11 citations · 13 across the 6 of their papers we have counts for
6 papers
EWGN: Elastic Weight Generation and Context Switching in Deep Learning
Shriraj P. Sawant, Krishna P. Miyapuram
The ability to learn and retain a wide variety of tasks is a hallmark of human intelligence that has inspired research in artificial general intelligence. Continual learning approa…
Evaluating Fast Adaptability of Neural Networks for Brain-Computer Interface
Anupam Sharma, Krishna Miyapuram
Electroencephalography (EEG) classification is a versatile and portable technique for building non-invasive Brain-computer Interfaces (BCI). However, the classifiers that decode co…
Learning Robust Deep Visual Representations from EEG Brain Recordings
Prajwal Singh, Dwip Dalal, Gautam Vashishtha +2
Decoding the human brain has been a hallmark of neuroscientists and Artificial Intelligence researchers alike. Reconstruction of visual images from brain Electroencephalography (EE…
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…
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…
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…