activity
20182025
most citedImproving self-supervised pretraining models for epileptic seizure detection from EEG data

11 citations · 18 across the 6 of their papers we have counts for

collaborators

7 papers

cs.HC2025

Beyond Reconstruction: What EEG-to-Video Decoding Actually Recovers

Prajwal Singh, Anupam Sharma, Pankaj Pandey +2

Reconstructing dynamic visual stimuli from EEG recordings is challenging due to the noisy, non-stationary nature of EEG signals and the limited availability of EEG-video datasets.…

cs.HC2023★ 1 cited

EEG2IMAGE: Image Reconstruction from EEG Brain Signals

Prajwal Singh, Pankaj Pandey, Krishna Miyapuram +1

Reconstructing images using brain signals of imagined visuals may provide an augmented vision to the disabled, leading to the advancement of Brain-Computer Interface (BCI) technolo…

cs.HC2022★ 1 cited

Neural Encoding of Songs is Modulated by Their Enjoyment

Gulshan Sharma, Pankaj Pandey, Ramanathan Subramanian +2

We examine user and song identification from neural (EEG) signals. Owing to perceptual subjectivity in human-media interaction, music identification from brain signals is a challen…

eess.SP2022★ 11 cited

Improving self-supervised pretraining models for epileptic seizure detection from EEG data

Sudip Das, Pankaj Pandey, Krishna Prasad Miyapuram

There is abundant medical data on the internet, most of which are unlabeled. Traditional supervised learning algorithms are often limited by the amount of labeled data, especially…

cs.LG2021

BRAIN2DEPTH: Lightweight CNN Model for Classification of Cognitive States from EEG Recordings

Pankaj Pandey, Krishna Prasad Miyapuram

Several Convolutional Deep Learning models have been proposed to classify the cognitive states utilizing several neuro-imaging domains. These models have achieved significant resul…

eess.SP2020

Classifying Songs with EEG

Prashant Lawhatre, Bharatesh R Shiraguppi, Esha Sharma +2

This research study aims to use machine learning methods to characterize the EEG response to music. Specifically, we investigate how resonance in the EEG response correlates with i…

q-bio.NC2018★ 5 cited

Characterizing functional brain networks and emotional centers based on Rasa theory of Indian aesthetics

Richa Tripathi, Dyutiman Mukhopadhyay, Chakresh Kumar Singh +2

In Indian history of arts, Rasas are the aesthetics associated with any auditory, visual, literary or musical piece of art that evokes highly orchestrated emotional states. In this…