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 9 | Deep compressive autoencoder for action potential compression in large-scale neural recording | Journal of neural engineering 15.6 (2018): 066019 | 杨知教授组的文章，使用autoencoder来做神经信号压缩，性能很好 | 做神经信号压缩和量化的同学必读，并且可以作为对比的baseline | 孙彪 | [点此下载](https://iopscience.iop.org/article/10.1088/1741-2552/aae18d/meta)
 10 | Sparse Bayesian Learning for End-to-End EEG Decoding | IEEE Transactions on Pattern Analysis and Machine Intelligence 45.12 (2023): 15632-15649 | David Wipf是SBL的创始人，他把SBL用在EEG信号解码上 | 神经解码方向同学必读，可以考虑把SBL做成电路 | 孙彪 | [点此下载](https://ieeexplore.ieee.org/abstract/document/10197212)
 11 | Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Constraints for EEG-Based Emotion Recognition | Proceedings of the AAAI Conference on Artificial Intelligence 38.9 (2024): 10252-10260 | 将生成对抗网络用于脑电信号数据扩增，并解决脑电信号情绪识别中情绪类别数据不平衡问题 | 由于EEG数据采集过程较为费时，导致可用的EEG数据有限，这是一种创新的数据增强方法 | 曹力文 | [点此下载](https://ojs.aaai.org/index.php/AAAI/article/view/28891/29694)
+12 | A 32-ch Neuromodulator with redundant Voltage Monitors avoiding Blocking Capacitors | ESSCIRC 2022- IEEE 48th European Solid State Circuits Conference (ESSCIRC), Milan, Italy, 2022, pp. 201-204. | 提出了一种32通道神经调制器，采用了一种新的安全机制 | 该研究能够在无需阻断电容的情况下避免直流电流对组织的潜在损害，同时优化了系统的灵活性和功能 | 方立志 | [点此下载](https://ieeexplore.ieee.org/document/9911370/)