Literature DB >> 26486186

Neural networks in the future of neuroscience research.

Mikail Rubinov1.   

Abstract

Mesh：

Year:  2015        PMID： 26486186     DOI： 10.1038/nrn4042

Source DB:  PubMed          Journal:  Nat Rev Neurosci        ISSN： 1471-003X            Impact factor:   34.870


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  9 in total

1.  Brain-wide neuronal dynamics during motor adaptation in zebrafish.

Authors:  Misha B Ahrens; Jennifer M Li; Michael B Orger; Drew N Robson; Alexander F Schier; Florian Engert; Ruben Portugues
Journal:  Nature       Date:  2012-05-09       Impact factor: 49.962

2.  Connectomic reconstruction of the inner plexiform layer in the mouse retina.

Authors:  Moritz Helmstaedter; Kevin L Briggman; Srinivas C Turaga; Viren Jain; H Sebastian Seung; Winfried Denk
Journal:  Nature       Date:  2013-08-08       Impact factor: 49.962

Review 3.  Deep learning.

Authors:  Yann LeCun; Yoshua Bengio; Geoffrey Hinton
Journal:  Nature       Date:  2015-05-28       Impact factor: 49.962

Review 4.  From the neuron doctrine to neural networks.

Authors:  Rafael Yuste
Journal:  Nat Rev Neurosci       Date:  2015-07-08       Impact factor: 34.870

5.  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

6.  A mesoscale connectome of the mouse brain.

Authors:  Seung Wook Oh; Julie A Harris; Lydia Ng; Brent Winslow; Nicholas Cain; Stefan Mihalas; Quanxin Wang; Chris Lau; Leonard Kuan; Alex M Henry; Marty T Mortrud; Benjamin Ouellette; Thuc Nghi Nguyen; Staci A Sorensen; Clifford R Slaughterbeck; Wayne Wakeman; Yang Li; David Feng; Anh Ho; Eric Nicholas; Karla E Hirokawa; Phillip Bohn; Kevin M Joines; Hanchuan Peng; Michael J Hawrylycz; John W Phillips; John G Hohmann; Paul Wohnoutka; Charles R Gerfen; Christof Koch; Amy Bernard; Chinh Dang; Allan R Jones; Hongkui Zeng
Journal:  Nature       Date:  2014-04-02       Impact factor: 49.962

7.  Here is the evidence, now what is the hypothesis? The complementary roles of inductive and hypothesis-driven science in the post-genomic era.

Authors:  Douglas B Kell; Stephen G Oliver
Journal:  Bioessays       Date:  2004-01       Impact factor: 4.345

Review 8.  Putting big data to good use in neuroscience.

Authors:  Terrence J Sejnowski; Patricia S Churchland; J Anthony Movshon
Journal:  Nat Neurosci       Date:  2014-11       Impact factor: 24.884

Review 9.  Nanotools for neuroscience and brain activity mapping.

Authors:  A Paul Alivisatos; Anne M Andrews; Edward S Boyden; Miyoung Chun; George M Church; Karl Deisseroth; John P Donoghue; Scott E Fraser; Jennifer Lippincott-Schwartz; Loren L Looger; Sotiris Masmanidis; Paul L McEuen; Arto V Nurmikko; Hongkun Park; Darcy S Peterka; Clay Reid; Michael L Roukes; Axel Scherer; Mark Schnitzer; Terrence J Sejnowski; Kenneth L Shepard; Doris Tsao; Gina Turrigiano; Paul S Weiss; Chris Xu; Rafael Yuste; Xiaowei Zhuang
Journal:  ACS Nano       Date:  2013-03-20       Impact factor: 15.881
  9 in total
  2 in total

1.  On testing neural network models.

Authors:  Rafael Yuste
Journal:  Nat Rev Neurosci       Date:  2015-10-21       Impact factor: 34.870

2.  Deep learning-Using machine learning to study biological vision.

Authors:  Najib J Majaj; Denis G Pelli
Journal:  J Vis       Date:  2018-12-03       Impact factor: 2.240
  2 in total

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