Amber network

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The Bernstein Network is a research association in the field of computational neuroscience ; this area combines experimental neuroscientific approaches with theoretical models and computer simulations.

Bernstein Network Computational Neuroscience worldwide

The network goes back to a funding initiative of the Federal Ministry of Education and Research (BMBF) and was founded in 2004 with the aim of further developing capacities in the field of computational neuroscience and promoting the transfer of theoretical knowledge to clinical and technical applications. After more than ten years of funding from the BMBF, the network consists of more than 200 working groups.

It is named after the German physiologist and biophysicist Julius Bernstein (1839–1917), whose "membrane theory" (1902) provided the first biophysical explanation of how nerve cells transmit and process information through electrical currents.

history

The National Bernstein Network Computational Neuroscience (NNCN) is a German research network that was set up in 2004 as a funding initiative of the Federal Ministry of Education and Research . The aim of the initiative was the long-term establishment of the research discipline Computational Neuroscience in Germany.

As part of the federal government's high-tech strategy , the Bernstein network is now being supported with a total volume of around 170 million euros. The network includes over 200 working groups at more than 25 locations nationwide. The research groups involved are based at universities and non-university research institutes (Fraunhofer, Helmholtz, Leibniz and Max Planck institutes). With the help of BMBF funding, 22 new professorships in the field of computational neuroscience were created at German universities as part of the Bernstein Network, which the federal states will continue to maintain on a permanent basis.

Scientists in the network are involved in degree programs and further training opportunities.

In cooperation with more than twenty industrial partners, specific biomedical or technological application perspectives are (further) developed (e.g. brain-computer interface , retina implant , cochlear implant , prosthesis , driver assistance systems , neuromorphic chips ). In collaboration with clinical researchers, new diagnostic methods, therapeutic approaches or aids for neurological or psychiatric diseases are researched (e.g. epilepsy , tinnitus , amyotrophic lateral sclerosis , Parkinson's disease , stroke , depression , schizophrenia ).

structure

Six Bernstein Centers (in Berlin, Freiburg, Göttingen, Heidelberg-Mannheim, Munich and Tübingen) form local structural cores of the Bernstein Network. As additional, smaller structural cores, five Bernstein groups (in Bochum, Bremen, Heidelberg, Jena and Magdeburg) were set up during the BMBF funding phase. Several Bernstein cooperations link Bernstein Centers with other working groups spread across Germany.

Amber price

From 2006 to 2015 the BMBF presented the Bernstein Award to an outstanding young scientist in the field of computational neuroscience. The award, endowed with up to 1.25 million euros over five years, made it possible to set up an independent junior research group at a German research institution.

Award winners

  • 2006: Matthias Bethge : "Research into neural coding in the early visual processing stages"
  • 2007: Jan Benda : "The role of noise in sensory signal processing"
  • 2008: Susanne Schreiber : "From the cell to the neural network: Influence of cell-intrinsic properties on the processing of neural signals"
  • 2009: Jan Gläscher: "Modulation of value representations in human decision-making: a neurocomputational approach"
  • 2010: Udo Ernst: "How do factors such as knowledge and context intervene in visual image processing?"
  • 2011: Henning Sprekeler: "Learning and memory in balanced systems"
  • 2012:
    • Tim Vogels: "What makes our brain so flexible"
    • Ilka Diester: "How our brain encodes movement"
  • 2013: Hermann Cuntz: "Brain interconnections on the track"
  • 2014: Raoul-Martin Memmesheimer: "How nerve cells communicate with precise timing"
  • 2015: Philipp Berens: "Getting to the bottom of the retina"

Integration into the international research landscape

The German INCF node (G-Node) connects the Bernstein network with the international network of the International Neuroinfomatics Coordination Facility.

From 2010 to 2015, the BMBF, in cooperation with the National Science Foundation (NSF) and the National Institutes of Health (NIH), funded German-US-American cooperation projects in the field of computational neuroscience as part of the Bernstein Network and the CRCNS program .

In cooperation with the BMBF , the German Research Foundation (DFG) and the Japan Science and Technology Agency (JST), German-Japanese cooperation projects in computational neuroscience were announced for the first time in 2011 .

Amber Conference

The Bernstein Conference is the largest annual conference in Europe in the field of Computational Neuroscience. It attracts an international audience from all over the world and was organized by members of the network at annually changing locations until 2017. The Bernstein Conference will take place in Berlin from 2018 to 2022. The conference offers a broad overview of the subject areas of computational neuroscience and neurotechnology.

Bernstein Network Computational Neuroscience eV

In 2009 members of the Bernstein Network founded the non-profit organization Bernstein Network Computational Neuroscience eV, which aims to promote science, research and teaching in Computational Neuroscience and to bring research content and results to the public. The Bernstein Network Computational Neuroscience is open to all researchers in this field or related fields. Individual membership must be supported by two active Bernstein members.

literature

  • Peter Dayan, Larry F. Abbott: Theoretical neuroscience: computational and mathematical modeling of neural systems . MIT Press, Cambridge, Mass 2001, ISBN 0-262-04199-5 .
  • William Bialek, Fred Rieke, David Warland, Rob de Ruyter van Steveninck: Spikes: exploring the neural code . MIT Press, Cambridge, Mass 1999, ISBN 0-262-68108-0 .
  • David Sterratt, Bruce Graham, Andrew Gillies, David Willshaw: Principles of Computational Modeling in Neuroscience . Cambridge University Press, 2011, ISBN 978-0521877954 .
  • Sonja Grün, Stefan Rotter (eds.): Analysis of Parallel Spike Trains . Springer Series in Computational Neuroscience, 2010. ISBN 978-1441956743 .
  • Hanspetter A. Mallot: Computational Neuroscience: A first course . Springer Series in Bio- / Neuroinformatics, 2013. ISBN 978-3319008608 .
  • James M. Bower (ed.): 20 years of Computational Neuroscience . Springer Series in Computational Neuroscience, 2013. ISBN 978-1461414230 .

Web links

Individual evidence

  1. Overview of the Bernstein Network
  2. Contribution to the Biotechnology Forum on the second funding period of the Bernstein Centers ( Memento of the original from March 24, 2014 in the Internet Archive ) Info: The archive link was inserted automatically and has not yet been checked. Please check the original and archive link according to the instructions and then remove this notice.  @1@ 2Template: Webachiv / IABot / www.biotechnologie-forum.net
  3. Information about the Bernstein Centers on the website of the Bernstein Network
  4. Information about the Bernstein groups on the website of the Bernstein Network
  5. Information on the Bernstein cooperations on the website of the Bernstein Network
  6. CRCNS program
  7. Information on D-USA cooperations on the website of the Bernstein Network
  8. ^ German-Japanese funding program in Computational Neuroscience
  9. ^ Information on D cooperations on the website of the Bernstein Network