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Labeling and identifying cell-specific proteomes in the mouse brain
Labeling and identifying cell-specific proteomes in the mouse brain
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Labeling and identifying cell-specific proteomes in the mouse brain

Nature biotechnology, 2018-02, Vol.36 (2), p.156-159 [Peer Reviewed Journal]

COPYRIGHT 2018 Nature Publishing Group ;COPYRIGHT 2018 Nature Publishing Group ;Copyright Nature Publishing Group Feb 2018 ;ISSN: 1087-0156 ;EISSN: 1546-1696 ;DOI: 10.1038/nbt.4056 ;PMID: 29251727

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2
Perceptual coupling and decoupling of the default mode network during mind-wandering and reading
Perceptual coupling and decoupling of the default mode network during mind-wandering and reading
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Perceptual coupling and decoupling of the default mode network during mind-wandering and reading

eLife, 2022-03, Vol.11 [Peer Reviewed Journal]

2022, Zhang et al. ;COPYRIGHT 2022 eLife Science Publications, Ltd. ;2022, Zhang et al. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Attribution ;2022, Zhang et al 2022 Zhang et al ;ISSN: 2050-084X ;EISSN: 2050-084X ;DOI: 10.7554/eLife.74011 ;PMID: 35311643

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3
Ensemble dynamics and information flow deduction from whole-brain imaging data
Ensemble dynamics and information flow deduction from whole-brain imaging data
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Ensemble dynamics and information flow deduction from whole-brain imaging data

PLoS computational biology, 2024-03, Vol.20 (3), p.e1011848-e1011848 [Peer Reviewed Journal]

Copyright: © 2024 Toyoshima et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ;COPYRIGHT 2024 Public Library of Science ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1011848 ;PMID: 38489379

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4
Where's the Noise? Key Features of Spontaneous Activity and Neural Variability Arise through Learning in a Deterministic Network
Where's the Noise? Key Features of Spontaneous Activity and Neural Variability Arise through Learning in a Deterministic Network
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Where's the Noise? Key Features of Spontaneous Activity and Neural Variability Arise through Learning in a Deterministic Network

PLoS computational biology, 2015-12, Vol.11 (12), p.e1004640-e1004640 [Peer Reviewed Journal]

COPYRIGHT 2015 Public Library of Science ;COPYRIGHT 2015 Public Library of Science ;2015 Hartmann et al 2015 Hartmann et al ;2015 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Hartmann C, Lazar A, Nessler B, Triesch J (2015) Where's the Noise? Key Features of Spontaneous Activity and Neural Variability Arise through Learning in a Deterministic Network. PLoS Comput Biol 11(12): e1004640. doi:10.1371/journal.pcbi.1004640 ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1004640 ;PMID: 26714277

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5
Manipulating critical period closure across different sectors of the primary auditory cortex
Manipulating critical period closure across different sectors of the primary auditory cortex
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Manipulating critical period closure across different sectors of the primary auditory cortex

Nature neuroscience, 2008-08, Vol.11 (8), p.957-965 [Peer Reviewed Journal]

COPYRIGHT 2008 Nature Publishing Group ;Copyright Nature Publishing Group Aug 2008 ;2008 Nature Publishing Group 2008 ;ISSN: 1097-6256 ;EISSN: 1546-1726 ;DOI: 10.1038/nn.2144 ;PMID: 18604205 ;CODEN: NANEFN

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6
A Three-Stage Teacher, Student Neural Networks and Sequential Feed Forward Selection-Based Feature Selection Approach for the Classification of Autism Spectrum Disorder
A Three-Stage Teacher, Student Neural Networks and Sequential Feed Forward Selection-Based Feature Selection Approach for the Classification of Autism Spectrum Disorder
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A Three-Stage Teacher, Student Neural Networks and Sequential Feed Forward Selection-Based Feature Selection Approach for the Classification of Autism Spectrum Disorder

Brain sciences, 2020-10, Vol.10 (10), p.1 [Peer Reviewed Journal]

COPYRIGHT 2020 MDPI AG ;ISSN: 2076-3425 ;EISSN: 2076-3425 ;DOI: 10.3390/brainscil0100754

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7
Automatic Adaptation to Fast Input Changes in a Time-Invariant Neural Circuit
Automatic Adaptation to Fast Input Changes in a Time-Invariant Neural Circuit
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Automatic Adaptation to Fast Input Changes in a Time-Invariant Neural Circuit

PLoS computational biology, 2015-08, Vol.11 (8), p.e1004315-e1004315 [Peer Reviewed Journal]

COPYRIGHT 2015 Public Library of Science ;COPYRIGHT 2015 Public Library of Science ;2015 Bharioke, Chklovskii 2015 Bharioke, Chklovskii ;2015 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Bharioke A, Chklovskii DB (2015) Automatic Adaptation to Fast Input Changes in a Time-Invariant Neural Circuit. PLoS Comput Biol 11(8): e1004315. doi:10.1371/journal.pcbi.1004315 ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1004315 ;PMID: 26247884

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