Brain Decoding
2개 벤치마크 · 논문 146편 · 이 태스크의 논문 보기 →
Benchmarks
Most implemented
Deep learning-based electroencephalography analysis: a systematic review
Deep brain state classification of MEG data
Spatiotemporal Learning of Brain Dynamics from fMRI Using Frequency-Specific Multi-Band Attention for Cognitive and Psychiatric Applications
Diffusion Models for Computational Neuroimaging: A Survey
Papers
Rethinking Brain Decoding with CLIP: The Role of Adversarial Robustness
Brain decoding aims to uncover neural mechanisms by inferring stimulus-related representations from brain signals. In fMRI studies, this is typically achieved by mapping fMRI responses to the latent representations of co…
Adversarial RobustnessFeature ImportanceImage RetrievalBrain DecodingMindAU: EEG-Conditioned Facial Action Unit Editing via Dual-Stream Manifold Alignment
Recent brain decoding studies have made substantial progress in reconstructing externally perceived visual content from neural signals. However, using electroencephalography (EEG) recordings to guide facial expression ed…
Brain DecodingImage EditingDual-Stream EEG Decoding for 3D Visual Perception
This paper explores a novel brain decoding model for 3D shape perception through a dual pathway architecture mirroring biological vision. Our bio-inspired approach implements separate decoding modules for object identity…
3D ReconstructionBrain DecodingEeg DecodingBoosting Brain-to-Image Decoding with TRIBE v2 Data Augmentation
Brain decoding is limited by the availability of labeled neural data, and remains challenging in low-data regimes. To address this issue, we investigate whether and when brain decoding can be boosted by augmenting small …
Data AugmentationBrain DecodingEvoBrain: Continual Learning of EEG Foundation Models Across Heterogeneous BCI Tasks
Electroencephalography (EEG) is the cornerstone of non-invasive brain-computer interfaces (BCIs), yet conventional decoding relies on fragmented, task-specific architectures that severely limit cross-task scalability. Wh…
Continual LearningBrain DecodingEeg DecodingVersatile Framework with Semantic and Structural guidance for Image Reconstruction from Brain Activity
Reconstructing visual stimuli from brain recordings has been a meaningful and challenging task in brain decoding. Especially, the achievement of precise and controllable image reconstruction bears great significance in p…
Text-to-Image GenerationImage ReconstructionBrain Decoding