High Performance Computing for Neuroscience

The correct and complete comprehension of the activity of the human brain and its functionalities is one of the most fascinating tasks that scientists face up.
Several projects have been funded by the European Community and by US or other world Governments to augment the knowledge about physiology and mechanisms that are at the basis of the brain activity. This brings consequences that not only involve medicine but also other disciplines like biology, psychology, ethics and law.
What seems very clear from the modern approaches to Neuroscience is the role played by the modelisation and the simulation of brain mechanisms and the sometimes strong intersections between electronic and computer science that lead to new research in reverse engineering of neuronal functions and brain inspired intelligent systems.
This motivates the idea of a Special Session devoted to High Performance Computing for Neuroscience and aiming at collecting recent advances both on the design and test of digital systems and in software (parallel) simulations of brain models. Typical employed technologies include clusters of many core processors or supercomputers, GPUs, parallel DSPs architectures for simulation and FPGA or ASIC for neuronal circuits reproduction (i.e. "brain hardware").

Important Dates:

Paper submission:   10th Sep 2018 5th Oct 2018 15th Oct 2018 30th Oct 2018
Acceptance notification:   17th Oct 2018 15th Nov 2018 23rd Nov 2018 27th Nov 201830th Nov 2018
Camera ready due:   12th Nov 2018 15th Dec 2018 19th Dec 2018
Conference: 13th - 15th Feb 2019


    Notification extended
    November 27, 2018
    November 30, 2018

    July 21, 2018:
    List of accepted special sessions

    July 21, 2018:
    Call for paper available


The focus will be centred both on typical design methodologies and technology and also on the whole application from the concept till up to its realisation and testing phase. Contributes from industry are in this sense welcome. This will allow to deeply explore all those multi-disciplinary aspects that are implicitly included in the design of such systems. A not exhaustive list of topics that can be included might consider highly performant implementations of:
  • neuromorphic computing
  • brain inspired modeling and simulation
  • computational neuroscience
  • neurorobotics
  • neuroinformatics
  • neurobiologic computation mechanisms
  • machine learning and artificial intelligence in neuroscience
  • parallel brain computer interface
  • parallel brain imaging
  • brain sensor and signal high performance acquisition and processing

Programme Co-chairs:

Francesco Leporati, Univ. degli Studi di Pavia, Italy
Pier Stanislao Paolucci, INFN Rome, Italy

Programme Committee:

Francesco Leporati, University of Pavia

Shailesh Appukutan, CNRS

Emanuele Torti, University of Pavia

Elisa Marenzi, University of Pavia

Giordana Florimbi, University of Pavia

Hans Ekkehard Plesser, Norwegian University of Life Sciences

Pier Stanislao Paolucci, INFN Rome

Jian Liu, University of Leicester

Bruno Golosio, University of Cagliari

Egidio D'Angelo, University of Pavia