% Key papers for Functional connectivity modeling (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{iclr2024_brainlm_34449,
  title = {{BrainLM: A foundation model for brain activity recordings}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18625},
}

@inproceedings{neurips2020_uncovering_61032,
  title = {{Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18754},
}

@inproceedings{neurips2019_manifold_58572,
  title = {{Manifold-regression to predict from MEG/EEG brain signals without source modeling}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13821},
}

@inproceedings{aaai2024_a_5040,
  title = {{A Local-Ascending-Global Learning Strategy for Brain-Computer Interface}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28867},
}

@inproceedings{neurips2023_an_69295,
  title = {{An information-theoretic quantification of the content of communication between brain regions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/70605},
}

@inproceedings{neurips2016_a_55554,
  title = {{A state-space model of cross-region dynamic connectivity in MEG/EEG}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7054},
}

@inproceedings{neurips2017_cross_56226,
  title = {{Cross-Spectral Factor Analysis}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9451},
}

@inproceedings{neurips2016_generalized_55749,
  title = {{Generalized Correspondence-LDA Models (GC-LDA) for Identifying Functional Regions in the Brain}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7234},
}

@inproceedings{neurips2017_time_56727,
  title = {{Time-dependent spatially varying graphical models, with application to brain fMRI data analysis}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9356},
}

@inproceedings{neurips2024_neurobolt_74540,
  title = {{NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93044},
}

@inproceedings{aaai2018_parameter_105798,
  title = {{Parameter-Free Centralized Multi-Task Learning for Characterizing Developmental Sex Differences in Resting State Functional Connectivity}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11907},
}

@inproceedings{neurips2019_a_57852,
  title = {{A state-space model for inferring effective connectivity of latent neural dynamics from simultaneous EEG/fMRI}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13616},
}

@inproceedings{neurips2019_modeling_58616,
  title = {{Modeling Dynamic Functional Connectivity with Latent Factor Gaussian Processes}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13894},
}

@inproceedings{neurips2017_multiscale_56498,
  title = {{Multiscale Semi-Markov Dynamics for Intracortical Brain-Computer Interfaces}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/8881},
}

@inproceedings{neurips2019_direct_58140,
  title = {{Direct Estimation of Differential Functional Graphical Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13448},
}

@inproceedings{neurips2020_neural_60412,
  title = {{Neural Topographic Factor Analysis for fMRI Data}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18844},
}

@inproceedings{iclr2023_a_33087,
  title = {{A probabilistic framework for task-aligned intra- and inter-area neural manifold estimation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/11085},
}

@inproceedings{neurips2021_ccnlab_61235,
  title = {{CCNLab: A Benchmarking Framework for Computational Cognitive Neuroscience}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://openreview.net/forum?id=1vC5GFOXuhM},
}

@inproceedings{neurips2023_gaussian_66599,
  title = {{Gaussian Partial Information Decomposition: Bias Correction and Application to High-dimensional Data}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/73019},
}

@inproceedings{neurips2019_infra_58414,
  title = {{Infra-slow brain dynamics as a marker for cognitive function and decline}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14547},
}

@inproceedings{neurips2024_analytically_70649,
  title = {{Analytically deriving Partial Information Decomposition for affine systems of stable and convolution-closed distributions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96473},
}

@inproceedings{neurips2024_learning_74433,
  title = {{Learning Cortico-Muscular Dependence through Orthonormal Decomposition of Density Ratios}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93138},
}

@inproceedings{icml2024_exploring_43873,
  title = {{Exploring the Enigma of Neural Dynamics Through A Scattering-Transform Mixer Landscape for Riemannian Manifold}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34579},
}

@inproceedings{icml2025_accurate_47121,
  title = {{Accurate Identification of Communication Between Multiple Interacting Neural Populations}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45466},
}

@inproceedings{icml2025_dynamical_48340,
  title = {{Dynamical Modeling of Behaviorally Relevant Spatiotemporal Patterns in Neural Imaging Data}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44275},
}

@inproceedings{icml2025_learning_48610,
  title = {{Learning Time-Varying Multi-Region Brain Communications via Scalable Markovian Gaussian Processes}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44011},
}

@inproceedings{icml2026_uncovering_53164,
  title = {{Uncovering Latent Communication Patterns in Brain Networks via Adaptive Flow Routing}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=clFn9vQ8cK},
}

@inproceedings{neurips2025_thd_75289,
  title = {{THD-BAR: Topology Hierarchical Derived Brain Autoregressive Modeling for EEG Generic Representations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=6Q5WG84uOD},
}

@inproceedings{neurips2025_inference_75296,
  title = {{Inference of Whole Brain Electrophysiological Networks Through Multimodal Integration of Simultaneous Scalp and Intracranial EEG}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=6UAeCPQPwP},
}

@inproceedings{neurips2025_muniverse_77341,
  title = {{MUniverse: A Simulation and Benchmarking Suite for Motor Unit Decomposition}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=Slrp3l7aYo},
}

@inproceedings{neurips2025_long_77382,
  title = {{Long-term Intracortical Neural activity and Kinematics (LINK): An intracortical neural dataset for chronic brain-machine interfaces, neuroscience, and machine learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=TAdeh1dLzu},
}

@inproceedings{neurips2025_inpainting_77902,
  title = {{Inpainting the Neural Picture: Inferring Unrecorded Brain Area Dynamics from Multi-Animal Datasets}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=YufSVJxDgt},
}

@inproceedings{neurips2025_brainflow_78531,
  title = {{BrainFlow: A Holistic Pathway of Dynamic Neural System on Manifold}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=fkYZKArFLF},
}

@inproceedings{neurips2025_joint_79526,
  title = {{Joint Modeling of fMRI and EEG Imaging Using Ordinary Differential Equation-Based Hypergraph Neural Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=qJLPlZSdkb},
}

@inproceedings{iclr2025_creimbo_80606,
  title = {{CREIMBO: Cross-Regional Ensemble Interactions in Multi-view Brain Observations}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/31159},
}

@inproceedings{neurips2026_brainvista_90373,
  title = {{BrainVista: Modeling Naturalistic Brain Dynamics as Multimodal Next-Token Prediction}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/153166},
}

@inproceedings{aaai2026_dcho_100120,
  title = {{DCHO: A Decomposition–Composition Framework for Predicting Higher-Order Brain Connectivity to Enhance Diverse Downstream Applications}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37171},
}