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

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

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

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

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

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

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

DePasquale, B., Sussillo, D., Abbott, L. F., & Churchland, M. M. (2023). The centrality of population-level factors to network computation is demonstrated by a versatile approach for training spiking networks. Neuron, 111(5), 631-649.e10. https://doi.org/10.1016/j.neuron.2022.12.007

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

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

Chen, S., Loper, J., Zhou, P., & Paninski, L. (2022). Blind demixing methods for recovering dense neuronal morphology from barcode imaging data. PLOS Computational Biology, 18(4), e1009991. https://doi.org/10.1371/journal.pcbi.1009991

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

Schroeder, K. E., Perkins, S. M., Wang, Q., & Churchland, M. M. (2021). Cortical Control of Virtual Self-Motion Using Task-Specific Subspaces. The Journal of Neuroscience, 42(2), 220–239. https://doi.org/10.1523/jneurosci.2687-20.2021