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1
Individual differences in working memory impact the trajectory of non-native speech category learning
Individual differences in working memory impact the trajectory of non-native speech category learning
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Individual differences in working memory impact the trajectory of non-native speech category learning

PloS one, 2024-06, Vol.19 (6), p.e0297917-e0297917 [Peer Reviewed Journal]

COPYRIGHT 2024 Public Library of Science ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0297917

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2
Short-Term Load Forecasting Using EMD-LSTM Neural Networks with a Xgboost Algorithm for Feature Importance Evaluation
Short-Term Load Forecasting Using EMD-LSTM Neural Networks with a Xgboost Algorithm for Feature Importance Evaluation
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Short-Term Load Forecasting Using EMD-LSTM Neural Networks with a Xgboost Algorithm for Feature Importance Evaluation

Energies (Basel), 2017-08, Vol.10 (8), p.1168 [Peer Reviewed Journal]

Copyright MDPI AG 2017 ;ISSN: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en10081168

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3
Language Identification in Short Utterances Using Long Short-Term Memory (LSTM) Recurrent Neural Networks
Language Identification in Short Utterances Using Long Short-Term Memory (LSTM) Recurrent Neural Networks
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Language Identification in Short Utterances Using Long Short-Term Memory (LSTM) Recurrent Neural Networks

PloS one, 2016-01, Vol.11 (1), p.e0146917-e0146917 [Peer Reviewed Journal]

COPYRIGHT 2016 Public Library of Science ;2016 Zazo et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2016 Zazo et al 2016 Zazo et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0146917 ;PMID: 26824467

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4
Readmission prediction using deep learning on electronic health records
Readmission prediction using deep learning on electronic health records
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Readmission prediction using deep learning on electronic health records

Journal of biomedical informatics, 2019-09, Vol.97 [Peer Reviewed Journal]

ISSN: 1532-0464 ;ISSN: 1532-0480 ;EISSN: 1532-0480 ;DOI: 10.1016/j.jbi.2019.103256

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5
Thalamic functions in distributed cognitive control
Thalamic functions in distributed cognitive control
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Thalamic functions in distributed cognitive control

Nature neuroscience, 2017-12, Vol.20 (12), p.1669-1679 [Peer Reviewed Journal]

COPYRIGHT 2017 Nature Publishing Group ;COPYRIGHT 2017 Nature Publishing Group ;Copyright Nature Publishing Group Dec 2017 ;ISSN: 1097-6256 ;EISSN: 1546-1726 ;DOI: 10.1038/s41593-017-0020-1 ;PMID: 29184210

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6
Task representations in neural networks trained to perform many cognitive tasks
Task representations in neural networks trained to perform many cognitive tasks
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Task representations in neural networks trained to perform many cognitive tasks

Nature neuroscience, 2019-02, Vol.22 (2), p.297-306 [Peer Reviewed Journal]

COPYRIGHT 2019 Nature Publishing Group ;COPYRIGHT 2019 Nature Publishing Group ;2019© The Author(s), under exclusive licence to Springer Nature America, Inc. 2019 ;ISSN: 1097-6256 ;EISSN: 1546-1726 ;DOI: 10.1038/s41593-018-0310-2 ;PMID: 30643294

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7
Multi‐layered attentional peephole convolutional LSTM for abstractive text summarization
Multi‐layered attentional peephole convolutional LSTM for abstractive text summarization
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Multi‐layered attentional peephole convolutional LSTM for abstractive text summarization

ETRI Journal, 2021, 43(2), , pp.288-298 [Peer Reviewed Journal]

2020 ETRI ;ISSN: 1225-6463 ;EISSN: 2233-7326 ;DOI: 10.4218/etrij.2019-0016

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8
Posterior parietal cortex represents sensory history and mediates its effects on behaviour
Posterior parietal cortex represents sensory history and mediates its effects on behaviour
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Posterior parietal cortex represents sensory history and mediates its effects on behaviour

Nature (London), 2018-02, Vol.554 (7692), p.368-372 [Peer Reviewed Journal]

COPYRIGHT 2018 Nature Publishing Group ;COPYRIGHT 2018 Nature Publishing Group ;Copyright Nature Publishing Group Feb 15, 2018 ;ISSN: 0028-0836 ;EISSN: 1476-4687 ;DOI: 10.1038/nature25510 ;PMID: 29414944

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9
Working memory revived in older adults by synchronizing rhythmic brain circuits
Working memory revived in older adults by synchronizing rhythmic brain circuits
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Working memory revived in older adults by synchronizing rhythmic brain circuits

Nature neuroscience, 2019-05, Vol.22 (5), p.820-827 [Peer Reviewed Journal]

COPYRIGHT 2019 Nature Publishing Group ;The Author(s), under exclusive licence to Springer Nature America, Inc. 2019. ;ISSN: 1097-6256 ;EISSN: 1546-1726 ;DOI: 10.1038/s41593-019-0371-x ;PMID: 30962628

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10
Dynamic hidden states underlying working-memory-guided behavior
Dynamic hidden states underlying working-memory-guided behavior
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Dynamic hidden states underlying working-memory-guided behavior

Nature neuroscience, 2017-06, Vol.20 (6), p.864-871 [Peer Reviewed Journal]

COPYRIGHT 2017 Nature Publishing Group ;COPYRIGHT 2017 Nature Publishing Group ;Copyright Nature Publishing Group Jun 2017 ;ISSN: 1097-6256 ;EISSN: 1546-1726 ;DOI: 10.1038/nn.4546 ;PMID: 28414333

