3 papers
cs.AI2026
Nano-EmoX: Unifying Multimodal Emotional Intelligence from Perception to Empathy
Jiahao Huang, Fengyan Lin, Xuechao Yang +4
The development of affective multimodal language models (MLMs) has long been constrained by a gap between low-level perception and high-level interaction, leading to fragmented aff…
cs.LG2026
Interpretable Cross-Network Attention for Resting-State fMRI Representation Learning
Karanpartap Singh, Adam Turnbull, Mohammad Abbasi +3
Understanding how large-scale functional brain networks reorganize during cognitive decline remains a central challenge in neuroimaging. While recent self-supervised models have sh…
cs.CV2026
Decoding Visual Experience and Mapping Semantics through Whole-Brain Analysis Using fMRI Foundation Models
Yanchen Wang, Adam Turnbull, Tiange Xiang +6
Neural decoding, the process of understanding how brain activity corresponds to different stimuli, has been a primary objective in cognitive sciences. Over the past three decades,…