Journal Article FZJ-2022-03326

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Brain signal predictions from multi-scale networks using a linearized framework

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2022
Public Library of Science San Francisco, Calif.

PLoS Computational Biology 18(8), e1010353 () [10.1371/journal.pcbi.1010353]

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Contributing Institute(s):
  1. Jülich Supercomputing Center (JSC)
  2. Computational and Systems Neuroscience (INM-6)
  3. Theoretical Neuroscience (IAS-6)
  4. Jara-Institut Brain structure-function relationships (INM-10)
Research Program(s):
  1. 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511) (POF4-511)
  2. 5234 - Emerging NC Architectures (POF4-523) (POF4-523)
  3. 5235 - Digitization of Neuroscience and User-Community Building (POF4-523) (POF4-523)
  4. 5232 - Computational Principles (POF4-523) (POF4-523)
  5. HBP SGA1 - Human Brain Project Specific Grant Agreement 1 (720270) (720270)
  6. HBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907) (785907)
  7. HBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539) (945539)
  8. SLNS - SimLab Neuroscience (Helmholtz-SLNS) (Helmholtz-SLNS)
  9. PhD no Grant - Doktorand ohne besondere Förderung (PHD-NO-GRANT-20170405) (PHD-NO-GRANT-20170405)

Appears in the scientific report 2022
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Document types > Articles > Journal Article
Institute Collections > INM > INM-10
Institute Collections > IAS > IAS-6
Institute Collections > INM > INM-6
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Institute Collections > JSC
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Open Access

 Record created 2022-09-13, last modified 2024-03-13


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