2 papers
cs.CL2026
MindAlign: Decoding Inner Speech from fMRI Signals via Multimodal Embedding Alignment under Limited Data
Muxuan Liu, Ichiro Kobayashi, Satoshi Nishida
Decoding inner speech from non-invasive brain signals remains a fundamental challenge due to the absence of overt linguistic output, limited training data, and large inter-subject…
cs.CV2025
Do Large Vision-Language Models Distinguish between the Actual and Apparent Features of Illusions?
Taiga Shinozaki, Tomoki Doi, Amane Watahiki +2
Humans are susceptible to optical illusions, which serve as valuable tools for investigating sensory and cognitive processes. Inspired by human vision studies, research has begun e…