Author

Sayan Ghosh

Indian Institute of Technology MadrasORCID 0000-0001-8758-7657Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:electrophysiology· 2 Research Focus:synaptic & neural circuits· 1

Frequent Co-Authors

Dheemanth Chakravathi· 1 shared J. Gowthami· 1 shared N. Maheedhar Sai· 1 shared N. Nikhil Siddharth· 1 shared NR Rohan· 1 shared V. Srinivasa ChakravarthyiD· 1 shared Vigneswaran ChandrasekaraniD· 1 shared

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7 top collaborators · 9 mutual co-author links

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1 shared paperBioengineering

Dheemanth Chakravathi

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2 papers

Recent·Most cited

BioengineeringbioRxivPreprintSep 26, 2025

Spatio Temporal Attentional EEGNet: An Enhanced Deep Learning Model for Cognitive Workload Detection

Sayan Ghosh, N. Nikhil Siddharth, J. Gowthami…·N. Maheedhar Sai

This paper introduces STA-EEGNet, a deep learning model for cognitive workload detection using EEG signals, showing improved accuracy and interpretable insights into neural dynamics.

1 citation

electrophysiologydeep learning

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BioengineeringBiomedical Signal Processing and ControlPeer-reviewedDec 26, 2024

Electroencephalogram (EEG) Classification using a bio-inspired Deep Oscillatory Neural Network

Sayan Ghosh, Vigneswaran Chandrasekaran, NR Rohan, V. Srinivasa Chakravarthy

This paper introduces two oscillatory neural networks for EEG classification and prediction tasks, incorporating brain dynamics through nonlinear oscillators.

13 citations

electrophysiologydeep learning

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