% Key papers for Latent models of neural activity (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2016_structure_11893,
  title = {{Structure Inference Machines: Recurrent Neural Networks for Analyzing Relations in Group Activity Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{neurips2022_no_66204,
  title = {{No Free Lunch from Deep Learning in Neuroscience: A Case Study through Models of the Entorhinal-Hippocampal Circuit}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/53619},
}

@inproceedings{neurips2020_learning_60214,
  title = {{Learning identifiable and interpretable latent models of high-dimensional neural activity using pi-VAE}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18043},
}

@inproceedings{neurips2021_neural_61928,
  title = {{Neural Latents Benchmark ‘21: Evaluating latent variable models of neural population activity}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://openreview.net/forum?id=KVMS3fl4Rsv},
}

@inproceedings{neurips2019_universality_59147,
  title = {{Universality and individuality in neural dynamics across large populations of recurrent networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14641},
}

@inproceedings{neurips2023_cognitive_68184,
  title = {{Cognitive Model Discovery via Disentangled RNNs}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/71608},
}

@inproceedings{aaai2018_transferring_106148,
  title = {{Transferring Decomposed Tensors for Scalable Energy Breakdown Across Regions}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11343},
}

@inproceedings{neurips2018_model_57386,
  title = {{Model-based targeted dimensionality reduction for neuronal population data}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11646},
}

@inproceedings{neurips2021_targeted_62752,
  title = {{Targeted Neural Dynamical Modeling}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/26735},
}

@inproceedings{neurips2018_point_57511,
  title = {{Point process latent variable models of larval zebrafish behavior}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/12032},
}

@inproceedings{iclr2023_actionable_33386,
  title = {{Actionable Neural Representations: Grid Cells from Minimal Constraints}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/10715},
}

@inproceedings{neurips2020_system_60911,
  title = {{System Identification with Biophysical Constraints: A Circuit Model of the Inner Retina}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17100},
}

@inproceedings{neurips2019_disentangled_58149,
  title = {{Disentangled behavioural representations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13424},
}

@inproceedings{neurips2018_integrated_57246,
  title = {{Integrated accounts of behavioral and neuroimaging data using flexible recurrent neural network models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11419},
}

@inproceedings{aaai2023_neural_4241,
  title = {{Neural Integro-Differential Equations}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26315},
}

@inproceedings{neurips2021_charting_63284,
  title = {{Charting and Navigating the Space of Solutions for Recurrent Neural Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27168},
}

@inproceedings{aaai2019_safe_101366,
  title = {{Safe Partial Diagnosis from Normal Observations}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4167},
}

@inproceedings{iclr2023_a_32762,
  title = {{A Theoretical Framework for Inference and Learning in Predictive Coding Networks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/10928},
}

@inproceedings{neurips2019_efficient_58202,
  title = {{Efficient characterization of electrically evoked responses for neural interfaces}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14363},
}

@inproceedings{neurips2024_partial_71667,
  title = {{Partial observation can induce mechanistic mismatches in data-constrained models of neural dynamics}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95614},
}

@inproceedings{iclr2024_a_33815,
  title = {{A differentiable brain simulator bridging brain simulation and brain-inspired computing}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19260},
}

@inproceedings{neurips2024_wildppg_71806,
  title = {{WildPPG: A Real-World PPG Dataset of Long Continuous Recordings}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97729},
}

@inproceedings{aaai2024_nowcasting_6799,
  title = {{Nowcasting Temporal Trends Using Indirect Surveys}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30242},
}

@inproceedings{iclr2024_one_34253,
  title = {{One-hot Generalized Linear Model for Switching Brain State Discovery}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18822},
}

@inproceedings{iclr2024_most_33782,
  title = {{Most discriminative stimuli for functional cell type clustering}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19293},
}

@inproceedings{neurips2024_exploring_72369,
  title = {{Exploring the trade-off between deep-learning and explainable models for brain-machine interfaces}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94983},
}

@inproceedings{neurips2024_inference_74648,
  title = {{Inference of Neural Dynamics Using Switching Recurrent Neural Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/92945},
}

@inproceedings{neurips2025_noble_75851,
  title = {{NOBLE - Neural Operator with Biologically-informed Latent Embeddings to Capture Experimental Variability in Biological Neuron Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=CmY6DzEG7Z},
}

@inproceedings{iclr2025_simpl_81098,
  title = {{SIMPL: Scalable and hassle-free optimisation of neural representations from behaviour}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30670},
}

@inproceedings{iclr2024_critical_33836,
  title = {{Critical Learning Periods Emerge Even in Deep Linear Networks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19239},
}

@inproceedings{icml2026_learning_49682,
  title = {{Learning Biophysical Models of Large-Scale Multineuronal Data To Enable Precise Neurostimulation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=4hoiRJsmpp},
}

@inproceedings{neurips2025_identifying_74856,
  title = {{Identifying multi-compartment Hodgkin-Huxley models with high-density extracellular voltage recordings}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=1si0Vq4O91},
}

@inproceedings{neurips2025_omiso_76935,
  title = {{OMiSO: Adaptive optimization of state-dependent brain stimulation to shape neural population states}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=OiqQGjNvyJ},
}

@inproceedings{neurips2025_modeling_78416,
  title = {{Modeling Dynamic Neural Activity by combining Naturalistic Video Stimuli and Stimulus-independent Latent Factors}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=eMu3uKRRbZ},
}

@inproceedings{neurips2025_mechanistic_79017,
  title = {{Mechanistic Interpretability of RNNs emulating Hidden Markov Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=kn4QjJFZaN},
}

@inproceedings{neurips2025_a_79319,
  title = {{A Scalable, Causal, and Energy Efficient Framework for Neural Decoding with Spiking Neural Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=oAbaGU9N1X},
}

@inproceedings{neurips2025_time_79862,
  title = {{Time-Evolving Dynamical System for Learning Latent Representations of Mouse Visual Neural Activity}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=tgwjgDoaQq},
}

@inproceedings{neurips2026_accuracy_91649,
  title = {{Accuracy of Noise Ceiling Estimators for Brain Scores}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/154840},
}

@inproceedings{cvpr2026_neuroflow_97935,
  title = {{NeuroFlow: Toward Unified Visual Encoding and Decoding from Neural Activity}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Mai_NeuroFlow_Toward_Unified_Visual_Encoding_and_Decoding_from_Neural_Activity_CVPR_2026_paper.html},
}