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Literature DB >> 15114352

Limits to growth: why neuroscience needs large-scale science.

Thomas R Insel¹, Nora D Volkow, Story C Landis, Ting-Kai Li, James F Battey, Paul Sieving.

Abstract

Mesh：

Year: 2004 PMID： 15114352 DOI： 10.1038/nn0504-426

Source DB: PubMed Journal: Nat Neurosci ISSN： 1097-6256 Impact factor: 24.884

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Cited

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11 in total

Review 1. Do brain image databanks support understanding of normal ageing brain structure? A systematic review.

Authors: David Alexander Dickie; Dominic E Job; Ian Poole; Trevor S Ahearn; Roger T Staff; Alison D Murray; Joanna M Wardlaw
Journal: Eur Radiol Date: 2012-02-22 Impact factor: 5.315

2. Interacting with the National Database for Autism Research (NDAR) via the LONI Pipeline workflow environment.

Authors: Carinna M Torgerson; Catherine Quinn; Ivo Dinov; Zhizhong Liu; Petros Petrosyan; Kevin Pelphrey; Christian Haselgrove; David N Kennedy; Arthur W Toga; John Darrell Van Horn
Journal: Brain Imaging Behav Date: 2015-03 Impact factor: 3.978

3. Data sharing for computational neuroscience.

Authors: Jeffrey L Teeters; Kenneth D Harris; K Jarrod Millman; Bruno A Olshausen; Friedrich T Sommer
Journal: Neuroinformatics Date: 2008-02-08

4. Open source tools for the information theoretic analysis of neural data.

Authors: Robin A A Ince; Alberto Mazzoni; Rasmus S Petersen; Stefano Panzeri
Journal: Front Neurosci Date: 2010-05-15 Impact factor: 4.677

5. Towards structured sharing of raw and derived neuroimaging data across existing resources.

Authors: D B Keator; K Helmer; J Steffener; J A Turner; T G M Van Erp; S Gadde; N Ashish; G A Burns; B N Nichols
Journal: Neuroimage Date: 2013-05-30 Impact factor: 6.556

6. National Database for Autism Research (NDAR): Big Data Opportunities for Health Services Research and Health Technology Assessment.

Authors: Nalin Payakachat; J Mick Tilford; Wendy J Ungar
Journal: Pharmacoeconomics Date: 2016-02 Impact factor: 4.981

Limits to growth: why neuroscience needs large-scale science.

Review 1. Do brain image databanks support understanding of normal ageing brain structure? A systematic review.

2. Interacting with the National Database for Autism Research (NDAR) via the LONI Pipeline workflow environment.

3. Data sharing for computational neuroscience.

4. Open source tools for the information theoretic analysis of neural data.

5. Towards structured sharing of raw and derived neuroimaging data across existing resources.

6. National Database for Autism Research (NDAR): Big Data Opportunities for Health Services Research and Health Technology Assessment.

7. SynDB: a Synapse protein DataBase based on synapse ontology.

8. Proposed Training to Meet Challenges of Large-Scale Data in Neuroscience.

9. Functional Magnetic Resonance Imaging (fMRI): A Brief Exercise for an Undergraduate Laboratory Course.

Review 10. Neurogenomics: An opportunity to integrate neuroscience, genomics and bioinformatics research in Africa.