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Masoud Geravanchizadeh on Muck Rack

Masoud Geravanchizadeh

As seen in: MDPI, BioRxiv
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Articles

Selective Auditory Attention Detection Using Combined Transformer and Convolutional Graph Neural Networks

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By Masoud Geravanchizadeh, Sebelan Danishvar, Amir Shaygan Asl, Shaygan Asl
| 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.
Open in Who Shared Issue with article?

Auditory attention detection in cocktail-party: A microstate study

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By Hossein Roushan, Sahar Bakhshalipour Gavgani, Masoud Geravanchizadeh
| BioRxiv
Abstract Healthy human brain can easily attend to one auditory stimulus and filter out the other stimuli, described in the terms of "selective auditory attention" or referred to as the cocktail party phenomenon. This paper proposes a new real-time mapping-based selective auditory attention detection (SAAD) system using only EEG signals. In the proposed system, several quasi-stable maps, called EEG microstates, are extracted.
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