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Semantic language decoding across participants and stimulus modalities
Brain decoders that reconstruct language from semantic representations have the potential
to improve communication for people with impaired language production. However, training …
to improve communication for people with impaired language production. However, training …
SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments
Current AI frameworks for brain decoding and encoding, typically train and test models
within the same datasets. This limits their utility for brain computer interfaces (BCI) or …
within the same datasets. This limits their utility for brain computer interfaces (BCI) or …
MindAligner: Explicit Brain Functional Alignment for Cross-Subject Visual Decoding from Limited fMRI Data
Brain decoding aims to reconstruct visual perception of human subject from fMRI signals,
which is crucial for understanding brain's perception mechanisms. Existing methods are …
which is crucial for understanding brain's perception mechanisms. Existing methods are …
MindDETR: Beyond Semantics, Exploring Positional Cues from Brain Activity
Decoding visual stimuli from brain recordings offers a unique opportunity to understand how
the brain represents the world and seeks to interpret the connection between computer …
the brain represents the world and seeks to interpret the connection between computer …