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Arash Ahmadi

As seen in: BBC, Nature, Frontiers, MDPI, Physical Review B, Asia - Pacific Journal of Business Administration
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Articles

Controlled displacement of stored light at room temperature

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By Arash Ahmadi, Institut für Physik, Humboldt-Universität zu Berlin, Yağız Murat
| Physical Review B
Opens in a new window Opens an external website Opens an external website in a new window This website utilizes technologies such as cookies to enable essential site functionality, as well as for analytics, personalization, and targeted advertising. To learn more, view the following link: Privacy Policy It is not necessary to obtain permission to reuse this article or its components as it is available under the terms of the Creative Commons Attribution 4.0 International license.
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Realization of Modified Electrical Equivalent of Memristor-Based Pavlov’s Associative Learning to Avoid Training Fallacies

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By Ankit N. Mehta, Arash Ahmadi, Majid Ahmadi
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Frontiers | Examining electroencephalogram signatures of people with multiple sclerosis using a nonlinear dynamics approach: a systematic review and bibliographic analysis

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By Christopher Ivan, Arash Ahmadi, Georgios N. Dimitrakopoulos, Maxim V. Churyukanov
| Frontiers
Christopher Ivan Hernandez*†, Shaida Kargarnovin†, Sara Hejazi and Waldemar Karwowski Computational Neuroergonomics Laboratory, Department of Industrial Engineering and Management Systems, University of Central Florida, Orlando, FL, United States Background: Considering that brain activity involves communication between millions of neurons in a complex network, nonlinear analysis is a viable tool for studying electroencephalography (EEG).
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