Helmchen Haiss Kampa
Fakultäten » Medizinische Fakultät » Hirnforschung, Institut für » Prof. Dr. Fritjof Helmchen » Helmchen Haiss Kampa
Current research project
| Title / Titel | Brain-inspired multiscale computation in neuromorphic hybrid systems | ||||||
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| Abstract (PDF, 14 KB) | |||||||
| Summary / Zusammenfassung | The BrainScaleS project aims at understanding function and interaction of multiple spatial and temporal scales in brain information processing. The fundamentally new approach of BrainScaelS lies in the in-vivo biological experimentation and computational analysis. Spatial scales range from individual neurons over larger neuron populations to entire functional brain areas. Temporal scales range from milliseconds relevant for event based plasticity mechanisms to hours or days relevant for learning and development. In the project generic theoretical principles will be extracted to enable an artificial synthesis of cortical-like cognitive skills. Both, numerical simulations on petaflop supercomputers and a fundamentally different non-von Neumann hardware architecture will be employed for this purpose. Neurobiological data from the early perceptual visual and somatosensory systems will be combined with data from specifically targeted higher cortical areas. Functional databases as well as novel project-pecific experimental tools and protocols will be developed and used. New theoretical concepts and methods will be developed for understanding the computational role of the complex multi-scale dynamics of neural systems in-vivo. Innovative in-vivo experiments will be carried out to guide this analytical understanding. Multiscale architectures will be synthesized into a non-von Neumann computing device realised in custom designed electronic hardware. The proposed Hybrid Multiscale Computing Facility (HMF) combines microscopic neuromorphic physical model circuits with numerically calculated mesoscopic and macroscopic functional units and a virtual environment providing sensory, decision-making and motor interfaces. The project also plans to employ petaflop supercomputing to obtain new insights into the specific properties of the different hardware architectures. |
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| Project leadership and contacts / Projektleitung und Kontakte |
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| Other links to external web pages | http://brainscales.kip.uni-heidelberg.de/ | ||||||
| Funding source(s) / Unterstützt durch |
EU FP7-ICT-2009-6, 'BrainScaleS'GA 269921 |
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| In collaboration with / In Zusammenarbeit mit |
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| Duration of Project / Projektdauer | Jan 2011 to Dec 2014 |