{"total":37,"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":"2310.19812","title":"Brain decoding: toward real-time reconstruction of visual perception","created":"2023-10-18","cited_by_count":66,"area":null},{"id":"2404.07850","title":"MindBridge: A Cross-Subject Brain Decoding Framework","created":"2024-04-11","cited_by_count":66,"area":null},{"id":"2404.07202","title":"UMBRAE: Unified Multimodal Brain Decoding","created":"2024-04-10","cited_by_count":32,"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":"2310.04420","title":"BrainSCUBA: Fine-Grained Natural Language Captions of Visual Cortex Selectivity","created":"2023-10-06","cited_by_count":19,"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":"2502.15786","title":"MindLLM: A Subject-Agnostic and Versatile Model for fMRI-to-Text Decoding","created":"2025-02-18","cited_by_count":14,"area":null},{"id":"2410.05266","title":"Brain Mapping with Dense Features: Grounding Cortical Semantic Selectivity in Natural Images With Vision Transformers","created":"2024-10-07","cited_by_count":13,"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":"2312.06467","title":"Aligning brain functions boosts the decoding of visual semantics in novel subjects","created":"2023-12-11","cited_by_count":10,"area":null},{"id":"2508.10298","title":"SynBrain: Enhancing Visual-to-fMRI Synthesis via Probabilistic Representation Learning","created":"2025-08-14","cited_by_count":9,"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":"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":"2312.03781","title":"Lite-Mind: Towards Efficient and Robust Brain Representation Network","created":"2023-12-06","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":"2503.11167","title":"Neurons: Emulating the Human Visual Cortex Improves Fidelity and Interpretability in fMRI-to-Video Reconstruction","created":"2025-03-14","cited_by_count":6,"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":"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":"2505.15813","title":"Meta-Learning an In-Context Transformer Model of Human Higher Visual Cortex","created":"2025-05-21","cited_by_count":4,"area":null},{"id":"2405.18812","title":"MindSemantix: Deciphering Brain Visual Experiences with a Brain-Language Model","created":"2024-05-29","cited_by_count":2,"area":null},{"id":"2503.10663","title":"Optimal Transport for Brain-Image Alignment: Unveiling Redundancy and Synergy in Neural Information Processing","created":"2025-03-09","cited_by_count":2,"area":null},{"id":"2603.07625","title":"Duala: Dual-Level Alignment of Subjects and Stimuli for Cross-Subject fMRI Decoding","created":"2026-03-08","cited_by_count":1,"area":null},{"id":"2604.08537","title":"Meta-learning In-Context Enables Training-Free Cross Subject Brain Decoding","created":"2026-04-09","cited_by_count":1,"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":"2506.06035","title":"HAVIR: HierArchical Vision to Image Reconstruction using CLIP-Guided Versatile Diffusion","created":"2025-06-06","cited_by_count":0,"area":null},{"id":"2507.02311","title":"Perception Activator: An intuitive and portable framework for brain cognitive exploration","created":"2025-07-03","cited_by_count":0,"area":null},{"id":"2510.02266","title":"NeuroSwift: A Lightweight Cross-Subject Framework for fMRI Visual Reconstruction of Complex Scenes","created":"2025-10-02","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":"2604.09817","title":"NeuroFlow: Toward Unified Visual Encoding and Decoding from Neural Activity","created":"2026-04-10","cited_by_count":0,"area":null},{"id":"2605.02586","title":"StableMind: Source-Free Cross-Subject fMRI Decoding with Regularized Adaptation","created":"2026-05-04","cited_by_count":0,"area":null},{"id":"2605.17198","title":"MIRAGE: Robust multi-modal architectures translate fMRI-to-image models from vision to mental imagery","created":"2026-05-16","cited_by_count":0,"area":null},{"id":"2605.29588","title":"Brain-IT-VQA: From Brain Signals to Answers","created":"2026-05-28","cited_by_count":0,"area":null},{"id":"2606.30319","title":"BrainJanus: A Unified Model for Understanding and Generation across Brain, Vision, and Language","created":"2026-06-29","cited_by_count":0,"area":null}],"next_cursor":null}