Foundation Models for Cross-Domain EEG Analysis Application: A Survey | Paper Citation Record

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This paper cites Dual-TSST: A dual-branch temporal- spectral-spatial Transformer model for EEG decoding,.

Foundation Models for Cross-Domain EEG Analysis Application: A Survey Dual-TSST: A dual-branch temporal- spectral-spatial Transformer model for EEG decoding,

Reference 1

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This paper cites Noninvasive EEG-based intelligent mobile robots: a systematic review,.

Foundation Models for Cross-Domain EEG Analysis Application: A Survey Noninvasive EEG-based intelligent mobile robots: a systematic review,

Reference 2

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This paper cites Neural decoding of EEG signals with machine learning: a systematic review,.

Foundation Models for Cross-Domain EEG Analysis Application: A Survey Neural decoding of EEG signals with machine learning: a systematic review,

Reference 3

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This paper cites Deep learning-based electroencephalography analysis: A systematic review,.

Foundation Models for Cross-Domain EEG Analysis Application: A Survey Deep learning-based electroencephalography analysis: A systematic review,

Reference 4

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This paper cites Transformer-based EEG Decoding: A Survey.

Foundation Models for Cross-Domain EEG Analysis Application: A Survey Transformer-based EEG Decoding: A Survey

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:13.283012Z

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This paper cites On the Opportunities and Risks of Foundation Models.

Foundation Models for Cross-Domain EEG Analysis Application: A Survey On the Opportunities and Risks of Foundation Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:13.354746Z

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This paper cites Improving language understanding by generative pre-training,.

Foundation Models for Cross-Domain EEG Analysis Application: A Survey Improving language understanding by generative pre-training,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:13.461728Z

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey LLaMA: Open and Efficient Foundation Language Models

Reference 8

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This paper cites An image is worth 16×16 words: Transformers for image recognition at scale,.

Foundation Models for Cross-Domain EEG Analysis Application: A Survey An image is worth 16×16 words: Transformers for image recognition at scale,

Reference 9

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This paper cites Swin Transformer: Hierarchical vision transformer using shifted windows,.

Foundation Models for Cross-Domain EEG Analysis Application: A Survey Swin Transformer: Hierarchical vision transformer using shifted windows,

Reference 10

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This paper cites Wav2Vec: Un- supervised pre training for speech recognition,.

Foundation Models for Cross-Domain EEG Analysis Application: A Survey Wav2Vec: Un- supervised pre training for speech recognition,

Reference 11

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This paper cites Robust Speech Recognition via Large-Scale Weak Supervision.

Foundation Models for Cross-Domain EEG Analysis Application: A Survey Robust Speech Recognition via Large-Scale Weak Supervision

Reference 12

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This paper cites Learning transferable visual models from natural language supervision,.

Foundation Models for Cross-Domain EEG Analysis Application: A Survey Learning transferable visual models from natural language supervision,

Reference 13

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This paper cites Flamingo: a visual language model for few-shot learning,.

Foundation Models for Cross-Domain EEG Analysis Application: A Survey Flamingo: a visual language model for few-shot learning,

Reference 14

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This paper cites Mixture cure semiparametric additive hazard models under partly interval censoring -- a penalized likelihood approach.

Foundation Models for Cross-Domain EEG Analysis Application: A Survey Mixture cure semiparametric additive hazard models under partly interval censoring -- a penalized likelihood approach

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:14.086224Z

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This paper cites Optimal Transport for Offline Imitation Learning.

Foundation Models for Cross-Domain EEG Analysis Application: A Survey Optimal Transport for Offline Imitation Learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:14.153057Z

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This paper cites A survey on bridging EEG signals and generative AI: From image and text to beyond,.

Foundation Models for Cross-Domain EEG Analysis Application: A Survey A survey on bridging EEG signals and generative AI: From image and text to beyond,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:14.242737Z

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey Decoding Linguistic Representations of Human Brain

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:14.339736Z

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This paper cites Unveiling thoughts: A review of ad- vancements in EEG brain signal decoding into text,.

Foundation Models for Cross-Domain EEG Analysis Application: A Survey Unveiling thoughts: A review of ad- vancements in EEG brain signal decoding into text,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:14.441839Z

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This paper cites Decoding natural images from EEG for object recogni- tion,.

Foundation Models for Cross-Domain EEG Analysis Application: A Survey Decoding natural images from EEG for object recogni- tion,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:14.519818Z

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This paper cites Decoding speech perception from non-invasive brain recordings,.

