REFERENCES
- Chang, C. H., S. A. Nastase, and U. Hasson. 2022. Information flow across the cortical timescale hierarchy during narrative construction. Proceedings of the National Academy of Sciences of the United States of America 119 (51):e2209307119. doi:10.1073/pnas.2209307119.
- Hoffman, S., and A. Podgurski. 2019. Artificial intelligence and discrimination in health care. Yale Journal of Health Policy and Ethics 19:1.
- Kay, K. N., T. Naselaris, R. J. Prenger, and J. L. Gallant. 2008. Identifying natural images from human brain activity. Nature 452 (7185):352–5. doi:10.1038/nature06713.
- Hosny, A., C. Parmar, J. Quackenbush, L. H. Schwartz, and H. J. Aerts. 2018. Artificial intelligence in radiology. Nature Reviews Cancer 18 (8):500–10. doi:10.1038/s41568-018-0016-5.
- Nissenbaum, H. 2010. Privacy in context: Technology, policy, and the integrity of social life. Stanford: Stanford Law Books.
- Susser, D., and L. Y. Cabrera. 2024. Brain data in context: Are new rights the way to mental and brain privacy? AJOB Neuroscience 15 (2):122–133. doi:10.1080/21507740.2023.2188275.
- Wickenheiser, R. A. 2019. Forensic genealogy, bioethics and the Golden State Killer case. Forensic Science International. Synergy 1:114–25. doi:10.1016/j.fsisyn.2019.07.003.
- Yuste, R. 2023. Advocating for neurodata privacy and neurotechnology regulation. Nature Protocols 18 (10):2869–75. doi:10.1038/s41596-023-00873-0.