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4 | Multi-Channel Neural Recording Implants: A Review | Sensors 20.3 (2020): 904 | Sawan教授的植入式脑机接口电路综述，虽然发的期刊不好，但是里边的电路结构很有参考价值 | 做植入式脑机接口和模拟电路方向的同学必读 | 孙彪 | [点此下载](https://www.mdpi.com/1424-8220/20/3/904) | 4 | Multi-Channel Neural Recording Implants: A Review | Sensors 20.3 (2020): 904 | Sawan教授的植入式脑机接口电路综述，虽然发的期刊不好，但是里边的电路结构很有参考价值 | 做植入式脑机接口和模拟电路方向的同学必读 | 孙彪 | [点此下载](https://www.mdpi.com/1424-8220/20/3/904) |
5 | Decoding the Nature of Emotion in the Brain | Trends in cognitive sciences 20.6 (2016): 444-455 | 脑机接口情绪识别综述 | 做情绪识别的同学必读 | 孙彪 | [点此下载](https://www.cell.com/trends/cognitive-sciences/fulltext/S1364-6613(16)30004-3) | 5 | Decoding the Nature of Emotion in the Brain | Trends in cognitive sciences 20.6 (2016): 444-455 | 脑机接口情绪识别综述 | 做情绪识别的同学必读 | 孙彪 | [点此下载](https://www.cell.com/trends/cognitive-sciences/fulltext/S1364-6613(16)30004-3) |
6 | Machine Learning for Neural Decoding | Trends in cognitive sciences 20.6 (2016): 444-455 | 入门方法文章，介绍了常见机器学习方法用于神经解码的描述和代码 | 脑机接口方向同学必读 | 孙彪 | [点此下载](https://www.cell.com/trends/cognitive-sciences/abstract/S1364-6613(16)30004-3) | 6 | Machine Learning for Neural Decoding | Trends in cognitive sciences 20.6 (2016): 444-455 | 入门方法文章，介绍了常见机器学习方法用于神经解码的描述和代码 | 脑机接口方向同学必读 | 孙彪 | [点此下载](https://www.cell.com/trends/cognitive-sciences/abstract/S1364-6613(16)30004-3) |
7 | Deep learning approaches for neural decoding across architectures and recording modalities | Briefings in bioinformatics 22.2 (2021): 1577-1591 | 深度学习方法应用于神经解码的综述，介绍了RNN和CNN等方法 | 脑机接口方向同学必读 孙彪 | [点此下载](https://academic.oup.com/bib/article-abstract/22/2/1577/6054827) | 7 | Deep learning approaches for neural decoding across architectures and recording modalities | Briefings in bioinformatics 22.2 (2021): 1577-1591 | 深度学习方法应用于神经解码的综述，介绍了RNN和CNN等方法 | 脑机接口方向同学必读 | 孙彪 | [点此下载](https://academic.oup.com/bib/article-abstract/22/2/1577/6054827) |
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/) | 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) 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) 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)