Current Publications
2024
1. Wischnewski, M., Tran, H., Zhao, Z., Shirinpour, S., Haigh, Z. J., Rotteveel, J., Perera, N. D., Alekseichuk, I., Zimmermann, J., & Opitz, A. (2024). Induced neural phase precession through exogenous electric fields. Nature communications, 15(1), Article 1687. https://doi.org/10.1038/s41467-024-45898-5
2. Manea, A. M. G., Maisson, D. J. N., Voloh, B., Zilverstand, A., Hayden, B., & Zimmermann, J. (2024). Neural timescales reflect behavioral demands in freely moving rhesus macaques. Nature communications, 15(1), Article 2151. https://doi.org/10.1038/s41467-024-46488-1
2023
1. Mantell, K. E., Perera, N. D., Shirinpour, S., Puonti, O., Xu, T., Zimmermann, J., Falchier, A., Heilbronner, S. R., Thielscher, A., & Opitz, A. (2023). Anatomical details affect electric field predictions for non-invasive brain stimulation in non-human primates. NeuroImage, 279, Article 120343. https://doi.org/10.1016/j.neuroimage.2023.120343
2. Voloh, B., Maisson, D. J. N., Cervera, R. L., Conover, I., Zambre, M., Hayden, B., & Zimmermann, J. (2023). Hierarchical action encoding in prefrontal cortex of freely moving macaques. Cell reports, 42(9), Article 113091. https://doi.org/10.1016/j.celrep.2023.113091
3. Maisson, D. J. N., Cervera, R. L., Voloh, B., Conover, I., Zambre, M., Zimmermann, J., & Hayden, B. Y. (2023). Widespread coding of navigational variables in prefrontal cortex. Current Biology, 33(16), 3478-3488.e3. https://doi.org/10.1016/j.cub.2023.07.024
4. Bala, P., Zimmermann, J., Park, H. S., & Hayden, B. Y. (2023). Self-supervised Secondary Landmark Detection via 3D Representation Learning. International Journal of Computer Vision, 131(8), 1980-1994. https://doi.org/10.1007/s11263-023-01804-y
5. Fine, J. M., Maisson, D. J. N., Michael Yoo, S. B., Cash-Padgett, T. V., Wang, M. Z., Zimmermann, J., & Hayden, B. Y. (2023). Abstract Value Encoding in Neural Populations But Not Single Neurons. Journal of Neuroscience, 43(25), 4650-4663. https://doi.org/10.1523/JNEUROSCI.1954-22.2023
6. Gordon, E. M., Chauvin, R. J., Van, A. N., Rajesh, A., Nielsen, A., Newbold, D. J., Lynch, C. J., Seider, N. A., Krimmel, S. R., Scheidter, K. M., Monk, J., Miller, R. L., Metoki, A., Montez, D. F., Zheng, A., Elbau, I., Madison, T., Nishino, T., Myers, M. J., ... Dosenbach, N. U. F. (2023). A somato-cognitive action network alternates with effector regions in motor cortex. Nature, 617(7960), 351-359. https://doi.org/10.1038/s41586-023-05964-2
7. Luxem, K., Sun, J. J., Bradley, S. P., Krishnan, K., Yttri, E., Zimmermann, J., Pereira, T. D., & Laubach, M. (2023). Open-source tools for behavioral video analysis: Setup, methods, and best practices. eLife, 12, Article e79305. https://doi.org/10.7554/elife.79305
8. Yao, Y., Bala, P., Mohan, A., Bliss-Moreau, E., Coleman, K., Freeman, S. M., Machado, C. J., Raper, J., Zimmermann, J., Hayden, B. Y., & Park, H. S. (2023). OpenMonkeyChallenge: Dataset and Benchmark Challenges for Pose Estimation of Non-human Primates. International Journal of Computer Vision, 131(1), 243-258. https://doi.org/10.1007/s11263-022-01698-2
