[24] Brianna M Karpowicz, Yahia H Ali, Lahiru N Wimalasena, Andrew R Sedler, Mohammad Reza Keshtkaran, Kevin Bodkin, Xuan Ma, Lee E Miller, and Chethan Pandarinath. Stabilizing brain-computer interfaces through alignment of latent dynamics. bioRxiv, pages 2022-04, 2022.
[25] Da Li, Yongxin Yang, Yi-Zhe Song, and Timothy Hospedales. Learning to generalize: Meta-learning for domain generalization. In Proceedings of the AAAI conference on artificial intelligence, volume 32, 2018.
[26] Zheng Li, Joseph E O'Doherty, Mikhail A Lebedev, and Miguel AL Nicolelis. Adaptive decoding for brain-machine interfaces through bayesian parameter updates. Neural computation, 23(12):3162-3204, 2011.
[27] Xuan Ma, Fabio Rizzoglio, Eric J Perreault, Lee E Miller, and Ann Kennedy. Using adversarial networks to extend brain computer interface decoding accuracy over time. bioRxiv, pages 2022-08, 2022.
[28] Elon Musk et al. An integrated brain-machine interface platform with thousands of channels. Journal of medical Internet research, 21(10):e16194, 2019.
[29] Chethan Pandarinath and Sliman J Bensmaia. The science and engineering behind sensitized brain-controlled bionic hands. Physiological Reviews, 102(2):551-604, 2022.
[30] Chethan Pandarinath, Paul Nuyujukian, Christine H Blake, Brittany L Sorice, Jad Saab, Francis R Willett, Leigh R Hochberg, Krishna V Shenoy, and Jaimie M Henderson. High performance communication by people with paralysis using an intracortical brain-computer interface. *Elife*, 6:e18554, 2017.
[31] German I Parisi, Ronald Kemker, Jose L Part, Christopher Kanan, and Stefan Wermter. Continual lifelong learning with neural networks: A review. Neural networks, 113:54-71, 2019.
[32] Angelique C Paulk, Yoav Kfir, Arjun R Khanna, Martina L Mustroph, Eric M Trautmann, Dan J Soper, Sergey D Stavisky, Marleen Welkenhuysen, Barundeb Dutta, Krishna V Shenoy, et al. Large-scale neural recordings with single neuron resolution using Neuropixels probes in human cortex. Nature Neuroscience, 25(2):252-263, 2022.
[33] János A Perge, Mark L Homer, Wasim Q Malik, Sydney Cash, Emad Eskandar, Gerhard Friehs, John P Donoghue, and Leigh R Hochberg. Intra-day signal instabilities affect decoding performance in an intracortical neural interface system. Journal of neural engineering, 10(3):036004, 2013.
[34] Daniel Povey, Arnab Ghoshal, Gilles Boulianne, Lukas Burget, Ondrej Glembek, Nagendra Goel, Mirko Hannemann, Petr Motlicek, Yanmin Qian, Petr Schwarz, et al. The Kaldi speech recognition toolkit. In IEEE 2011 workshop on automatic speech recognition and understanding, number CONF. IEEE Signal Processing Society, 2011.
[35] Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al. Language models are unsupervised multitask learners. OpenAI blog, 1(8):9, 2019.
[36] Anthony Robins. Catastrophic forgetting, rehearsal and pseudorehearsal. _Connection Science_, 7(2):123-146, 1995.
[37] David Rolnick, Arun Ahuja, Jonathan Schwarz, Timothy Lillicrap, and Gregory Wayne. Experience replay for continual learning. Advances in Neural Information Processing Systems, 32, 2019.
[38] Shiori Sagawa, Pang Wei Koh, Tatsunori B Hashimoto, and Percy Liang. Distributionally robust neural networks for group shifts: On the importance of regularization for worst-case generalization. arXiv preprint arXiv:1911.08731, 2019.
[39] Kunal Sahasrabuddhe, Aamir A Khan, Aditya P Singh, Tyler M Stern, Yeena Ng, Aleksandar Tadić, Peter Orel, Chris LaReau, Daniel Pouzzner, Kurtis Nishimura, et al. The Argo: a high channel count recording system for neural recording in vivo. Journal of neural engineering, 18(1):015002, 2021.
[40] Gopal Santhanam, Michael D Linderman, Vikash Gilja, Afsheen Afshar, Stephen I Ryu, Teresa H Meng, and Krishna V Shenoy. HermesB: a continuous neural recording system for freely behaving primates. IEEE Transactions on Biomedical Engineering, 54(11):2037-2050, 2007.
[41] Baochen Sun and Kate Saenko. Deep coral: Correlation alignment for deep domain adaptation. In Computer Vision-ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part III 14, pages 443-450. Springer, 2016.
[42] Yu Sun, Xiaolong Wang, Zhuang Liu, John Miller, Alexei Efros, and Moritz Hardt. Test-time training with self-supervision for generalization under distribution shifts. In International conference on machine learning, pages 9229-9248. PMLR, 2020.