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Connecting Connectomes

Connecting Connectomes Neuroinform (2013) 11:389–392 DOI 10.1007/s12021-013-9207-0 EDITORIAL Maryann E. Martone & Giorgio A. Ascoli Published online: 5 October 2013 Springer Science+Business Media New York 2013 New techniques and paradigms in neuroscience have drastical- parameters explicitly formalizes the underlying assumptions, ly increased the amount and diversity of experimental measure- at the same time requiring an adequate neuroinformatics in- ments and simulation results to be handled and processed. This frastructure. In fact, one of the main deliverables of the HBP development requires new approaches for data storage, sharing, will be its software infrastructure, thus emphasizing software analysis, co-registration, search, and exchange. As often development at least as much as computational modeling. The discussed in the pages of this journal, the design and imple- US BRAIN initiative, on the other hand, starts with a mentation of broadly accepted and generalizable solutions will neurotechnology aim, to create as of yet lacking methods for critically rely on both community-driven initiatives and stan- comprehensive brain activity mapping. Again, it is immedi- dardization. The recent announcements of the Human Brain ately clear from the scale of the endeavor that ensuring data of Project (HBP) by the European Community and of the Brain such a magnitude are suitable http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Neuroinformatics Springer Journals

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Publisher
Springer Journals
Copyright
Copyright © 2013 by Springer Science+Business Media New York
Subject
Biomedicine; Neurosciences; Bioinformatics; Computational Biology/Bioinformatics; Computer Appl. in Life Sciences; Neurology
ISSN
1539-2791
eISSN
1559-0089
DOI
10.1007/s12021-013-9207-0
pmid
24096724
Publisher site
See Article on Publisher Site

Abstract

Neuroinform (2013) 11:389–392 DOI 10.1007/s12021-013-9207-0 EDITORIAL Maryann E. Martone & Giorgio A. Ascoli Published online: 5 October 2013 Springer Science+Business Media New York 2013 New techniques and paradigms in neuroscience have drastical- parameters explicitly formalizes the underlying assumptions, ly increased the amount and diversity of experimental measure- at the same time requiring an adequate neuroinformatics in- ments and simulation results to be handled and processed. This frastructure. In fact, one of the main deliverables of the HBP development requires new approaches for data storage, sharing, will be its software infrastructure, thus emphasizing software analysis, co-registration, search, and exchange. As often development at least as much as computational modeling. The discussed in the pages of this journal, the design and imple- US BRAIN initiative, on the other hand, starts with a mentation of broadly accepted and generalizable solutions will neurotechnology aim, to create as of yet lacking methods for critically rely on both community-driven initiatives and stan- comprehensive brain activity mapping. Again, it is immedi- dardization. The recent announcements of the Human Brain ately clear from the scale of the endeavor that ensuring data of Project (HBP) by the European Community and of the Brain such a magnitude are suitable

Journal

NeuroinformaticsSpringer Journals

Published: Oct 5, 2013

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