3 papers
cs.LG2025
On Creating A Brain-To-Text Decoder
Zenon Lamprou, Yashar Moshfeghi
Brain decoding has emerged as a rapidly advancing and extensively utilized technique within neuroscience. This paper centers on the application of raw electroencephalogram (EEG) si…
cs.CL2025
Aligning Brain Activity with Advanced Transformer Models: Exploring the Role of Punctuation in Semantic Processing
Zenon Lamprou, Frank Polick, Yashar Moshfeghi
This research examines the congruence between neural activity and advanced transformer models, emphasizing the semantic significance of punctuation in text understanding. Utilizing…
cs.LG2025
Customizable LLM-Powered Chatbot for Behavioral Science Research
Zenon Lamprou, Yashar Moshfeghi
The rapid advancement of Artificial Intelligence has resulted in the advent of Large Language Models (LLMs) with the capacity to produce text that closely resembles human communica…