📝 Publications
Exploring foundation model for brain signals
In 2024, I joined the Brainnet group and participated in the research of large brain electrical models. Below is the roadmap of Brainnet group’s research.
Our goal is to establish a universal brain signal model to improve the performance of various downstream tasks in the healthcare field and provide a quantitative understanding of brain activity in human neuroscience.
I am pleased to have contributed to BrainWave, my first research paper. This research introduces the first foundation model for both invasive and non-invasive neural recordings, composed of three main components: embedding layer, Transformer encoder and channel attention. This model will facilitate a wide range of clinical applications in medicine, paving the way for AI-driven approaches to investigate brain disorders and advance neuroscience research.
BrainWave: A Brain Signal Foundation Model for Clinical Applications
Zhizhang Yuan, Fanqi Shen, Meng Li, Yuguo Yu, Chenhao Tan, Yang Yang
This research introduces the first foundation model for both invasive and non-invasive neural recordings.