Literature DB >> 25233305

The big data problem: turning maps into knowledge.

Florian Engert1.   

Abstract

In this NeuroView, Engert discusses the challenges for the connectomics field in making insights about brain function from big data.
Copyright © 2014 Elsevier Inc. All rights reserved.

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Year:  2014        PMID： 25233305      PMCID： PMC4857857          DOI： 10.1016/j.neuron.2014.09.008

Source DB:  PubMed          Journal:  Neuron        ISSN： 0896-6273            Impact factor:   17.173


  15 in total

Review 1.  Volume electron microscopy for neuronal circuit reconstruction.

Authors:  Kevin L Briggman; Davi D Bock
Journal:  Curr Opin Neurobiol       Date:  2011-11-24       Impact factor: 6.627

Review 2.  The big and the small: challenges of imaging the brain's circuits.

Authors:  Jeff W Lichtman; Winfried Denk
Journal:  Science       Date:  2011-11-04       Impact factor: 47.728

3.  Convolutional networks can learn to generate affinity graphs for image segmentation.

Authors:  Srinivas C Turaga; Joseph F Murray; Viren Jain; Fabian Roth; Moritz Helmstaedter; Kevin Briggman; Winfried Denk; H Sebastian Seung
Journal:  Neural Comput       Date:  2010-02       Impact factor: 2.026

Review 4.  Neuromodulation of circuits with variable parameters: single neurons and small circuits reveal principles of state-dependent and robust neuromodulation.

Authors:  Eve Marder; Timothy O'Leary; Sonal Shruti
Journal:  Annu Rev Neurosci       Date:  2014       Impact factor: 12.449

5.  Neuroscience. Mapping neural activation onto behavior in an entire animal.

Authors:  Timothy O'Leary; Eve Marder
Journal:  Science       Date:  2014-04-25       Impact factor: 47.728

6.  Using big data to map the network organization of the brain.

Authors:  James E Swain; Chandra Sripada; John D Swain
Journal:  Behav Brain Sci       Date:  2014-02       Impact factor: 12.579

7.  Large-scale electrophysiology: acquisition, compression, encryption, and storage of big data.

Authors:  Benjamin H Brinkmann; Mark R Bower; Keith A Stengel; Gregory A Worrell; Matt Stead
Journal:  J Neurosci Methods       Date:  2009-04-01       Impact factor: 2.390

8.  The challenge of connecting the dots in the B.R.A.I.N.

Authors:  Anna Devor; Peter A Bandettini; David A Boas; James M Bower; Richard B Buxton; Lawrence B Cohen; Anders M Dale; Gaute T Einevoll; Peter T Fox; Maria Angela Franceschini; Karl J Friston; James G Fujimoto; Mark A Geyer; Joel H Greenberg; Eric Halgren; Matti S Hämäläinen; Fritjof Helmchen; Bradley T Hyman; Alan Jasanoff; Terry L Jernigan; Lewis L Judd; Seong-Gi Kim; David Kleinfeld; Nancy J Kopell; Marta Kutas; Kenneth K Kwong; Matthew E Larkum; Eng H Lo; Pierre J Magistretti; Joseph B Mandeville; Eliezer Masliah; Partha P Mitra; William C Mobley; Michael A Moskowitz; Axel Nimmerjahn; John H Reynolds; Bruce R Rosen; Brian M Salzberg; Chris B Schaffer; Gabriel A Silva; Peter T C So; Nicholas C Spitzer; Roger B Tootell; David C Van Essen; Wim Vanduffel; Sergei A Vinogradov; Lawrence L Wald; Lihong V Wang; Bruno Weber; Arjun G Yodh
Journal:  Neuron       Date:  2013-10-16       Impact factor: 17.173

Review 9.  Machines that learn to segment images: a crucial technology for connectomics.

Authors:  Viren Jain; H Sebastian Seung; Srinivas C Turaga
Journal:  Curr Opin Neurobiol       Date:  2010-10       Impact factor: 6.627

Review 10.  Big data, open science and the brain: lessons learned from genomics.

Authors:  Suparna Choudhury; Jennifer R Fishman; Michelle L McGowan; Eric T Juengst
Journal:  Front Hum Neurosci       Date:  2014-05-16       Impact factor: 3.169
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  8 in total

Review 1.  Annual Research Review: Discovery science strategies in studies of the pathophysiology of child and adolescent psychiatric disorders--promises and limitations.

Authors:  Yihong Zhao; F Xavier Castellanos
Journal:  J Child Psychol Psychiatry       Date:  2016-01-06       Impact factor: 8.982

2.  An Introduction to Programming for Bioscientists: A Python-Based Primer.

Authors:  Berk Ekmekci; Charles E McAnany; Cameron Mura
Journal:  PLoS Comput Biol       Date:  2016-06-07       Impact factor: 4.475

3.  Rapid whole brain imaging of neural activity in freely behaving larval zebrafish (Danio rerio).

Authors:  Lin Cong; Zeguan Wang; Yuming Chai; Wei Hang; Chunfeng Shang; Wenbin Yang; Lu Bai; Jiulin Du; Kai Wang; Quan Wen
Journal:  Elife       Date:  2017-09-20       Impact factor: 8.140

4.  Convergent Temperature Representations in Artificial and Biological Neural Networks.

Authors:  Martin Haesemeyer; Alexander F Schier; Florian Engert
Journal:  Neuron       Date:  2019-07-31       Impact factor: 17.173

5.  A neuronal blueprint for directional mechanosensation in larval zebrafish.

Authors:  Gema Valera; Daniil A Markov; Kayvan Bijari; Owen Randlett; Amir Asgharsharghi; Jean-Pierre Baudoin; Giorgio A Ascoli; Ruben Portugues; Hernán López-Schier
Journal:  Curr Biol       Date:  2021-02-04       Impact factor: 10.834

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

Authors:  William Grisham; Barbara Lom; Linda Lanyon; Raddy L Ramos
Journal:  Front Neuroinform       Date:  2016-07-18       Impact factor: 4.081

Review 7.  Non-mammalian models in behavioral neuroscience: consequences for biological psychiatry.

Authors:  Caio Maximino; Rhayra Xavier do Carmo Silva; Suéllen de Nazaré Santos da Silva; Laís do Socorro Dos Santos Rodrigues; Hellen Barbosa; Tayana Silva de Carvalho; Luana Ketlen Dos Reis Leão; Monica Gomes Lima; Karen Renata Matos Oliveira; Anderson Manoel Herculano
Journal:  Front Behav Neurosci       Date:  2015-09-08       Impact factor: 3.558

8.  Will big data yield new mathematics? An evolving synergy with neuroscience.

Authors:  S Feng; P Holmes
Journal:  IMA J Appl Math       Date:  2016-07-11       Impact factor: 0.845
  8 in total

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