% Key papers for Brain-inspired network comparison (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{icml2018_rapid_36951,
  title = {{Rapid Adaptation with Conditionally Shifted Neurons}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/1966},
}

@inproceedings{icml2017_adanet_36048,
  title = {{AdaNet: Adaptive Structural Learning of Artificial Neural Networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/682},
}

@inproceedings{neurips2019_brain_57963,
  title = {{Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13245},
}

@inproceedings{iclr2019_critical_28793,
  title = {{Critical Learning Periods in Deep Networks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/1140},
}

@inproceedings{neurips2020_neuron_60416,
  title = {{Neuron Shapley: Discovering the Responsible Neurons}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17435},
}

@inproceedings{aaai2019_biologically_101674,
  title = {{Biologically Motivated Algorithms for Propagating Local Target Representations}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4389},
}

@inproceedings{neurips2019_from_58298,
  title = {{From deep learning to mechanistic understanding in neuroscience: the structure of retinal prediction}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13914},
}

@inproceedings{neurips2018_stimulus_57650,
  title = {{Stimulus domain transfer in recurrent models for large scale cortical population prediction on video}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11693},
}

@inproceedings{neurips2019_metamers_58600,
  title = {{Metamers of neural networks reveal divergence from human perceptual systems}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14029},
}

@inproceedings{iclr2020_emergence_29514,
  title = {{Emergence of functional and structural properties of the head direction system by optimization of recurrent neural networks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=HklSeREtPB},
}

@inproceedings{neurips2016_optimal_55917,
  title = {{Optimal Architectures in a Solvable Model of Deep Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7246},
}

@inproceedings{neurips2023_a_69696,
  title = {{A Unified, Scalable Framework for Neural Population Decoding}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/70241},
}

@inproceedings{aaai2019_functional_100206,
  title = {{Functional Connectivity Network Analysis with Discriminative Hub Detection for Brain Disease Identification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/3914},
}

@inproceedings{cvpr2018_dual_13041,
  title = {{Dual Skipping Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Cheng_Dual_Skipping_Networks_CVPR_2018_paper.html},
}

@inproceedings{neurips2019_comparison_58012,
  title = {{Comparison Against Task Driven Artificial Neural Networks Reveals Functional Properties in Mouse Visual Cortex}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13701},
}

@inproceedings{icml2020_emergence_38158,
  title = {{Emergence of Separable Manifolds in Deep Language Representations}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6793},
}

@inproceedings{neurips2021_understanding_62882,
  title = {{Understanding Adaptive, Multiscale Temporal Integration In Deep Speech Recognition Systems}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28735},
}

@inproceedings{neurips2021_meta_62903,
  title = {{Meta Learning Backpropagation And Improving It}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27083},
}

@inproceedings{iclr2023_the_33160,
  title = {{The Influence of Learning Rule on Representation Dynamics in Wide Neural Networks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/11524},
}

@inproceedings{cvpr2025_stinr_27553,
  title = {{STINR: Deciphering Spatial Transcriptomics via Implicit Neural Representation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33997},
}

@inproceedings{iclr2024_epitopological_35016,
  title = {{Epitopological learning and Cannistraci-Hebb network shape intelligence brain-inspired theory for ultra-sparse advantage in deep learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18058},
}

@inproceedings{icml2026_biotoken_52415,
  title = {{BioToken and BioFM – Biologically-Informed Tokenization Enables Accurate and Efficient Genomic Foundation Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=Vmt2iPfH5z},
}

@inproceedings{icml2025_scaling_47610,
  title = {{Scaling Laws for Task-Optimized Models of the Primate Visual Ventral Stream}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44987},
}

@inproceedings{neurips2024_reproducibility_72471,
  title = {{Reproducibility of predictive networks for mouse visual cortex}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94888},
}

@inproceedings{iclr2025_what_81253,
  title = {{What should a neuron aim for? Designing local objective functions based on information theory}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30518},
}

@inproceedings{cvpr2025_glianet_26438,
  title = {{GliaNet: Adaptive Neural Network Structure Learning with Glia-Driven}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32824},
}

@inproceedings{neurips2024_fmri_72593,
  title = {{fMRI predictors based on language models of increasing complexity recover brain left lateralization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94784},
}

@inproceedings{neurips2025_disentangling_75032,
  title = {{Disentangling Superpositions: Interpretable Brain Encoding Model with Sparse Concept Atoms}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=3aNvX9TQTo},
}

@inproceedings{icml2024_implicit_45472,
  title = {{Implicit Regularization in Feedback Alignment Learning Mechanisms for Neural Networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32979},
}

@inproceedings{icml2025_can_48543,
  title = {{Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44078},
}

@inproceedings{icml2026_ai_51862,
  title = {{AI Engram: In Search of Memory Traces in Artificial Intelligence}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=QZO3oby12w},
}

@inproceedings{neurips2024_dual_71641,
  title = {{Dual-Perspective Activation: Efficient Channel Denoising via Joint Forward-Backward Criterion for Artificial Neural Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95636},
}

@inproceedings{neurips2025_anatomically_75535,
  title = {{Anatomically inspired digital twins capture hierarchical object representations in visual cortex}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=9DbkBqvuCI},
}

@inproceedings{neurips2025_brain_76908,
  title = {{Brain network science modelling of sparse neural networks enables Transformers and LLMs to perform as fully connected}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=OM0Qkq9xtY},
}

@inproceedings{neurips2025_jacobian_76967,
  title = {{Jacobian-Based Interpretation of Nonlinear Neural Encoding Model}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=P37GIj4wB7},
}

@inproceedings{neurips2025_dimensionality_78562,
  title = {{Dimensionality Mismatch Between Brains and Artificial Neural Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=fyp34w19N2},
}

@inproceedings{iclr2025_neurflow_81506,
  title = {{NeurFlow: Interpreting Neural Networks through Neuron Groups and Functional Interactions}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30270},
}

@inproceedings{aaai2025_training_11091,
  title = {{Training Verification-Friendly Neural Networks via Neuron Behavior Consistency}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32614},
}

@inproceedings{icml2026_functional_52631,
  title = {{Functional building blocks of neural networks: from network motifs to collective dynamics}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=XiENNDAYNR},
}