Author

Rakib Al-Fahad

University of MemphisORCID 0000-0002-0124-7254Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:electronic health records· 3 Organism:human· 3 Research Focus:cell type annotation· 2 Approach:machine learning (classical)· 2 Approach:Bayesian inference· 1 Research Focus:cell-cell communication· 1

Frequent Co-Authors

Gavin M. BidelmaniD· 3 shared Mohammed YeasiniD· 3 shared Kazi Ashraf MoinuddiniD· 2 shared Felix HavugimanaiD· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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3 shared papersNeuroscience

Gavin M. BidelmanORCID

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3 papers

Recent·Most cited

Unraveling Spatial-Spectral Dynamics of Speech Categorization Speed using Convolutional Neural Network

Kazi Ashraf Moinuddin, Felix Havugimana, Rakib Al-Fahad, Gavin M. Bidelman, Mohammed Yeasin

The paper uses a convolutional neural network to decode brain regions and frequency bands associated with response time variation in speech categorization tasks.

Brain Sciences · Dec 30, 2022Peer-reviewedNeuroscience

Micro-state-based neural decoding of speech categorization using Bayesian non-parametrics

Rakib Al-Fahad, Mohammed Yeasin, Kazi Ashraf Moinuddin, Gavin M. Bidelman

This paper uses Bayesian non-parametrics to decode speech categorization by analyzing EEG microstates and their relationship to response times.

bioRxiv · Nov 17, 2021 · PreprintNeuroscience

Unsupervised decoding of single-trial EEG reveals unique states of functional brain connectivity that drive rapid speech categorization decisions

Rakib Al-Fahad, Mohammed Yeasin, Gavin M. Bidelman

This study uses EEG and computational methods to identify brain connectivity states that predict speech categorization decision speed, finding strong correlations between neural patterns and response times.

Journal of Neural Engineering · Dec 11, 2019Peer-reviewedNeuroscience