Abstract
[Google Meet]
連結點我
NeuroAI is an interdisciplinary field that merges neuroscience research with artificial intelligence to deepen understanding of both areas. First, by examining how neuroscience influences the design of modern AI systems, we can see how AI advancements have transformed neuroscience research into improved neuroimaging techniques, better methods for decoding brain signals, and the development of more effective personalized medicine solutions. Next, we will explore the concept of 'Human-AI Symbiosis,' where humans and AI systems learn and adapt together. Brain-computer interfaces are key to this vision, providing neural and physiological signals that enable adaptive models to interpret a user's cognitive state and intentions. As the field progresses, it is moving toward unified NeuroAI foundation models that learn from (neuro)physiological, textual, visual, and human behavioral data—creating new opportunities for generalization, clinical translation, and scientific discovery. Finally, developers should consider ethical issues during NeuroAI development to ensure transparency, accountability, and accessibility.
連結點我
NeuroAI is an interdisciplinary field that merges neuroscience research with artificial intelligence to deepen understanding of both areas. First, by examining how neuroscience influences the design of modern AI systems, we can see how AI advancements have transformed neuroscience research into improved neuroimaging techniques, better methods for decoding brain signals, and the development of more effective personalized medicine solutions. Next, we will explore the concept of 'Human-AI Symbiosis,' where humans and AI systems learn and adapt together. Brain-computer interfaces are key to this vision, providing neural and physiological signals that enable adaptive models to interpret a user's cognitive state and intentions. As the field progresses, it is moving toward unified NeuroAI foundation models that learn from (neuro)physiological, textual, visual, and human behavioral data—creating new opportunities for generalization, clinical translation, and scientific discovery. Finally, developers should consider ethical issues during NeuroAI development to ensure transparency, accountability, and accessibility.
Bio
Dr. Tzyy-Ping Jung is the Co-Director of the Center for Advanced Neurological Engineering and serves as Associate Director at the Swartz Center for Computational Neuroscience at the University of California, San Diego. He also holds an adjunct professorship at several universities in Taiwan and China. His research focuses on integrating fields such as cognitive science, computer science and engineering, neuroscience, bioengineering, and electrical engineering. Known for his significant contributions to blind source separation techniques in biomedical applications, Dr. Jung is an IEEE Fellow and a Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA). His interdisciplinary work is highly cited, with approximately 51,700 total citations and an h-index of 97, according to Google Scholar.