Literature DB >> 25349909

Putting big data to good use in neuroscience.

Terrence J Sejnowski1, Patricia S Churchland2, J Anthony Movshon3.   

Abstract

Big data has transformed fields such as physics and genomics. Neuroscience is set to collect its own big data sets, but to exploit its full potential, there need to be ways to standardize, integrate and synthesize diverse types of data from different levels of analysis and across species. This will require a cultural shift in sharing data across labs, as well as to a central role for theorists in neuroscience research.

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Year:  2014        PMID: 25349909      PMCID: PMC4224030          DOI: 10.1038/nn.3839

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


  6 in total

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2.  Decoding ventromedial hypothalamic neural activity during male mouse aggression.

Authors:  Annegret L Falkner; Piotr Dollar; Pietro Perona; David J Anderson; Dayu Lin
Journal:  J Neurosci       Date:  2014-04-23       Impact factor: 6.167

Review 3.  Perspectives on cognitive neuroscience.

Authors:  P S Churchland; T J Sejnowski
Journal:  Science       Date:  1988-11-04       Impact factor: 47.728

4.  Discovery of brainwide neural-behavioral maps via multiscale unsupervised structure learning.

Authors:  Joshua T Vogelstein; Youngser Park; Tomoko Ohyama; Rex A Kerr; James W Truman; Carey E Priebe; Marta Zlatic
Journal:  Science       Date:  2014-03-27       Impact factor: 47.728

5.  Network anatomy and in vivo physiology of visual cortical neurons.

Authors:  Davi D Bock; Wei-Chung Allen Lee; Aaron M Kerlin; Mark L Andermann; Greg Hood; Arthur W Wetzel; Sergey Yurgenson; Edward R Soucy; Hyon Suk Kim; R Clay Reid
Journal:  Nature       Date:  2011-03-10       Impact factor: 49.962

6.  Automated monitoring and analysis of social behavior in Drosophila.

Authors:  Heiko Dankert; Liming Wang; Eric D Hoopfer; David J Anderson; Pietro Perona
Journal:  Nat Methods       Date:  2009-03-08       Impact factor: 28.547

  6 in total
  72 in total

1.  Neural networks in the future of neuroscience research.

Authors:  Mikail Rubinov
Journal:  Nat Rev Neurosci       Date:  2015-10-21       Impact factor: 34.870

Review 2.  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

3.  Visualization of cortical, subcortical and deep brain neural circuit dynamics during naturalistic mammalian behavior with head-mounted microscopes and chronically implanted lenses.

Authors:  Shanna L Resendez; Josh H Jennings; Randall L Ung; Vijay Mohan K Namboodiri; Zhe Charles Zhou; James M Otis; Hiroshi Nomura; Jenna A McHenry; Oksana Kosyk; Garret D Stuber
Journal:  Nat Protoc       Date:  2016-02-25       Impact factor: 13.491

Review 4.  Neural engineering: the process, applications, and its role in the future of medicine.

Authors:  Evon S Ereifej; Courtney E Shell; Jonathon S Schofield; Hamid Charkhkar; Ivana Cuberovic; Alan D Dorval; Emily L Graczyk; Takashi D Y Kozai; Kevin J Otto; Dustin J Tyler; Cristin G Welle; Alik S Widge; José Zariffa; Chet T Moritz; Dennis J Bourbeau; Paul D Marasco
Journal:  J Neural Eng       Date:  2019-11-12       Impact factor: 5.379

5.  Stimulus-dependent spiking relationships with the EEG.

Authors:  Adam C Snyder; Matthew A Smith
Journal:  J Neurophysiol       Date:  2015-06-24       Impact factor: 2.714

6.  Neuroscience and Brain Science Special Issue begins in the Malaysian Journal of Medical Sciences.

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Journal:  Malays J Med Sci       Date:  2014-12

Review 7.  Cerebral cartography and connectomics.

Authors:  Olaf Sporns
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-05-19       Impact factor: 6.237

8.  Exploring spatiotemporal neural dynamics of the human visual cortex.

Authors:  Ying Yang; Michael J Tarr; Robert E Kass; Elissa M Aminoff
Journal:  Hum Brain Mapp       Date:  2019-06-23       Impact factor: 5.038

9.  Unsupervised discovery of temporal sequences in high-dimensional datasets, with applications to neuroscience.

Authors:  Emily L Mackevicius; Andrew H Bahle; Alex H Williams; Shijie Gu; Natalia I Denisenko; Mark S Goldman; Michale S Fee
Journal:  Elife       Date:  2019-02-05       Impact factor: 8.140

Review 10.  Towards the automatic classification of neurons.

Authors:  Rubén Armañanzas; Giorgio A Ascoli
Journal:  Trends Neurosci       Date:  2015-03-09       Impact factor: 13.837

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