Foundation Models for Cross-Domain EEG Analysis Application: A Survey Decoding speech perception from non-invasive brain recordings,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:14.603533Z

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This paper cites Self-supervised Learning for Electroencephalog- raphy,.

Foundation Models for Cross-Domain EEG Analysis Application: A Survey Self-supervised Learning for Electroencephalog- raphy,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:14.668128Z

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This paper cites E2H: A Two-Stage Non-Invasive Neural Signal Driven Humanoid Robotic Whole-Body Control Framework.

Foundation Models for Cross-Domain EEG Analysis Application: A Survey E2H: A Two-Stage Non-Invasive Neural Signal Driven Humanoid Robotic Whole-Body Control Framework

Reference 23

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This paper cites ChatBCI: A P300 speller BCI leveraging large language models for improved sentence composition in realistic scenarios,.

Foundation Models for Cross-Domain EEG Analysis Application: A Survey ChatBCI: A P300 speller BCI leveraging large language models for improved sentence composition in realistic scenarios,

Reference 24

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey Sequential best-arm identification with application to P300 Speller,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:14.933418Z

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey Neural spelling: A spell-based BCI system for language neural decoding,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:14.995784Z

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey Human-AI Teaming Using Large Language Models: Boosting Brain-Computer Interfacing (BCI) and Brain Research

Reference 27

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This paper cites Classification of non-invasive EEG signals during motor imagery tasks using a large language model,.

Foundation Models for Cross-Domain EEG Analysis Application: A Survey Classification of non-invasive EEG signals during motor imagery tasks using a large language model,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:15.151482Z

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey BENDR: Using trans- formers and a contrastive self-supervised learning task to learn from massive amounts of EEG data,

Reference 29

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey From word embedding to reading embedding using large language model, EEG and eye-tracking,

Reference 30

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey Integrating large language model, EEG, and eye- tracking for word-level neural state classification in reading com- prehension,

Reference 31

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This paper cites CBraMod: A criss-cross brain foundation model for EEG decoding,.

Foundation Models for Cross-Domain EEG Analysis Application: A Survey CBraMod: A criss-cross brain foundation model for EEG decoding,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:15.443307Z

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey NeuroChat: A neuroadaptive AI chatbot for cus- tomizing learning experiences,

Reference 33

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey EEG emotion copilot: Pruning LLMs for emotional EEG interpretation with assisted medical record generation,

Reference 34

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey Exploring large-scale language models to evaluate EEG- based multimodal data for mental health,

Reference 35

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Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:15.790643Z

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey Advancing semi-supervised EEG emotion recognition through feature extraction with mixup and large language models,

Reference 37

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey Emotion analysis AI model for sensing architecture using EEG,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:15.996657Z

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey Safe Multi-Agent Navigation guided by Goal-Conditioned Safe Reinforcement Learning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:16.074134Z

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Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:16.124776Z

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Reference 41

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This paper cites BrainWave: A Brain Signal Foundation Model for Clinical Applications.

Foundation Models for Cross-Domain EEG Analysis Application: A Survey BrainWave: A Brain Signal Foundation Model for Clinical Applications

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:16.437189Z

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey Clinical grade prediction of therapeutic dosage for electroconvulsive therapy (ECT) based on patient’s pre-ictal EEG using fuzzy causal transformers,

Reference 43

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey Large Transformers are Better EEG Learners

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:16.814940Z

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey EEG-GPT: Exploring Capabilities of Large Language Models for EEG Classification and Interpretation

Reference 45

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey NeuroLM: A universal multi-task foundation model for bridging the gap between language and EEG signals,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:17.150802Z

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey A spatial-temporal transformer architecture using mul- ti-channel signals for sleep stage classification,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:17.239669Z

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey Exploration of LLMs, EEG, and behavioral data to measure and support attention and sleep

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:17.358163Z

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey Are foundation models useful feature extractors for electroencephalography analysis?,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:17.511772Z

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Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:17.618677Z

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey Can brain signals reveal inner alignment with human languages?,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:17.746526Z

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey Enhancing EEG-to-text decoding through transferable representations from pre-trained contrastive EEG-text masked auto- encoder,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:17.891007Z

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey Aligning semantic in brain and language: A curricu- lum contrastive method for electroencephalography-to-text generation,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:18.065185Z

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This paper cites Towards linguistic neural representation learning and sentence retrieval from electroencephalogram recordings,.

