Tapan Kumar Gandhi

A Simple Subject Independent Channel Selection in EEG for Motor Imagery Task

This paper introduces a subject-independent EEG channel selection method for motor imagery tasks, showing improved performance over existing methods with fewer channels.

Classification of Smartphone Interaction Using Multimodal Physiological Signals with a Brain-Body Spatio-Temporal Transformer

This paper introduces BB-STT, a deep learning framework that classifies smartphone interaction behaviors using multimodal physiological signals, achieving high accuracy in distinguishing between different activities.

A multimodal dataset of EEG, eye-tracking, and physiological signals during naturalistic smartphone interactions

The paper presents a multimodal dataset of EEG, eye-tracking, and physiological signals during smartphone interactions and relaxation, enabling analysis of neural and autonomic responses.

Personalized smartphone notifications bias auditory salience across processing stages

This study examines how personalized smartphone notifications affect neural responses across processing stages, finding that they engage robust early salience detection while habitual use affects later attentional and evaluative processing.

Multimodal Imaging and Logistic Weighted Cognitive Scores for Classification of MCI, AD, and FTD Subtypes

The paper develops a multimodal classification approach combining neuroimaging and cognitive scores to differentiate between MCI, AD, and FTD subtypes, achieving varying levels of accuracy.

Neural Oscillations during Perceptual Grouping: Insights from Alpha and Theta Bands in Visual Perception Tasks

This study analyzes EEG data to investigate how alpha and theta band neural oscillations contribute to perceptual grouping during visual perception tasks.

Neural Correlates of Perceptual Grouping in Brain

The paper investigates neural correlates of perceptual grouping using EEG, finding early cortical differences in responses to structured versus unstructured visual stimuli.

Distinct rich and diverse clubs regulate coarse and fine binocular disparity processing: Evidence from stereoscopic task-based fMRI

This study uses fMRI to investigate how rich and diverse brain network clubs regulate coarse and fine binocular disparity processing across different disparity magnitudes.

Assessing functional connectivity differences and work-related fatigue in surviving COVID-negative patients.

This study assesses brain functional connectivity and work-related fatigue in PCR-negative COVID-19 survivors compared to healthy controls using resting-state fMRI.

Prediction of Epileptic Seizures based on Mean Phase Coherence

This study presents a real-time technique using Mean Phase Coherence to predict epileptic seizures with a prediction horizon of 4-10 minutes, achieving success in 8 out of 10 test cases.