Journal Article

FZJ-2019-04664

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Editorial: Linking experimental and computational connectomics

Peyser, A. (Corresponding author)FZJ* ; Diaz, S.FZJ* ; Klijn, W.FZJ* ; Morrison, A.FZJ* ; Triesch, J.

2019
The MIT Press Cambridge, MA

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Please use a persistent id in citations: http://hdl.handle.net/2128/23258  doi:10.1162/netn_e_00108

Abstract: Large-scale in silico experimentation depends on the generation of connectomes beyond available anatomical structure. We suggest that linking research across the fields of experimental connectomics, theoretical neuroscience, and high-performance computing can enable a new generation of models bridging the gap between biophysical detail and global function. This Focus Feature on ”Linking Experimental and Computational Connectomics” aims to bring together some examples from these domains as a step toward the development of more comprehensive generative models of multiscale connectomes.

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Contributing Institute(s):

1. Jülich Supercomputing Center (JSC)

Research Program(s):

1. 511 - Computational Science and Mathematical Methods (POF3-511) (POF3-511)
2. 574 - Theory, modelling and simulation (POF3-574) (POF3-574)
3. SMHB - Supercomputing and Modelling for the Human Brain (HGF-SMHB-2013-2017) (HGF-SMHB-2013-2017)
4. PhD no Grant - Doktorand ohne besondere Förderung (PHD-NO-GRANT-20170405) (PHD-NO-GRANT-20170405)
5. SLNS - SimLab Neuroscience (Helmholtz-SLNS) (Helmholtz-SLNS)

Appears in the scientific report 2019

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Database coverage:
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