Published in arXiv, 2024
Recommended citation: Cross, L., Xiang, V., Haber, N., & Yamins, D. (2024). Hypothetical Minds: Scaffolding Theory of Mind for Multi-Agent Tasks with Large Language Models. arXiv preprint arXiv:2407.07086. https://arxiv.org/abs/2407.07086
Published in Proceedings of the Annual Meeting of the Cognitive Science Society, 2024
Recommended citation: Cross, L., Xiang, V., Haber, N., \& Yamins, D. (2024). Animate Agent World Modeling Benchmark. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 46). https://escholarship.org/uc/item/7r41x81m
Published in arXiv, 2023
Recommended citation: Xiang, V., Cross, L., Fränken, J. P., & Haber, N. (2023). From Centralized to Self-Supervised: Pursuing Realistic Multi-Agent Reinforcement Learning. arXiv preprint arXiv:2312.08662. https://arxiv.org/abs/2312.08662
Published in Nature Communications, 2023
Recommended citation: Pool, E. R., Pauli, W. M., Cross, L., & O’Doherty, J. P. (2023). Neural substrates of parallel devaluation-sensitive and devaluation-insensitive Pavlovian learning in humans. Nature Communications, 14(1), 8057. https://www.nature.com/articles/s41467-023-43747-5
Published in Proceedings of the Annual Meeting of the Cognitive Science Society, 2023
Recommended citation: Binder, F. J., Cross, L. M., Friedman, Y., Hawkins, R., Yamins, D. L., & Fan, J. E. (2023). Advancing cognitive science and AI with Cognitive-AI Benchmarking. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 45, No. 45). https://escholarship.org/uc/item/5v56249j
Published in Nature Communications, 2023
Recommended citation: Iigaya, K., Yi, S., Wahle, I. A., Tanwisuth, S., Cross, L., & O’Doherty, J. P. (2023). Neural mechanisms underlying the hierarchical construction of perceived aesthetic value. Nature Communications, 14(1), 127. https://www.nature.com/articles/s41467-022-35654-y
Published in Neuron, 2021
Recommended citation: Cross, L., Cockburn, J., Yue, Yisong, & O’Doherty, J.P. (2021). Using deep reinforcement learning to reveal how the brain encodes abstract state-space representations in high-dimensional environments. Neuron, 109(4), 724-738. https://doi.org/10.1016/j.neuron.2020.11.021. https://www.cell.com/neuron/fulltext/S0896-6273(20)30899-0
Published in Journal of Neuroscience, 2020
Recommended citation: Qi, S., Cross, L., Wise, T., Sui, X., O’Doherty, J., & Mobbs, D. (2024). The role of the medial prefrontal cortex in spatial margin of safety calculations. Journal of Neuroscience, 44(34). https://www.jneurosci.org/content/44/34/e1162222024
Published in Nature Neuroscience, 2017
Recommended citation: Suzuki, S., Cross, L. & O’Doherty, J.P. (2017). Elucidating the underlying components of food valuation in the human orbitofrontal cortex. Nature Neuroscience 20, 1780–1786. https://doi.org/10.1038/s41593-017-0008-x https://www.nature.com/articles/s41593-017-0008-x