{"total":43,"rows":[{"id":"2403.11207","title":"MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data","created":"2024-03-17","cited_by_count":109,"area":null},{"id":"2404.07850","title":"MindBridge: A Cross-Subject Brain Decoding Framework","created":"2024-04-11","cited_by_count":66,"area":null},{"id":"2306.16934","title":"DreamDiffusion: Generating High-Quality Images from Brain EEG Signals","created":"2023-06-29","cited_by_count":56,"area":null},{"id":"2212.02409","title":"Decoding natural image stimuli from fMRI data with a surface-based convolutional network","created":"2022-12-05","cited_by_count":49,"area":null},{"id":"2308.04249","title":"MindDiffuser: Controlled Image Reconstruction from Human Brain Activity with Semantic and Structural Diffusion","created":"2023-08-08","cited_by_count":47,"area":null},{"id":"2310.02265","title":"DREAM: Visual Decoding from Reversing Human Visual System","created":"2023-10-03","cited_by_count":44,"area":null},{"id":"2302.12971","title":"BrainCLIP: Bridging Brain and Visual-Linguistic Representation Via CLIP for Generic Natural Visual Stimulus Decoding","created":"2023-02-25","cited_by_count":36,"area":null},{"id":"2305.17214","title":"Contrast, Attend and Diffuse to Decode High-Resolution Images from Brain Activities","created":"2023-05-26","cited_by_count":36,"area":null},{"id":"2411.12248","title":"Neuro-3D: Towards 3D Visual Decoding from EEG Signals","created":"2024-11-19","cited_by_count":23,"area":null},{"id":"2501.15322","title":"Scaling laws for decoding images from brain activity","created":"2025-01-25","cited_by_count":22,"area":null},{"id":"2401.00430","title":"Brain-Conditional Multimodal Synthesis: A Survey and Taxonomy","created":"2023-12-31","cited_by_count":15,"area":null},{"id":"2212.06726","title":"Semantic Brain Decoding: from fMRI to conceptually similar image reconstruction of visual stimuli","created":"2022-12-13","cited_by_count":12,"area":null},{"id":"2312.07485","title":"MinD-3D: Reconstruct High-quality 3D objects in Human Brain","created":"2023-12-12","cited_by_count":11,"area":null},{"id":"2405.03280","title":"Animate Your Thoughts: Decoupled Reconstruction of Dynamic Natural Vision from Slow Brain Activity","created":"2024-05-06","cited_by_count":11,"area":null},{"id":"2303.14730","title":"Joint fMRI Decoding and Encoding with Latent Embedding Alignment","created":"2023-03-26","cited_by_count":8,"area":null},{"id":"2506.06898","title":"NSD-Imagery: A benchmark dataset for extending fMRI vision decoding methods to mental imagery","created":"2025-06-07","cited_by_count":8,"area":null},{"id":"2411.13378","title":"Quantum-Brain: Quantum-Inspired Neural Network Approach to Vision-Brain Understanding","created":"2024-11-20","cited_by_count":7,"area":null},{"id":"2503.15978","title":"A Survey on fMRI-based Brain Decoding for Reconstructing Multimodal Stimuli","created":"2025-03-20","cited_by_count":7,"area":null},{"id":"2309.15729","title":"MindGPT: Interpreting What You See with Non-invasive Brain Recordings","created":"2023-09-27","cited_by_count":6,"area":null},{"id":"2409.11315","title":"MinD-3D++: Advancing fMRI-Based 3D Reconstruction with High-Quality Textured Mesh Generation and a Comprehensive Dataset","created":"2024-09-17","cited_by_count":6,"area":null},{"id":"2502.16861","title":"A Survey of fMRI to Image Reconstruction","created":"2025-02-24","cited_by_count":6,"area":null},{"id":"2403.06361","title":"See Through Their Minds: Learning Transferable Neural Representation from Cross-Subject fMRI","created":"2024-03-11","cited_by_count":5,"area":null},{"id":"2411.02783","title":"BrainBits: How Much of the Brain are Generative Reconstruction Methods Using?","created":"2024-11-05","cited_by_count":5,"area":null},{"id":"2505.14556","title":"Dynadiff: Single-stage Decoding of Images from Continuously Evolving fMRI","created":"2025-05-20","cited_by_count":5,"area":null},{"id":"2405.17720","title":"MindFormer: Semantic Alignment of Multi-Subject fMRI for Brain Decoding","created":"2024-05-28","cited_by_count":4,"area":null},{"id":"2411.17475","title":"COBRA: A Continual Learning Approach to Vision-Brain Understanding","created":"2024-11-25","cited_by_count":4,"area":null},{"id":"2306.10082","title":"DreamCatcher: Revealing the Language of the Brain with fMRI using GPT Embedding","created":"2023-06-16","cited_by_count":3,"area":null},{"id":"2409.18462","title":"Latent Representation Learning for Multimodal Brain Activity Translation","created":"2024-09-27","cited_by_count":3,"area":null},{"id":"2409.17987","title":"LLM4Brain: Training a Large Language Model for Brain Video Understanding","created":"2024-09-26","cited_by_count":2,"area":null},{"id":"2502.00412","title":"TROI: Cross-Subject Pretraining with Sparse Voxel Selection for Enhanced fMRI Visual Decoding","created":"2025-02-01","cited_by_count":2,"area":null},{"id":"2507.16389","title":"From Flat to Round: Redefining Brain Decoding with Surface-Based fMRI and Cortex Structure","created":"2025-07-22","cited_by_count":2,"area":null},{"id":"2409.20428","title":"Decoding the Echoes of Vision from fMRI: Memory Disentangling for Past Semantic Information","created":"2024-09-30","cited_by_count":1,"area":null},{"id":"2410.04383","title":"BrainCodec: Neural fMRI codec for the decoding of cognitive brain states","created":"2024-10-06","cited_by_count":1,"area":null},{"id":"2405.15239","title":"Brain3D: Generating 3D Objects from fMRI","created":"2024-05-24","cited_by_count":0,"area":null},{"id":"2410.00047","title":"Looking through the mind's eye via multimodal encoder-decoder networks","created":"2024-09-27","cited_by_count":0,"area":null},{"id":"2412.13237","title":"Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data","created":"2024-12-17","cited_by_count":0,"area":null},{"id":"2503.06437","title":"SEED: Towards More Accurate Semantic Evaluation for Visual Brain Decoding","created":"2025-03-09","cited_by_count":0,"area":null},{"id":"2508.18187","title":"BRAIN: Bias-Mitigation Continual Learning Approach to Vision-Brain Understanding","created":"2025-08-25","cited_by_count":0,"area":null},{"id":"2510.16196","title":"Seeing Through the Brain: New Insights from Decoding Visual Stimuli with fMRI","created":"2025-10-17","cited_by_count":0,"area":null},{"id":"2510.22335","title":"Moving Beyond Diffusion: Hierarchy-to-Hierarchy Autoregression for fMRI-to-Image Reconstruction","created":"2025-10-25","cited_by_count":0,"area":null},{"id":"2601.09213","title":"SpikeVAEDiff: Neural Spike-based Natural Visual Scene Reconstruction via VD-VAE and Versatile Diffusion","created":"2026-01-14","cited_by_count":0,"area":null},{"id":"2607.22753","title":"Real-time Reconstruction of Human Visual Perception from fMRI","created":"2026-07-23","cited_by_count":0,"area":null},{"id":"2609.13991","title":"Mind2Cloud: EEG-to-Point Cloud Generation with Two-Granularity Diffusion Decoding","created":"2026-09-12","cited_by_count":0,"area":null}],"next_cursor":null}