Unraveling how macroscopic cognitive phenotypes emerge from microscopic neuronal connectivity remains one of the core pursuits of neuroscience. To this end, researchers typically leverage multi-modal information from structural connectivity (SC) and functional connectivity (FC) to complete downstream tasks. Recent methodologies explore the intricate coupling mechanisms between SC and FC, attempting to fuse their representations at the regional level. However, lacking fundamental neuroscientific insight, these approaches fail to uncover the latent interactions between neural regions underlying these connectomes, and thus cannot explain why SC and FC exhibit dynamic states of both coupling and heterogeneity. In this paper, we formulate multi-modal fusion through the lens of neural communication dynamics and propose the Adaptive Flow Routing Network (AFR-Net), a physics-informed framework that models how structural constraints (SC) give rise to functional communication patterns (FC), enabling interpretable discovery of critical neural pathways. Extensive experiments demonstrate that AFR-Net significantly outperforms state-of-the-art baselines. The code is available at https://anonymous.4open.science/r/DIAL-F0D1.
Tiny Brains, Giant Impact: Uncovering the Keystone Neurons of LLM with Just a Few Prompts
National University of Singapore（新加坡国立大学）；Beijing University of Posts and Telecommunications（北京邮电大学）；University of Science and Technology of China（中国科学技术大学）
FlyPrompt: Brain-Inspired Random-Expanded Routing with Temporal-Ensemble Experts for General Continual Learning
School of Life Sciences, IDG/McGovern Institute for Brain Research, Tsinghua University（生命科学学院，IDG/麦克格雷文脑科学研究院，清华大学）；Department of Psychological and Cognitive Sciences, Tsinghua University（心理学与认知科学系，清华大学）；School of Medicine, Shenzhen Campus of Sun Yat-Sen University（中山大学深圳校区医学学院）
Uncovering cognitive taskonomy through transfer learning in masked autoencoder-based fMRI reconstruction
Southern University of Science and Technology（南方科技大学）；Perelman School of Medicine, The University of Pennsylvania（宾夕法尼亚大学佩雷尔曼医学院）；University of Macau（澳门大学）
RARE-UNet: Resolution-Aligned Routing Entry for Adaptive Medical Image Segmentation
Pioneer Centre for Artificial Intelligence, Department of Computer Science, University of Copenhagen, Copenhagen, Denmark（人工智能先锋中心、计算机科学系、哥本哈根大学、哥本哈根、丹麦）
DSAM: A Deep Learning Framework for Analyzing Temporal and Spatial Dynamics in Brain Networks
Georgia State University（佐治亚州立大学）；TReNDs Center（TReNDs中心）；Georgia Institute of Technology（佐治亚理工学院）；Tulane University（杜兰大学）；Los Alamos National Laboratory（洛斯阿拉莫斯国家实验室）；Tribhuvan University（特里布文大学）
A Physics-Inspired Classical Digital Twin of Cortical Dynamics: A Band-Stratified Metriplectic Port-Hamiltonian Neural Network Learned from Brain-Computer-Interface EEG
A Privacy-Preserving Domain Adversarial Federated learning for multi-site brain functional connectivity analysis
School of Energy and Electrical Engineering, Chang'an University（长安大学能源与电气工程学院）；Tulane University（杜兰大学）；School of Data Science, University of Virginia（弗吉尼亚大学数据科学学院）；Georgia State University（佐治亚州立大学）；Georgia Institute of Technology（佐治亚理工学院）；Emory University（埃默里大学）
Uni-NTFM: A Unified Foundation Model for EEG Signal Representation Learning
Institute of Computing Technology, Chinese Academy of Sciences（中国科学院计算技术研究所）；University of the Chinese Academy of Sciences（中国科学院大学）；Nanyang Technological University（南洋理工大学）；Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所）；University of Alabama at Birmingham（阿拉巴马大学伯明翰分校）；Peking University（北京大学）
A Confounding Factors-Inhibition Adversarial Learning Framework for Multi-site fMRI Mental Disorder Identification
School of Software, Taiyuan University of Technology（太原科技大学软件学院）；School of Computer Science (Data Science), Taiyuan University of Technology（太原科技大学计算机科学（数据科学）学院）；Max Planck Institute for Human Cognitive and Brain Sciences（马克斯·普朗克人类认知与脑科学研究所）；Department of Psychiatry & Behavioral Sciences, Stanford University（斯坦福大学精神病学与行为科学系）；Montreal Neurological Institute, McGill University（蒙特利尔神经科学研究所，麦吉尔大学）
