% Key papers for Sparse efficient spiking sequence models (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{neurips2018_long_57345, title = {{Long short-term memory and Learning-to-learn in networks of spiking neurons}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2018}, url = {https://nips.cc/virtual/2018/poster/11101}, } @inproceedings{iclr2021_learning_30502, title = {{Learning to live with Dale's principle: ANNs with separate excitatory and inhibitory units}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2021}, url = {https://iclr.cc/virtual/2021/poster/3014}, } @inproceedings{aaai2023_complex_3290, title = {{Complex Dynamic Neurons Improved Spiking Transformer Network for Efficient Automatic Speech Recognition}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2023}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/25081}, } @inproceedings{neurips2023_neural_67275, title = {{Neural Data Transformer 2: Multi-context Pretraining for Neural Spiking Activity}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2023}, url = {https://nips.cc/virtual/2023/poster/72443}, } @inproceedings{neurips2023_parallel_69631, title = {{Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2023}, url = {https://nips.cc/virtual/2023/poster/70305}, } @inproceedings{aaai2025_spikingssms_10823, title = {{SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/34245}, } @inproceedings{aaai2023_deep_3429, title = {{Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2023}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/25073}, } @inproceedings{icml2024_towards_44947, title = {{Towards efficient deep spiking neural networks construction with spiking activity based pruning}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/33505}, } @inproceedings{neurips2022_biologically_66514, title = {{Biologically plausible solutions for spiking networks with efficient coding}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2022}, url = {https://nips.cc/virtual/2022/poster/52989}, } @inproceedings{neurips2022_ltmd_64257, title = {{LTMD: Learning Improvement of Spiking Neural Networks with Learnable Thresholding Neurons and Moderate Dropout}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2022}, url = {https://nips.cc/virtual/2022/poster/54330}, } @inproceedings{neurips2024_feel_72339, title = {{FEEL-SNN: Robust Spiking Neural Networks with Frequency Encoding and Evolutionary Leak Factor}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/95008}, } @inproceedings{neurips2023_evolving_66705, title = {{Evolving Connectivity for Recurrent Spiking Neural Networks}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2023}, url = {https://nips.cc/virtual/2023/poster/72923}, } @inproceedings{neurips2023_sparseprop_70053, title = {{SparseProp: Efficient Event-Based Simulation and Training of Sparse Recurrent Spiking Neural Networks}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2023}, url = {https://nips.cc/virtual/2023/poster/69919}, } @inproceedings{iclr2024_sparse_33469, title = {{Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2024}, url = {https://iclr.cc/virtual/2024/poster/19606}, } @inproceedings{neurips2025_multiplication_75152, title = {{Multiplication-Free Parallelizable Spiking Neurons with Efficient Spatio-Temporal Dynamics}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=4q5ZYP0ynu}, } @inproceedings{aaai2020_biologically_100358, title = {{Biologically Plausible Sequence Learning with Spiking Neural Networks}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2020}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/5487}, } @inproceedings{iclr2023_heterogeneous_32562, title = {{Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2023}, url = {https://iclr.cc/virtual/2023/poster/11083}, } @inproceedings{icml2024_autaptic_45183, title = {{Autaptic Synaptic Circuit Enhances Spatio-temporal Predictive Learning of Spiking Neural Networks}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/33269}, } @inproceedings{neurips2022_emergence_65464, title = {{Emergence of Hierarchical Layers in a Single Sheet of Self-Organizing Spiking Neurons}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2022}, url = {https://nips.cc/virtual/2022/poster/53651}, } @inproceedings{neurips2023_eicil_67953, title = {{EICIL: Joint Excitatory Inhibitory Cycle Iteration Learning for Deep Spiking Neural Networks}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2023}, url = {https://nips.cc/virtual/2023/poster/71819}, } @inproceedings{neurips2024_long_72959, title = {{Long-Range Feedback Spiking Network Captures Dynamic and Static Representations of the Visual Cortex under Movie Stimuli}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/94454}, } @inproceedings{neurips2025_hetsyn_77882, title = {{HetSyn: Versatile Timescale Integration in Spiking Neural Networks via Heterogeneous Synapses}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=YYz4fumVed}, } @inproceedings{icml2025_efficient_46799, title = {{Efficient Parallel Training Methods for Spiking Neural Networks with Constant Time Complexity}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2025}, url = {https://icml.cc/virtual/2025/poster/45776}, } @inproceedings{neurips2026_longspike_94339, title = {{LongSpike: Fractional Order Spiking State Space Models for Efficient Long Sequence Learning}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2026}, url = {https://neurips.cc/virtual/2026/poster/150236}, } @inproceedings{iclr2024_dynamic_34096, title = {{Dynamic Neural Response Tuning}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2024}, url = {https://iclr.cc/virtual/2024/poster/18979}, }