On January 15, 2026, the second Brian-AI Forum and the annual academic exchange meeting of The Laboratory of Brain Atlas and Brain-Inspired Intelligence at the Institute of Automation, Chinese Academy of Sciences was successfully held. Continuing the central theme of “deep integration of brain science and artificial intelligence,” the event brought together leading domestic scholars and members of the laboratory to broaden research horizons, promote interdisciplinary collaboration, and jointly discuss frontier directions and future trends in the field.

The meeting opened with remarks from Yu Shan, Director of the laboratory, who reviewed the recent trajectory of AI development and its key turning points, offered an outlook on future opportunities, and encouraged the laboratory community to stay committed to cutting-edge research and make the most of the current momentum.

The program then moved into the invited-talk session, featuring distinguished speakers from universities and research institutes. Chaired by Researcher Li Guoqi, this session provided a platform for cross-disciplinary exchange centered on the intersection of brain science and AI, highlighting broader research perspectives and fostering dialogue across communities.

Next, the laboratory progress reports showcased recent representative advances across multiple research lines. Presentations covered topics spanning brain-inspired models and algorithms, neuroscience-motivated computational frameworks, studies related to large-model cognition and interpretability, as well as multi-scale modeling approaches aimed at linking research with potential clinical applications. This session, chaired by Researcher Han Hua, provided a structured overview of the Brain-AI Lab’s recent achievements and its overall research layout.

In the student presentation session, graduate students shared interim progress on their projects. The topics encompassed brain-inspired spiking intelligence and models, neuroimaging-based brain region studies, brain–computer interfaces and neural decoding methods, and system-level designs oriented toward edge deployment and hardware acceleration. Chaired by Associate Researcher Zhang Qian, the session emphasized students’ exploration and practice in interdisciplinary research problems.

The event concluded with a poster session featuring 35 posters. The posters covered a wide range of directions, including brain mechanisms and brain-network analysis, brain–computer interfaces and neural decoding, brain-inspired spiking algorithms and models, brain-inspired foundation and world models, and neuromorphic edge hardware acceleration. The face-to-face discussions around the posters further deepened participants’ understanding of diverse research advances and strengthened opportunities for interdisciplinary interaction and collaboration.

Invited Presentations

Forum Highlights

Group Photo