RESEARCH & INSIGHTS
What is changing
in brain AI?
Research notes and technical insights from Neumage on EEG, neuroimaging, multimodal learning, foundation models, reproducibility, and edge AI.
INSIGHTS
NEUMAGE / ARTICLES
ARTICLES & PUBLICATIONS
Latest research notes
and publications.
01 · EEG
EEG Foundation Models: Beyond Hand-Crafted Features
What large-scale EEG pretraining is changing, and why benchmarking and cross-subject evaluation matter.
02 · FUSIONWhy Multimodal Brain AI Is Moving Toward Shared Representations
EEG, MRI, and fMRI provide different views of the brain. The research challenge is connecting them without losing modality-specific information.
03 · ROBUSTNESSWhen a Brain-AI Model Does Not Have Every Modality
Missing-modality learning, cross-modal distillation, and modality-aware models are becoming central to deployable multimodal systems.
04 · EVALUATIONAccuracy Is Not Enough: Calibration, Uncertainty and Reproducibility
Why scientific evaluation needs more than a single headline metric.
05 · EDGE AIFrom Brain Models to Edge Hardware
What changes when EEG and medical AI models need to execute on NPUs, GPUs, and constrained devices.
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