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8 | A Neural Probe with Up to 966 Electrodes and Up to 384 Configurable Channels in 0.13um SOI CMOS | IEEE transactions on biomedical circuits and systems 11.3 (2017): 510-522 | Neuropixels的电路版本，和Nature文章同时发表的，讲述了很多电路实现方面的细节 | 我们后续研发感算一体电极时，单元设计可以参考该文章，尤其是一些电路方面的设计对我们很有启发 | 孙彪 | [点此下载](https://ieeexplore.ieee.org/abstract/document/7900417/) |
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)