Villa Finaly, Florence. Tuscany
May 9-16, 2015
Coordinators:
Richard Frackowiak, CHUV and Human Brain Project, Lausanne (Switzerland) and Francesco Pavone, University of Florence (Italy)
Faculty:
- Paul Thompson, University of Southern California, Los Angeles, USA
- Hanchuan Peng, Allen Instititute for Brain Sciences, Seattle, USA
- Alexander Borst, Max Planck Institute of Neurobiology, Munich, Germany
- Jean Francois Mangin, CEA, Gif-sur-Yvette, France
- Kevin Briggman, National Institute of Health, Bethesda, USA
- Hongkui Zeng, Allen Instititute for Brain Sciences, Seattle, USA
The application of modern computerized analytic techniques is leading to significant progress in the application of advanced human neuroimaging to clinical science. The variety of ways in which brain tissues can be characterised by modern MRI is also having an impact on the understanding of disease mechanisms: the development of sophisticated, rule-based, image classification and data-mining techniques is also setting the ground for potential further advance.
From genes, through functional protein expression, to cerebral networks and functionally specialised areas we have accumulated a mass of knowledge about the brain that defies easy interpretation. Advances in information technologies, from supercomputers to distributed and interactive databases, allied to new mathematics, knowledge of the human genome, and the increasingly sophisticated brain imaging methods will make it possible to federate and integrate existing and future clinical and neuroscientific data for a more biologically-based, mechanistic approach to brain disorders. This Advanced Course will be a forum where researchers from diverse disciplines will meet, will interact, and will bring cross-disciplinary understanding of new findings.
Specific topics that will be major focus include: – The Human Brain Project – Advanced computational imaging techniques and applications for connectomes – Brain optical imaging – Genetic approaches to cell type targeting and circuit mapping – Mapping the mesoscale connectomes – Global tractography, atlas of bundles and connectivity-based parcellation – Neural circuits for elementary motion detection – Cellular resolution connectomics
