| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ... arXiv preprint arXiv:2312.11805, 2023 | 467 | 2023 |
| FlyWire: online community for whole-brain connectomics S Dorkenwald, CE McKellar, T Macrina, N Kemnitz, K Lee, R Lu, J Wu, ... Nature methods 19 (1), 119-128, 2022 | 151 | 2022 |
| Mice alternate between discrete strategies during perceptual decision-making ZC Ashwood, NA Roy, IR Stone, International Brain Laboratory, AE Urai, ... Nature Neuroscience 25 (2), 201-212, 2022 | 125* | 2022 |
| Opponent control of behavior by dorsomedial striatal pathways depends on task demands and internal state SS Bolkan, IR Stone, L Pinto, ZC Ashwood, JM Iravedra Garcia, ... Nature neuroscience 25 (3), 345-357, 2022 | 45* | 2022 |
| New evidence on information disclosure through restaurant hygiene grading DE Ho, ZC Ashwood, C Handan-Nader American Economic Journal: Economic Policy 11 (4), 404-428, 2019 | 29 | 2019 |
| Inferring learning rules from animal decision-making Z Ashwood, NA Roy, JH Bak, JW Pillow Advances in Neural Information Processing Systems 33, 3442-3453, 2020 | 25 | 2020 |
| Dynamic inverse reinforcement learning for characterizing animal behavior Z Ashwood, A Jha, JW Pillow Advances in Neural Information Processing Systems 35, 29663-29676, 2022 | 19 | 2022 |
| 3D reconstruction of cell nuclei in a full Drosophila brain S Mu, S Yu, NL Turner, CE McKellar, S Dorkenwald, F Collman, ... bioRxiv, 2021.11. 04.467197, 2021 | 16 | 2021 |
| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ... arXiv preprint arXiv:2403.05530, 2024 | 8 | 2024 |
| Bayesian Active Learning for Discrete Latent Variable Models A Jha, ZC Ashwood, JW Pillow arXiv preprint arXiv:2202.13426, 2022 | 2 | 2022 |
| Improving the Reliability of Food Safety Disclosure: Restaurant Grading in Seattle and King County, Washington. ZC Ashwood, B Elias, DE Ho Journal of environmental health 84 (2), 2021 | 1 | 2021 |
| Active Learning for Discrete Latent Variable Models A Jha, ZC Ashwood, JW Pillow Neural Computation 36 (3), 437-474, 2024 | | 2024 |
| Identifying the factors governing internal state switches during nonstationary sensory decision-making Z Mohammadi, ZC Ashwood, International Brain Laboratory, JW Pillow bioRxiv, 2024.02. 02.578482, 2024 | | 2024 |
| Probabilistic Models for Characterizing Animal Learning and Decision-Making ZC Ashwood Princeton University, 2022 | | 2022 |
| Identifying latent states in decision-making from cortical inactivation data Z Mohammadi, ZC Ashwood, L Pinto, DW Tank, CD Brody, JW Pillow laser 1 (2), 3, 0 | | |
