Large-scale brain-wide neural recording in nonhuman primates

Kavli Affiliate: Mark Churchland, Michael Shadlen | Authors: Eric M. Trautmann, Janis K. Hesse, Gabriel M. Stine, Ruobing Xia, Shude Zhu, Daniel J. O’Shea, Bill Karsh, Jennifer Colonell, Frank F. Lanfranchi, Saurabh Vyas, Andrew Zimnik, Natalie A. Steinmann, Daniel A. Wagenaar, Alexandru Andrei, Carolina Mora Lopez, John O’Callaghan, Jan Putzeys, Bogdan C. Raducanu, Marleen Welkenhuysen, […]


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Seeing is Believing: Brain-Inspired Modular Training for Mechanistic Interpretability

Kavli Affiliate: Max Tegmark | First 5 Authors: Ziming Liu, Eric Gan, Max Tegmark, , | Summary: We introduce Brain-Inspired Modular Training (BIMT), a method for making neural networks more modular and interpretable. Inspired by brains, BIMT embeds neurons in a geometric space and augments the loss function with a cost proportional to the length […]


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Correcting for Interference in Experiments: A Case Study at Douyin

Kavli Affiliate: Huawei Zhang | First 5 Authors: Vivek F. Farias, Hao Li, Tianyi Peng, Xinyuyang Ren, Huawei Zhang | Summary: Interference is a ubiquitous problem in experiments conducted on two-sided content marketplaces, such as Douyin (China’s analog of TikTok). In many cases, creators are the natural unit of experimentation, but creators interfere with each […]


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