Literature DB >> 26906500

Conceptual and technical advances define a key moment for theoretical neuroscience.

Anne K Churchland1, L F Abbott2.   

Abstract

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Year:  2016        PMID： 26906500      PMCID： PMC5558605          DOI： 10.1038/nn.4255

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


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  18 in total

Review 1.  The mechanics of state-dependent neural correlations.

Authors:  Brent Doiron; Ashok Litwin-Kumar; Robert Rosenbaum; Gabriel K Ocker; Krešimir Josić
Journal:  Nat Neurosci       Date:  2016-03       Impact factor: 24.884

Review 2.  Building functional networks of spiking model neurons.

Authors:  L F Abbott; Brian DePasquale; Raoul-Martin Memmesheimer
Journal:  Nat Neurosci       Date:  2016-03       Impact factor: 24.884

3.  Confidence and certainty: distinct probabilistic quantities for different goals.

Authors:  Alexandre Pouget; Jan Drugowitsch; Adam Kepecs
Journal:  Nat Neurosci       Date:  2016-03       Impact factor: 24.884

Review 4.  Computational psychiatry as a bridge from neuroscience to clinical applications.

Authors:  Quentin J M Huys; Tiago V Maia; Michael J Frank
Journal:  Nat Neurosci       Date:  2016-03       Impact factor: 24.884

5.  Global brain dynamics embed the motor command sequence of Caenorhabditis elegans.

Authors:  Saul Kato; Harris S Kaplan; Tina Schrödel; Susanne Skora; Theodore H Lindsay; Eviatar Yemini; Shawn Lockery; Manuel Zimmer
Journal:  Cell       Date:  2015-10-17       Impact factor: 41.582

6.  Signals in inferotemporal and perirhinal cortex suggest an untangling of visual target information.

Authors:  Marino Pagan; Luke S Urban; Margot P Wohl; Nicole C Rust
Journal:  Nat Neurosci       Date:  2013-06-23       Impact factor: 24.884

7.  A diversity of localized timescales in network activity.

Authors:  Rishidev Chaudhuri; Alberto Bernacchia; Xiao-Jing Wang
Journal:  Elife       Date:  2014-01-21       Impact factor: 8.140

8.  A category-free neural population supports evolving demands during decision-making.

Authors:  David Raposo; Matthew T Kaufman; Anne K Churchland
Journal:  Nat Neurosci       Date:  2014-11-10       Impact factor: 24.884

9.  Adult mouse cortical cell taxonomy revealed by single cell transcriptomics.

Authors:  Bosiljka Tasic; Vilas Menon; Thuc Nghi Nguyen; Tae Kyung Kim; Tim Jarsky; Zizhen Yao; Boaz Levi; Lucas T Gray; Staci A Sorensen; Tim Dolbeare; Darren Bertagnolli; Jeff Goldy; Nadiya Shapovalova; Sheana Parry; Changkyu Lee; Kimberly Smith; Amy Bernard; Linda Madisen; Susan M Sunkin; Michael Hawrylycz; Christof Koch; Hongkui Zeng
Journal:  Nat Neurosci       Date:  2016-01-04       Impact factor: 24.884

10.  Serotonin and the neuropeptide PDF initiate and extend opposing behavioral states in C. elegans.

Authors:  Steven W Flavell; Navin Pokala; Evan Z Macosko; Dirk R Albrecht; Johannes Larsch; Cornelia I Bargmann
Journal:  Cell       Date:  2013-08-22       Impact factor: 41.582
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  8 in total

Review 1.  How neuroscience can inform the study of individual differences in cognitive abilities.

Authors:  Dennis J McFarland
Journal:  Rev Neurosci       Date:  2017-05-24       Impact factor: 4.353

2.  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

3.  An application of neighbourhoods in digraphs to the classification of binary dynamics.

Authors:  Pedro Conceição; Dejan Govc; Jānis Lazovskis; Ran Levi; Henri Riihimäki; Jason P Smith
Journal:  Netw Neurosci       Date:  2022-06-01

Review 4.  Large-scale neural recordings call for new insights to link brain and behavior.

Authors:  Anne E Urai; Brent Doiron; Andrew M Leifer; Anne K Churchland
Journal:  Nat Neurosci       Date:  2022-01-03       Impact factor: 28.771

Review 5.  Perceptual Decision-Making: A Field in the Midst of a Transformation.

Authors:  Farzaneh Najafi; Anne K Churchland
Journal:  Neuron       Date:  2018-10-24       Impact factor: 17.173

6.  Computational models of O-LM cells are recruited by low or high theta frequency inputs depending on h-channel distributions.

Authors:  Vladislav Sekulić; Frances K Skinner
Journal:  Elife       Date:  2017-03-20       Impact factor: 8.140

7.  NetPyNE, a tool for data-driven multiscale modeling of brain circuits.

Authors:  Salvador Dura-Bernal; Benjamin A Suter; Padraig Gleeson; Matteo Cantarelli; Adrian Quintana; Facundo Rodriguez; David J Kedziora; George L Chadderdon; Cliff C Kerr; Samuel A Neymotin; Robert A McDougal; Michael Hines; Gordon Mg Shepherd; William W Lytton
Journal:  Elife       Date:  2019-04-26       Impact factor: 8.140

8.  A Single-Cell Level and Connectome-Derived Computational Model of the Drosophila Brain.

Authors:  Yu-Chi Huang; Cheng-Te Wang; Ta-Shun Su; Kuo-Wei Kao; Yen-Jen Lin; Chao-Chun Chuang; Ann-Shyn Chiang; Chung-Chuan Lo
Journal:  Front Neuroinform       Date:  2019-01-10       Impact factor: 4.081
  8 in total

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