Foundation Models for Cross-Domain EEG Analysis Application: A Survey Towards linguistic neural representation learning and sentence retrieval from electroencephalogram recordings,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:18.183389Z

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey LLMs Help Alleviate the Cross-Subject Variability in Brain Signal and Language Alignment

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:18.343551Z

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This paper cites BELT: Bootstrapped EEG-to-language training by natural language supervision,.

Foundation Models for Cross-Domain EEG Analysis Application: A Survey BELT: Bootstrapped EEG-to-language training by natural language supervision,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:18.469938Z

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension,

Reference 57

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This paper cites Open vocabulary electroencephalography-to-text decoding and zero-shot sentiment classification,.

Foundation Models for Cross-Domain EEG Analysis Application: A Survey Open vocabulary electroencephalography-to-text decoding and zero-shot sentiment classification,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:18.758464Z

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This paper cites From Thought to Action: How a Hierarchy of Neural Dynamics Supports Language Production.

Foundation Models for Cross-Domain EEG Analysis Application: A Survey From Thought to Action: How a Hierarchy of Neural Dynamics Supports Language Production

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:18.896150Z

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey Brain-to-Text Decoding: A Non-invasive Approach via Typing

Reference 60

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey Deep representation learning for open vocabulary electroencephalography-to-text decoding,

Reference 61

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey SEE: Semantically aligned EEG-to-text translation,

Reference 62

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Reference 63

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey Dewave: Discrete EEG waves encoding for brain dynamics to text translation,

Reference 64

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Reference 65

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey EEG-CLIP : Learning EEG representations from natural language descriptions

Reference 66

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey Are EEG-to-Text Models Working?

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:19.634495Z

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey Learning robust deep visual representations from EEG brain recordings,

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:19.748973Z

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey Human-Aligned Image Models Improve Visual Decoding from the Brain

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:19.835114Z

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey MB2C: Multimodal bidirectional cycle consistency for learning robust visual neural representations,

Reference 70

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Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:20.014354Z

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Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:20.168787Z

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey RealMind: Advancing Visual Decoding and Language Interaction via EEG Signals

Reference 73

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey Visual decoding and reconstruction via EEG embeddings with guided diffusion,

Reference 74

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey DreamDiffusion: Generating High-Quality Images from Brain EEG Signals

Reference 75

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey Guess what I think: Streamlined EEG-to-image gen- eration with latent diffusion models,

Reference 76

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey EEG decoding and visual reconstruction via 3D geometric with nonstationarity modelling,

Reference 77

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey Seeing through the Brain: Image Reconstruction of Visual Perception from Human Brain Signals

Reference 78

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey Efficient estimation with incomplete data via generalised ANOVA decompositions

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:21.002002Z

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey BrainDreamer: Reasoning-Coherent and Controllable Image Generation from EEG Brain Signals via Language Guidance

Reference 80

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey BrainVis: Exploring the bridge between brain and visual signals via image reconstruction,

Reference 81

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey Scaling laws for decoding images from brain activity

Reference 82

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey Perceptogram: Reconstructing visual percepts from EEG,

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:21.428203Z

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey EEG2Video: Towards decoding dynamic visual percep- tion from EEG signals,

Reference 84

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey EEG-Driven 3D Object Reconstruction with Style Consistency and Diffusion Prior

Reference 85

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Reference 86

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey Mildenhall, et al

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:21.907186Z

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey Contextual feature extraction hierarchies converge in large language models and the brain,

Reference 88

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey A high-performance neuroprosthesis for speech decoding and avatar control,

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:22.084714Z

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey Decoding of the speech envelope from EEG using the VLAAI deep neural network,

Reference 90

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey Imagined speech reconstruction from neural signals—an overview of sources and methods,

Reference 91

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey Investigating self-supervised deep representations for EEG-based auditory attention decoding,

Reference 92

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey Estimating musical surprisal in audio,

Reference 93

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey Multimodal fusion for EEG emotion recognition in music with a multi-task learning framework,

Reference 94

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey A review on EEG neural music system and application,

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:22.638012Z

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey Generative AI and EEG-based music personali- zation for work stress reduction,

Reference 96

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey Simple and controllable music generation,

Reference 97

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey An investigation on the speech recovery from EEG signals using transformer,

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:22.924984Z

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey Towards voice reconstruction from EEG imagined speech,

Reference 99

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Foundation Models for Cross-Domain EEG Analysis Application: A Survey Towards EEG-based talking-face generation for brain signal-driven dynamic communication,

Reference 100

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