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Decoding age-related changes in the spatiotemporal neural processing of speech using machine learning

View ORCID ProfileMd Sultan Mahmud, Faruk Ahmed, Rakib Al-Fahad, Kazi Ashraf Moinuddin, Mohammed Yeasin, Claude Alain, View ORCID ProfileGavin M. Bidelman
doi: https://doi.org/10.1101/786566
Md Sultan Mahmud
1Department of Electrical and Computer Engineering, University of Memphis, TN, USA
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  • For correspondence: mmahmud@memphis.edu
Faruk Ahmed
1Department of Electrical and Computer Engineering, University of Memphis, TN, USA
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Rakib Al-Fahad
1Department of Electrical and Computer Engineering, University of Memphis, TN, USA
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Kazi Ashraf Moinuddin
1Department of Electrical and Computer Engineering, University of Memphis, TN, USA
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Mohammed Yeasin
1Department of Electrical and Computer Engineering, University of Memphis, TN, USA
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Claude Alain
2Rotman Research Institute–Baycrest Centre for Geriatric Care, Toronto, Ontario, Canada
3University of Toronto, Department of Psychology, Toronto, Ontario, Canada
4University of Toronto, Institute of Medical Sciences, Toronto, Ontario, Canada
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Gavin M. Bidelman
5Institute for Intelligent Systems, University of Memphis, Memphis, TN, USA
6School of Communication Sciences & Disorders, University of Memphis, Memphis, TN, USA
7University of Tennessee Health Sciences Center, Department of Anatomy and Neurobiology, Memphis, TN, USA
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Article Information

doi 
https://doi.org/10.1101/786566
History 
  • September 30, 2019.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.

Author Information

  1. Md Sultan Mahmud1,*,
  2. Faruk Ahmed1,
  3. Rakib Al-Fahad1,
  4. Kazi Ashraf Moinuddin1,
  5. Mohammed Yeasin1,
  6. Claude Alain2,3,4 and
  7. Gavin M. Bidelman5,6,7
  1. 1Department of Electrical and Computer Engineering, University of Memphis, TN, USA
  2. 2Rotman Research Institute–Baycrest Centre for Geriatric Care, Toronto, Ontario, Canada
  3. 3University of Toronto, Department of Psychology, Toronto, Ontario, Canada
  4. 4University of Toronto, Institute of Medical Sciences, Toronto, Ontario, Canada
  5. 5Institute for Intelligent Systems, University of Memphis, Memphis, TN, USA
  6. 6School of Communication Sciences & Disorders, University of Memphis, Memphis, TN, USA
  7. 7University of Tennessee Health Sciences Center, Department of Anatomy and Neurobiology, Memphis, TN, USA
  1. ↵*Address for editorial correspondence:
    Md Sultan Mahmud, Department of Electrical and Computer Engineering, University of Memphis, 3815 Central Avenue, Memphis, TN, 38152, EMAIL: mmahmud{at}memphis.edu
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Posted September 30, 2019.
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Decoding age-related changes in the spatiotemporal neural processing of speech using machine learning
Md Sultan Mahmud, Faruk Ahmed, Rakib Al-Fahad, Kazi Ashraf Moinuddin, Mohammed Yeasin, Claude Alain, Gavin M. Bidelman
bioRxiv 786566; doi: https://doi.org/10.1101/786566
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Decoding age-related changes in the spatiotemporal neural processing of speech using machine learning
Md Sultan Mahmud, Faruk Ahmed, Rakib Al-Fahad, Kazi Ashraf Moinuddin, Mohammed Yeasin, Claude Alain, Gavin M. Bidelman
bioRxiv 786566; doi: https://doi.org/10.1101/786566

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