4 papers
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…
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…
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…
On the Role of Activation Functions in EEG-To-Text Decoder
Zenon Lamprou, Iakovos Tenedios, Yashar Moshfeghi
In recent years, much interdisciplinary research has been conducted exploring potential use cases of neuroscience to advance the field of information retrieval. Initial research co…