Literature DB >> 30877963

Towards the neural population doctrine.

Shreya Saxena1, John P Cunningham2.   

Abstract

Across neuroscience, large-scale data recording and population-level analysis methods have experienced explosive growth. While the underlying hardware and computational techniques have been well reviewed, we focus here on the novel science that these technologies have enabled. We detail four areas of the field where the joint analysis of neural populations has significantly furthered our understanding of computation in the brain: correlated variability, decoding, neural dynamics, and artificial neural networks. Together, these findings suggest an exciting trend towards a new era where neural populations are understood to be the essential unit of computation in many brain regions, a classic idea that has been given new life.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2019        PMID: 30877963     DOI: 10.1016/j.conb.2019.02.002

Source DB:  PubMed          Journal:  Curr Opin Neurobiol        ISSN: 0959-4388            Impact factor:   6.627


  39 in total

1.  A Distributed Neural Code in the Dentate Gyrus and in CA1.

Authors:  Fabio Stefanini; Lyudmila Kushnir; Jessica C Jimenez; Joshua H Jennings; Nicholas I Woods; Garret D Stuber; Mazen A Kheirbek; René Hen; Stefano Fusi
Journal:  Neuron       Date:  2020-06-09       Impact factor: 17.173

Review 2.  Two views on the cognitive brain.

Authors:  David L Barack; John W Krakauer
Journal:  Nat Rev Neurosci       Date:  2021-04-15       Impact factor: 34.870

Review 3.  Computation Through Neural Population Dynamics.

Authors:  Saurabh Vyas; Matthew D Golub; David Sussillo; Krishna V Shenoy
Journal:  Annu Rev Neurosci       Date:  2020-07-08       Impact factor: 12.449

Review 4.  If deep learning is the answer, what is the question?

Authors:  Andrew Saxe; Stephanie Nelli; Christopher Summerfield
Journal:  Nat Rev Neurosci       Date:  2020-11-16       Impact factor: 34.870

5.  Distributed processing of movement signaling.

Authors:  Scott D Kennedy; Andrew B Schwartz
Journal:  Proc Natl Acad Sci U S A       Date:  2019-12-23       Impact factor: 11.205

Review 6.  Discovering the Computational Relevance of Brain Network Organization.

Authors:  Takuya Ito; Luke Hearne; Ravi Mill; Carrisa Cocuzza; Michael W Cole
Journal:  Trends Cogn Sci       Date:  2019-11-11       Impact factor: 20.229

Review 7.  Priority coding in the visual system.

Authors:  Nicole C Rust; Marlene R Cohen
Journal:  Nat Rev Neurosci       Date:  2022-04-11       Impact factor: 34.870

8.  Geodesic-based distance reveals nonlinear topological features in neural activity from mouse visual cortex.

Authors:  Kosio Beshkov; Paul Tiesinga
Journal:  Biol Cybern       Date:  2021-11-23       Impact factor: 2.086

9.  Neural ensemble dynamics in dorsal motor cortex during speech in people with paralysis.

Authors:  Krishna V Shenoy; Jaimie M Henderson; Sergey D Stavisky; Francis R Willett; Guy H Wilson; Brian A Murphy; Paymon Rezaii; Donald T Avansino; William D Memberg; Jonathan P Miller; Robert F Kirsch; Leigh R Hochberg; A Bolu Ajiboye; Shaul Druckmann
Journal:  Elife       Date:  2019-12-10       Impact factor: 8.140

10.  Cortical Observation by Synchronous Multifocal Optical Sampling Reveals Widespread Population Encoding of Actions.

Authors:  Isaac V Kauvar; Timothy A Machado; Elle Yuen; John Kochalka; Minseung Choi; William E Allen; Gordon Wetzstein; Karl Deisseroth
Journal:  Neuron       Date:  2020-05-19       Impact factor: 17.173

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