Chunking Phenomenon in Complex Sequential Skill Learning in Humans. - Chandrasekhar V. S. Pammi; Krishna P. Miyapuram; Raju S. Bapi; Kenji Doya (ICONIP, 2004)

Hierarchical Chunking during Learning of Visuomotor Sequences. - Krishna P. Miyapuram; Raju S. Bapi; Chandrasekhar V. S. Pammi; Ahmed; Kenji Doya (IJCNN, 2006)

fMRI investigation of cortical and subcortical networks in the learning of abstract and effector-specific representations of motor sequences. - Raju S. Bapi; Krishna P. Miyapuram; F. X. Graydon; Kenji Doya (NeuroImage, 2006)

Detection of Cognitive States from fMRI Data Using Machine Learning Techniques. - Vishwajeet Singh; Krishna P. Miyapuram; Raju S. Bapi (IJCAI, 2007)

Role of Error Monitoring Mechanisms in Attribution of Sense of Self-Agency. - Neeraj Kumar; Jaison A. Manjaly; Krishna P. Miyapuram (CogSci, 2012)

BOLD responses in reward regions to hypothetical and imaginary monetary rewards. - Krishna P. Miyapuram; Philippe N. Tobler; Lucy Gregorios-Pippas; Wolfram Schultz (NeuroImage, 2012)

Changing the structure of complex visuo-motor sequences selectively activates the fronto-parietal network. - Chandrasekhar V. S. Pammi; Krishna P. Miyapuram; Ahmed; Kazuyuki Samejima; Raju S. Bapi; Kenji Doya (NeuroImage, 2012)

Predicting the imagined contents using brain activation. - Krishna Prasad Miyapuram; Wolfram Schultz; Philippe N. Tobler (NCVPRIPG, 2013)

Inter Subject Correlation of Brain Activity during Visuo-Motor Sequence Learning. - Krishna P. Miyapuram; Ujjval Pamnani; Kenji Doya; Raju S. Bapi (ICONIP (1), 2014)

Influence of Previous Choice and Outcome in a Two-Alternative Decision-Making Task. - Manisha Chawla; Krishna P. Miyapuram (ICONIP (2), 2015)

Comparison of meta-analysis approaches for neuroimaging studies of reward processing: A case study. - Manisha Chawla; Krishna P. Miyapuram (IJCNN, 2015)

Graph Clustering for Large-Scale Text-Mining of Brain Imaging Studies. - Manisha Chawla; Mounika Mesa; Krishna P. Miyapuram (WCI, 2015)

The Effect of Reward Information on Perceptual Decision-Making. - Devu Mahesan; Manisha Chawla; Krishna P. Miyapuram (ICONIP (4), 2016)

Facial Expression Recognition Using Visual Saliency and Deep Learning. - Viraj Mavani; Shanmuganathan Raman; Krishna P. Miyapuram (ICCV Workshops, 2017)

Emotive Stimuli-triggered Participant-based Clustering Using a Novel Split-and-Merge Algorithm. - Surabhi S. Nath; Dyutiman Mukhopadhyay; Krishna P. Miyapuram (COMAD/CODS, 2019)

Characterization of Functional Brain Networks and Emotional Centers Using the Complex Networks Techniques. - Richa Tripathi; Dyutiman Mukhopadhyay; Chakresh Kumar Singh; Krishna Prasad Miyapuram; Shivakumar Jolad (COMPLEX NETWORKS (2), 2019)

DeepPFCN: Deep Parallel Feature Consensus Network For Person Re-Identification. - Shubham Kumar Singh; Krishna P. Miyapuram; Shanmuganathan Raman (CoRR, 2019)

Temporal EEG Neural Activity Predicts Visuo-Spatial Motor Sequence Learning. - Raunak Swarnkar; Krishna P. Miyapuram (ICONIP (5), 2020)

Classifying Oscillatory Signatures of Expert vs NonExpert Meditators. - Pankaj Pandey; Krishna Prasad Miyapuram (IJCNN, 2020)

PsychFM: Predicting your next gamble. - Prakash Rajan; Krishna P. Miyapuram (IJCNN, 2020)

Understanding Consumer Preferences for Movie Trailers from EEG using Machine Learning. - Pankaj Pandey; Raunak Swarnkar; Shobhit Kakaria; Krishna Prasad Miyapuram (CoRR, 2020)

Classifying Songs with EEG. - Prashant Lawhatre; Bharatesh R. Shiraguppi; Esha Sharma; Krishna Prasad Miyapuram; Derek J. Lomas (CoRR, 2020)

Predicting learning stages during the serial reaction time task using event-related potentials. - Ishita Arun; Pankaj Pandey; Goldy Yadav; Krishna Prasad Miyapuram (BIBM, 2021)

Predicting Dominant Beat Frequency from Brain Responses While Listening to Music. - Pankaj Pandey; Nashra Ahmad; Krishna Prasad Miyapuram; Derek J. Lomas (BIBM, 2021)

Nonlinear EEG analysis of mindfulness training using interpretable machine learning. - Pankaj Pandey; Krishna Prasad Miyapuram (BIBM, 2021)

