4 papers
SENSE: Efficient EEG-to-Text via Privacy-Preserving Semantic Retrieval
Akshaj Murhekar, Christina Liu, Abhijit Mishra +2
Decoding brain activity into natural language is a major challenge in AI with important applications in assistive communication, neurotechnology, and human-computer interaction. Mo…
LoR-LUT: Learning Compact 3D Lookup Tables via Low-Rank Residuals
Ziqi Zhao, Abhijit Mishra, Shounak Roychowdhury
We present LoR-LUT, a unified low-rank formulation for compact and interpretable 3D lookup table (LUT) generation. Unlike conventional 3D-LUT-based techniques that rely on fusion o…
A Survey on Bridging EEG Signals and Generative AI: From Image and Text to Beyond
Shreya Shukla, Jose Torres, Akshaj Murhekar +4
Decoding neural activity into human-interpretable representations is a key research direction in brain-computer interfaces (BCIs) and computational neuroscience. Recent progress in…
Thought2Text: Text Generation from EEG Signal using Large Language Models (LLMs)
Abhijit Mishra, Shreya Shukla, Jose Torres +2
Decoding and expressing brain activity in a comprehensible form is a challenging frontier in AI. This paper presents Thought2Text, which uses instruction-tuned Large Language Model…