Recent publications · 2024–2026

Research across AI and human neuroscience.

Recent peer-reviewed articles, conference contributions, and preprints spanning multimodal neural decoding, pediatric neuroimaging, sleep, and foundation models.

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  1. 2026

    Covariance-based analysis of spindle-band EEG during declarative and non-declarative odor cueing in sleep

    Jesyin Lai*, Pankaj Pandey*, Andrea Sanchez-Corzo, David M. Baum, Jens G. Klinzing, Ranganatha Sitaram

    Frontiers in Neuroscience · *Equal contribution

    DOI
  2. 2026

    Multimodal analysis of hemodynamic and electrocortical causal interactions during auditory processing

    John McLinden, Neela Rahimi, M. van 't Wout-Frank et al., Pankaj Pandey, Yalda Shahriari

    Journal of Neural Engineering

    DOI
  3. 2026

    Canonical Correlation Approach for Predicting Music Aesthetic Ratings from EEG Sensors

    Pankaj Pandey, Poorva Bedmutha, Nashra Ahmad, Krishna Prasad Miyapuram, Derek Lomas

    IEEE Applied Sensing Conference

    DOI
  4. 2026

    Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI

    Ruthwik Reddy Doodipala*, Pankaj Pandey*, Pratheek Reddy Ernaki et al.

    Preprint · *Equal contribution

    Preprint
  5. 2025

    Sleep, Cognition, and Electrophysiology: Intersecting Pathways in Childhood Cancer

    Andrea Sanchez-Corzo, Zachary Loschinskey, Miguel Navarrete et al., Pankaj Pandey, Ranganatha Sitaram

    Sleep Medicine Reviews, 85, 102205

    DOI
  6. 2025

    Artificial Intelligence for Neuroimaging in Pediatric Cancer

    Josue Luiz Dalboni da Rocha, Jesyin Lai, Pankaj Pandey, Phyu Sin M. Myat et al.

    Cancers, 17(4), 622

    DOI
  7. 2025

    Region-Aware Reconstruction Strategy for Pre-training fMRI Foundation Model

    Ruthwik Reddy Doodipala*, Pankaj Pandey*, Carolina Torres Rojas, Manob Jyoti Saikia, Ranganatha Sitaram

    NeurIPS Workshop: Foundation Models for the Brain and Body · *Equal contribution

    Paper
  8. 2025

    ABSOLUTENET: A Deep Learning Neural Network to Classify Cerebral Hemodynamic Responses of Auditory Processing

    Behtom Adeli, John McLinden, Pankaj Pandey, Ming Shao, Yalda Shahriari

    IEEE MLSP

    DOI
  9. 2025

    Toward Improving fNIRS Classification: A Study on Activation Functions in Deep Neural Architectures

    Behtom Adeli, John McLinden, Pankaj Pandey, Ming Shao, Yalda Shahriari

    IEEE International Conference on Neural Engineering · Abstract

    Preprint
  10. 2024

    fNIRSNET: A Multi-view Spatio-Temporal Convolutional Neural Network Fusion for fNIRS-based Auditory Event Classification

    Pankaj Pandey, John McLinden, Neela Rahimi, Chetan Kumar et al.

    Engineering Applications of Artificial Intelligence, 137, 109256

    DOI
  11. 2024

    Protection Against Person-Identification from EEG Patterns: A Blockchain-based Approach

    Susmita Mondal, Pankaj Pandey, Krishna Prasad Miyapuram, Suchetana Chakraborty

    IEEE BuildSEC

    DOI