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‘Human brain project’ to accelerate brain-like technology

30 March 2016

A European project involving universities and research centres launched a range of prototype computer platforms to support brain research.

Image courtesy of University of Manchester

The ‘Human Brain Project’ has released six new informatics-based platforms across Europe which aim to accelerate scientific understanding of the human brain, make advances in defining and diagnosing brain disorders, and develop new brain-like technologies. The platforms are designed to help researchers advance faster and efficiently by sharing data and results, and by exploiting advanced ICT capabilities. The platforms should enable closer collaboration between scientists to create more detailed models and simulations of the brain.

The University of Manchester’s contribution to the project is SpiNNaker (short for Spiking Neural Network Architecture), a computing platform made up of 500,000 microprocessors which emulates the way brain neurons fire signals in real time. SpiNNaker can be used to accurately model areas of the brain, and to test new hypotheses about how the brain might work. As it runs at the same speed as the biological brain, it can be used to control robotic systems, providing ‘embodiment’ for the brain models. This biological approach to robot control is very different from the algorithmic systems more commonly used in robotics.

The development of SpiNNaker has largely been funded by the UK Engineering and Physical Sciences Research Council (EPSRC), and the University of Manchester also contributed towards the project’s costs, as well as converting a space in the University’s Kilburn Building for the machine to be located and operated. The ‘Human Brain Project’ is supporting the software required to make the platform available to the world-wide scientific community.

The project aims to deliver a collaboratively-built first simulation of the human brain by 2023, which will not be a complete replication of every detail, but will provide a framework for integrating data and knowledge about the human brain from worldwide research and clinical studies.

For more information and too watch a short video, click here.


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