Grossman Center for the Statistics of Mind

Displaying 1 - 17 of 17CSV
Trautmann, E. M., Hesse, J. K., Stine, G. M., Xia, R., Zhu, S., O’Shea, D. J., Karsh, B., Colonell, J., Lanfranchi, F. F., Vyas, S., Zimnik, A., Amematsro, E., Steinemann, N. A., Wagenaar, D. A., Pachitariu, M., Andrei, A., Lopez, C. M., O’Callaghan, J., Putzeys, J., … Harris, T. (2025). Large-scale high-density brain-wide neural recording in nonhuman primates. Nature Neuroscience. https://doi.org/10.1038/s41593-025-01976-5
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Windolf, C., Yu, H., Paulk, A. C., Meszéna, D., Muñoz, W., Boussard, J., Hardstone, R., Caprara, I., Jamali, M., Kfir, Y., Xu, D., Chung, J. E., Sellers, K. K., Ye, Z., Shaker, J., Lebedeva, A., Raghavan, R., Trautmann, E., Melin, M., … Varol, E. (2025). DREDge: robust motion correction for high-density extracellular recordings across species. Nature Methods. https://doi.org/10.1038/s41592-025-02614-5
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Perkins, S. M., Amematsro, E. A., Cunningham, J., Wang, Q., & Churchland, M. M. (2025). An emerging view of neural geometry in motor cortex supports high-performance decoding. ELife, 12. CLOCKSS. https://doi.org/10.7554/elife.89421
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Lippl, S., Kay, K., Jensen, G., Ferrera, V. P., & Abbott, L. F. (2024). A mathematical theory of relational generalization in transitive inference. Proceedings of the National Academy of Sciences, 121(28). https://doi.org/10.1073/pnas.2314511121
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Kay, K., Biderman, N., Khajeh, R., Beiran, M., Cueva, C. J., Shohamy, D., Jensen, G., Wei, X.-X., Ferrera, V. P., & Abbott, L. (2024). Emergent neural dynamics and geometry for generalization in a transitive inference task. PLOS Computational Biology, 20(4), e1011954. https://doi.org/10.1371/journal.pcbi.1011954
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Zhao, Z., Yu, H., Wisniewski, D. J., Cea, C., Ma, L., Trautmann, E. M., Churchland, M. M., Gelinas, J. N., & Khodagholy, D. (2024). Formation of Anisotropic Conducting Interlayer for High‐Resolution Epidermal Electromyography Using Mixed‐Conducting Particulate Composite. Advanced Science, 11(27). Portico. https://doi.org/10.1002/advs.202308014
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Coughlin, B., Muñoz, W., Kfir, Y., Young, M. J., Meszéna, D., Jamali, M., Caprara, I., Hardstone, R., Khanna, A., Mustroph, M. L., Trautmann, E. M., Windolf, C., Varol, E., Soper, D. J., Stavisky, S. D., Welkenhuysen, M., Dutta, B., Shenoy, K. V., Hochberg, L. R., … Paulk, A. C. (2023). Modified Neuropixels probes for recording human neurophysiology in the operating room. Nature Protocols, 18(10), 2927–2953. https://doi.org/10.1038/s41596-023-00871-2
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Schaffer, E. S., Mishra, N., Whiteway, M. R., Li, W., Vancura, M. B., Freedman, J., Patel, K. B., Voleti, V., Paninski, L., Hillman, E. M. C., Abbott, L. F., & Axel, R. (2023). The spatial and temporal structure of neural activity across the fly brain. Nature Communications, 14(1). https://doi.org/10.1038/s41467-023-41261-2
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Stine, G. M., Trautmann, E. M., Jeurissen, D., & Shadlen, M. N. (2023). A neural mechanism for terminating decisions. Neuron, 111(16), 2601-2613.e5. https://doi.org/10.1016/j.neuron.2023.05.028
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Marshall, N. J., Glaser, J. I., Trautmann, E. M., Amematsro, E. A., Perkins, S. M., Shadlen, M. N., Abbott, L. F., Cunningham, J. P., & Churchland, M. M. (2022). Flexible neural control of motor units. Nature Neuroscience, 25(11), 1492–1504. https://doi.org/10.1038/s41593-022-01165-8
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Abe, T., Kinsella, I., Saxena, S., Buchanan, E. K., Couto, J., Briggs, J., Kitt, S. L., Glassman, R., Zhou, J., Paninski, L., & Cunningham, J. P. (2022). Neuroscience Cloud Analysis As a Service: An open-source platform for scalable, reproducible data analysis. Neuron, 110(17), 2771-2789.e7. https://doi.org/10.1016/j.neuron.2022.06.018
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Paulk, A. C., Kfir, Y., Khanna, A. R., Mustroph, M. L., Trautmann, E. M., Soper, D. J., Stavisky, S. D., Welkenhuysen, M., Dutta, B., Shenoy, K. V., Hochberg, L. R., Richardson, R. M., Williams, Z. M., & Cash, S. S. (2022). Large-scale neural recordings with single neuron resolution using Neuropixels probes in human cortex. Nature Neuroscience, 25(2), 252–263. https://doi.org/10.1038/s41593-021-00997-0
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Whiteway, M. R., Biderman, D., Friedman, Y., Dipoppa, M., Buchanan, E. K., Wu, A., Zhou, J., Bonacchi, N., Miska, N. J., Noel, J.-P., Rodriguez, E., Schartner, M., Socha, K., Urai, A. E., Salzman, C. D., Cunningham, J. P., & Paninski, L. (2021). Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders. PLOS Computational Biology, 17(9), e1009439. https://doi.org/10.1371/journal.pcbi.1009439
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Tekieli, T., Yemini, E., Nejatbakhsh, A., Wang, C., Varol, E., Fernandez, R. W., Masoudi, N., Paninski, L., & Hobert, O. (2021). Visualizing the organization and differentiation of the male-specific nervous system of C. elegans. Development. https://doi.org/10.1242/dev.199687
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