22 April 2017 - 29 April 2017 Certosa di Pontignano, Siena, Italy Open related link

This Advanced Course will focus on multi-scale aspects of the connectome and will cover the cellular basis of connectivity; large-scale data gathering and data analysis of whole brain connectivity across scales; data integration of multimodal connectome data; data-driven computational modeling and simulation at different scales of brain circuitry; the development of the connectome and its link to behavior and neurological disorders; predicting whole brain dynamics from the connectome; the relationship between the connectome and the diversity of brain states and experiences.

Advanced Course. Chronic Pain: Plasticity and Therapeutic Perspectives

13 May 2017 - 20 May 2017 Certosa di Pontignano, Siena. Open related link

Coordinator: A. Vania Apkarian
Northwestern University, Chicago. USA


Stephen McMahon, King’s College, London (UK)

Volker Neugebauer, Texas Tech University School of Medicine, Lubbock, USA

Giandomenico Iannetti, University College, London. UK

Marwan Baliki, Northwestern University, Chicago, USA

Ulrike Bingel, University of Essen, Germany

Didier Bouhassira, INSERM, Boulogne-Billancourt, France

A. Vania Apkarian, Northwestern University, Chicago. USA

Accumulating evidence points to brain reorganization with chronic pain. Both human brain imaging studies as well as animal model studies specifically interrogating the role of supraspinal plasticity consistently emphasize the role of brain plasticity in chronic pain. It seems that the grey matter of the neocortex dynamically changes with chronic pain, and this reorganization is pain type specific. In parallel to the anatomical changes, brain functional properties change as well, and the best evidence for condition type functional reorganization is now documented in resting-state brain activity, where one can identify a core set of brain networks commonly disturbed with chronic pain, as well as condition-specific functional properties. Moreover, brain functional network properties provide a signature for existence and for emergence of chronic pain both in humans as well as in rodent models for pain chronification. This Advanced Course will gather world leaders in the field who will analyze and discuss upcoming scientific challenges with a small number of participants.


Advanced Course. Learning and Memory: Cellular and Molecular Mechanisms

28 May 2017 - 04 June 2017 Certosa di Pontignano, Siena, Italy Open related link

Susumu Tonegawa, MIT, Cambridge. USA
Alcino J. Silva, University of California Los Angeles. USA


Richard Morris, Centre for Cognitive and Neural Systems, University of Edinburgh, UK

Susumu Tonegawa, Massachusetts Institute of Technology, Cambridge, USA & RIKEN Brain Science Institute, Japan

Alcino Silva, University of California Los Angeles, USA

Nicolas Bazan, LSU Center of Excellence in Neuroscience, New Orleans, USA

Matthew Wilson, Massachusetts Institute of Technology, Cambridge, USA

Howard Eichenbaum, Center for Memory & Brain, Boston University, USA

Kate Jeffery, University College, London, UK

Recent ground-breaking developments in neuroscience, such as optogenetics, in vivo 2-photon confocal microscopy, head mounted microscopes, powerful new developments in modeling, behavioral neuroscience approaches, and sophisticated brain imaging tools, have changed dramatically studies of memory. Most importantly, these developments have fostered interdisciplinary studies that have led to integrated molecular, cellular, systems, cognitive and behavioral explanations of how memories are allocated, formed, consolidated, reconsolidated and retrieved. These studies have also led to mechanistic cross-disciplinary studies of memory disorders, which in some cases led to the development of targeted treatments that are changing how we imagine treating the considerable health burden associated with this large class of conditions. This Advanced Course will review these advances and introduce participants to the technologies and approaches critical to these studies.

Find out more:

4th HBP School - Future Computing: Brain Science and Artificial Intelligence

12 June 2017 - 18 June 2017 Obergurgl Open related link

4th HBP School Future Computing – Brain Science and Artificial Intelligence
Obergurgl, Austria, 12-18 June 2017


The 4th HBP School offers a comprehensive programme covering all aspects of software, hardware, simulation, databasing, robotics, machine learning and theory relevant to the HBP research programme.
Lectures, hands-on tutorials and practical exercises on software tools and neuromorphic hardware systems provide a high level view of the project, computing and ethical aspects of artificial neural systems.
The school offers ample opportunities for scientific exchange between students and faculty during dedicated discussion sessions, tutorials and various social events.

Programme structure
Discussion sessions
Hands-on tutorials
Student lightning talks
Poster presentations
Social events 

Application for this school is open to the whole student community and early post-docs. Up to 40 applicants will be selected based on an academic decision by the Scientific Director. Participants are required to submit an abstract on their current research with their application. Applications from young female investigators are highly encouraged.

Scientific Director
Karlheinz Meier | UHEI

Organised by
HBP Education Programme Office

Upcoming deadlines
Application deadline: 22 March 2017

There is no registration fee. Accommodation will be provided.
Seven travel grants will be available upon request (European students only).

HBP Education Programme Office
Medical University Innsbruck
Müllerstraße 59, 6020 Innsbruck, Austria
Phone: +43 512 9003 71240

Gordon Cheng | TUM
Giacomo Indiveri | ETHZ
Karlheinz Meier | UHEI
Dan Nilsson | LU
More TBC

The venue
The 4th HBP School will take place at the Obergurgl University Center, which is located right next to the ski slopes and hiking trails and only five minutes’ walk from the village centre. It was founded in 1951 by the Obergurgl federal Sports Centre in cooperation with the Alpine Research Centre of the University of Innsbruck. Over the past decades, numerous renowned mountain guides, ski instructors, researchers and scientists gathered here to collaborate on major contributions to sports and science in the Alps.

Obergurgl is located in the Ötztal Alps in Tyrol, Austria, and part of the municipality of Sölden. The village is located 1,907 m (6,257 ft.) above sea level and is primarily a tourist resort with only about 400 permanent residents. Due to its remote location, it is very popular not only for tourists but also among scientists and researchers.

Computing, Brain Science, Artificial Intelligence, Robotics, Machine Learning, Neuromorphic Computing, Databases, High Performance Computing