopy
- Signal Analysis
- Calcium imaging
- Neuronal culture techniques
- In vivo electrophysiology
Target Audience and Registration
- PhD students
- postdoctoral researchers
- scientists working in related fields
Candidates will be selected on the basis of the reference letter and/or CV provided at the moment of the online registration.