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11
Publisher Correction: The effect of attention and working memory on the estimation of elapsed time
Publisher Correction: The effect of attention and working memory on the estimation of elapsed time
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Publisher Correction: The effect of attention and working memory on the estimation of elapsed time

Scientific reports, 2019-11, Vol.9 (1), p.1-1, Article 17265 [Peer Reviewed Journal]

2019. This work is published under http://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. ;The Author(s) 2019 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-019-53224-z ;PMID: 31740680

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12
A novel wavelet sequence based on deep bidirectional LSTM network model for ECG signal classification
A novel wavelet sequence based on deep bidirectional LSTM network model for ECG signal classification
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A novel wavelet sequence based on deep bidirectional LSTM network model for ECG signal classification

Computers in biology and medicine, 2018-05, Vol.96, p.189-202 [Peer Reviewed Journal]

2018 Elsevier Ltd ;Copyright © 2018 Elsevier Ltd. All rights reserved. ;Copyright Elsevier Limited May 1, 2018 ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2018.03.016 ;PMID: 29614430

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13
Cancer Diagnosis Using Deep Learning: A Bibliographic Review
Cancer Diagnosis Using Deep Learning: A Bibliographic Review
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Cancer Diagnosis Using Deep Learning: A Bibliographic Review

Cancers, 2019-08, Vol.11 (9), p.1235 [Peer Reviewed Journal]

2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2019 by the authors. 2019 ;ISSN: 2072-6694 ;EISSN: 2072-6694 ;DOI: 10.3390/cancers11091235 ;PMID: 31450799

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14
Circuit mechanisms for the maintenance and manipulation of information in working memory
Circuit mechanisms for the maintenance and manipulation of information in working memory
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Circuit mechanisms for the maintenance and manipulation of information in working memory

Nature neuroscience, 2019-07, Vol.22 (7), p.1159-1167 [Peer Reviewed Journal]

COPYRIGHT 2019 Nature Publishing Group ;The Author(s), under exclusive licence to Springer Nature America, Inc. 2019. ;ISSN: 1097-6256 ;EISSN: 1546-1726 ;DOI: 10.1038/s41593-019-0414-3 ;PMID: 31182866

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15
Correction: Stochastic Mesocortical Dynamics and Robustness of Working Memory during Delay-Period
Correction: Stochastic Mesocortical Dynamics and Robustness of Working Memory during Delay-Period
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Correction: Stochastic Mesocortical Dynamics and Robustness of Working Memory during Delay-Period

PloS one, 2018-10, Vol.13 (10), p.e0205615-e0205615 [Peer Reviewed Journal]

COPYRIGHT 2018 Public Library of Science ;COPYRIGHT 2018 Public Library of Science ;2018 Reneaux et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2018 Reneaux et al 2018 Reneaux et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0205615 ;PMID: 30286193

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16
Improved Long Short-Term Memory-Based Periodic Traffic Volume Prediction Method
Improved Long Short-Term Memory-Based Periodic Traffic Volume Prediction Method
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Improved Long Short-Term Memory-Based Periodic Traffic Volume Prediction Method

IEEE access, 2023-01, Vol.11, p.1-1 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2023 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2023.3305398 ;CODEN: IAECCG

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17
When Load is Low, Working Memory is Shielded From Long-Term Memory's Influence
When Load is Low, Working Memory is Shielded From Long-Term Memory's Influence
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When Load is Low, Working Memory is Shielded From Long-Term Memory's Influence

Journal of cognition, 2024-05, Vol.7 (1), p.44-44 [Peer Reviewed Journal]

Copyright: © 2024 The Author(s). ;Copyright: © 2024 The Author(s) 2024 ;EISSN: 2514-4820 ;DOI: 10.5334/joc.368 ;PMID: 38765759

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18
Mixed selectivity morphs population codes in prefrontal cortex
Mixed selectivity morphs population codes in prefrontal cortex
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Mixed selectivity morphs population codes in prefrontal cortex

Nature neuroscience, 2017-12, Vol.20 (12), p.1770-1779 [Peer Reviewed Journal]

COPYRIGHT 2017 Nature Publishing Group ;COPYRIGHT 2017 Nature Publishing Group ;Copyright Nature Publishing Group Dec 2017 ;ISSN: 1097-6256 ;EISSN: 1546-1726 ;DOI: 10.1038/s41593-017-0003-2 ;PMID: 29184197

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19
Optimal Deep Learning LSTM Model for Electric Load Forecasting using Feature Selection and Genetic Algorithm: Comparison with Machine Learning Approaches
Optimal Deep Learning LSTM Model for Electric Load Forecasting using Feature Selection and Genetic Algorithm: Comparison with Machine Learning Approaches
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Optimal Deep Learning LSTM Model for Electric Load Forecasting using Feature Selection and Genetic Algorithm: Comparison with Machine Learning Approaches

Energies (Basel), 2018, Vol.11 (7), p.1636 [Peer Reviewed Journal]

2018. This work is licensed 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. ;ISSN: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en11071636

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20
Thalamic projections sustain prefrontal activity during working memory maintenance
Thalamic projections sustain prefrontal activity during working memory maintenance
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Thalamic projections sustain prefrontal activity during working memory maintenance

Nature neuroscience, 2017-07, Vol.20 (7), p.987-996 [Peer Reviewed Journal]

COPYRIGHT 2017 Nature Publishing Group ;COPYRIGHT 2017 Nature Publishing Group ;Copyright Nature Publishing Group Jul 2017 ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1097-6256 ;EISSN: 1546-1726 ;DOI: 10.1038/nn.4568 ;PMID: 28481349

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