Brain Connectivity Based Classification of Meditation Expertise. - Pankaj Pandey; Pragati Gupta; Krishna Prasad Miyapuram (BI, 2021)

Movie Identification from Electroencephalography Response Using Convolutional Neural Network. - Dhananjay Sonawane; Pankaj Pandey; Dyutiman Mukhopadhyay; Krishna Prasad Miyapuram (BI, 2021)

A Novel Approach Towards Early Detection of Alzheimer's Disease Using Deep Learning on Magnetic Resonance Images. - Kushpal Singh Yadav; Krishna Prasad Miyapuram (BI, 2021)

GuessTheMusic: Song Identification from Electroencephalography response. - Dhananjay Sonawane; Krishna Prasad Miyapuram; Bharatesh RS; Derek J. Lomas (COMAD/CODS, 2021)

BRAIN2DEPTH: Lightweight CNN Model for Classification of Cognitive States from EEG Recordings. - Pankaj Pandey; Krishna Prasad Miyapuram (MIUA, 2021)

Classifying EEG Signals of Mind-Wandering Across Different Styles of Meditation. - Shivam Chaudhary; Pankaj Pandey; Krishna Prasad Miyapuram; Derek Lomas (BI, 2022)

Music Identification Using Brain Responses to Initial Snippets. - Pankaj Pandey; Gulshan Sharma; Krishna P. Miyapuram; Ramanathan Subramanian; Derek Lomas (ICASSP, 2022)

Neural Encoding of Songs is Modulated by Their Enjoyment. - Gulshan Sharma; Pankaj Pandey; Ramanathan Subramanian; Krishna Prasad Miyapuram; Abhinav Dhall (ICMI, 2022)

Temporal Dynamics of Value Integration in Perceptual Decisions: An EEG Study. - Manisha Chawla; Krishna P. Miyapuram (ICONIP (5), 2022)

Identifying Dominant Emotion in Positive and Negative Groups of Navarasa Using Functional Brain Connectivity Patterns. - Pankaj Pandey; Richa Tripathi; Gayatri Nerpagar; Krishna Prasad Miyapuram (ICONIP (2), 2022)

Towards the development of personalized and generalized interfaces for brain signals across different styles of meditation. - Shruti Singh 001; Pankaj Pandey; Shivam Chaudhary; Krishna P. Miyapuram; James Derek Lomas (ICVGIP, 2022)

Classifying oscillatory brain activity associated with Indian Rasas using network metrics. - Pankaj Pandey; Richa Tripathi; Krishna Prasad Miyapuram (Brain Informatics, 2022)

Improving self-supervised pretraining models for epileptic seizure detection from EEG data. - Sudip Das; Pankaj Pandey; Krishna Prasad Miyapuram (CoRR, 2022)

Resonance as a Design Strategy for AI and Social Robots. - James Derek Lomas; Albert Lin; Suzanne Dikker; Deborah Forster; Maria Luce Lupetti; Gijs Huisman; Julika Habekost; Caiseal Beardow; Pankaj Pandey; Nashra Ahmad; Krishna P. Miyapuram; Tim Mullen; et al. (Frontiers Neurorobotics, 2022)

Predicting drum beats from high-density Brain Rhythms. - Shivam Chaudhary; Krishna Prasad Miyapuram; Derek Lomas (COMAD/CODS, 2023)

Automatic Epilepsy Detection from EEG signals. - Vridhi Rohira; Shivam Chaudhary; Sudip Das; Krishna Prasad Miyapuram (COMAD/CODS, 2023)

EEG2IMAGE: Image Reconstruction from EEG Brain Signals. - Prajwal Singh; Pankaj Pandey; Krishna P. Miyapuram; Shanmuganathan Raman (ICASSP, 2023)

Decoding Individual and Shared Experiences of Media Perception Using CNN Architectures. - Riddhi Johri; Pankaj Pandey; Krishna Prasad Miyapuram; James Derek Lomas (MIUA, 2023)

Multi Task Learning for Predicting Music Video Clip and Participant Identification from Brain Responses. - Jhanvi H. Mehta; Muskan Priyadarshani; Aditi Jha; Krishna P. Miyapuram (COMAD/CODS (December), 2024)

Predicting Valence and Arousal from Affective Images: A Comparative Analysis of deep learning and Random Forest Regressor. - Muskan Priyadarshani; Krishna P. Miyapuram (COMAD/CODS (December), 2024)

Enhancing Motor Imagery based Brain Computer Interfaces for Stroke Rehabilitation. - Saher Soni; Shivam Chaudhary; Krishna Prasad Miyapuram (COMAD/CODS, 2024)

Learning Robust Deep Visual Representations from EEG Brain Recordings. - Prajwal Singh; Dwip Dalal; Gautam Vashishtha; Krishna P. Miyapuram; Shanmuganathan Raman (WACV, 2024)

Dynamic Vision from EEG Brain Recordings: How much does EEG know? - Prajwal Singh; Anupam Sharma; Pankaj Pandey; Krishna P. Miyapuram; Shanmuganathan Raman (CoRR, 2025)

EWGN: Elastic Weight Generation and Context Switching in Deep Learning. - Shriraj P. Sawant; Krishna P. Miyapuram (CoRR, 2025)