9. Cushnie, A. K., Bullock, D. N., Manea, A. M. G., Tang, W., Zimmermann, J., & Heilbronner, S. R. (2023). The use of chemogenetic actuator ligands in nonhuman primate DREADDs-fMRI. Current Research in Neurobiology, 4, Article 100072. https://doi.org/10.1016/j.crneur.2022.100072
10. Desai, N., Bala, P. C., Richardson, R., Raper, J., Zimmermann, J., & Hayden, B. Y. (2023). OpenApePose, a database of annotated ape photographs for pose estimation. eLife, 12, Article RP86873. https://doi.org/10.7554/eLife.86873
2022
1. Cushnie, A. K., Bullock, D. N., Manea, A. M. G., Tang, W., Zimmermann, J., & Heilbronner, S. R. (2022). The use of chemogenetic actuator ligands in nonhuman primate DREADDs-fMRI. Current research in neurobiology, 4, 100072. https://doi.org/10.1016/j.crneur.2022.100072
2. Hayden, B. Y., Park, H. S., & Zimmermann, J. (2022). Automated pose estimation in primates. American journal of primatology, 84(10), [e23348]. https://doi.org/10.1002/ajp.23348
3. Grier, M. D., Yacoub, E., Adriany, G., Lagore, R. L., Harel, N., Zhang, R. Y., Lenglet, C., Uğurbil, K., Zimmermann, J., & Heilbronner, S. R. (2022). Ultra-high field (10.5T) diffusion-weighted MRI of the macaque brain. NeuroImage, 255, [119200]. https://doi.org/10.1016/j.neuroimage.2022.119200
4. Knaebe, B., Weiss, C. C., Zimmermann, J., & Hayden, B. Y. (2022). The Promise of Behavioral Tracking Systems for Advancing Primate Animal Welfare. Animals, 12(13), [1648]. https://doi.org/10.3390/ani12131648
5. Manea, A. M. G., Zilverstand, A., Ugurbil, K., Heilbronner, S. R., & Zimmermann, J. (2022). Intrinsic timescales as an organizational principle of neural processing across the whole rhesus macaque brain. eLife, 11, [e75540]. https://doi.org/10.7554/eLife.75540
6. Kerber, A., Schultze, M., Müller, S., Rühling, R. M., Wright, A. G. C., Spitzer, C., Krueger, R. F., Knaevelsrud, C., & Zimmermann, J. (2022). Development of a Short and ICD-11 Compatible Measure for DSM-5 Maladaptive Personality Traits Using Ant Colony Optimization Algorithms. Assessment, 29(3), 467–487. https://doi.org/10.1177/1073191120971848
2021
1. Maisson, D. J. N., Cash-Padgett, T. V., Wang, M. Z., Hayden, B. Y., Heilbronner, S. R., & Zimmermann, J. (2021). Choice-relevant information transformation along a ventrodorsal axis in the medial prefrontal cortex. Nature communications, 12(1), Article 4830. https://doi.org/10.1038/s41467-021-25219-w
2. Autio, J. A., Zhu, Q., Li, X., Glasser, M. F., Schwiedrzik, C. M., Fair, D. A., Zimmermann, J., Yacoub, E., Menon, R. S., Van Essen, D. C., Hayashi, T., Russ, B., & Vanduffel, W. (2021). Minimal specifications for non-human primate MRI: Challenges in standardizing and harmonizing data collection. NeuroImage, 236, Article 118082. https://doi.org/10.1016/j.neuroimage.2021.118082, https://doi.org/10.1016/j.neuroimage.2021.118082
3. Lagore, R. L., Moeller, S., Zimmermann, J., DelaBarre, L., Radder, J., Grant, A., Ugurbil, K., Yacoub, E., Harel, N., & Adriany, G. (2021). An 8-dipole transceive and 24-loop receive array for non-human primate head imaging at 10.5 T. NMR in biomedicine, 34(4), Article e4472. https://doi.org/10.1002/nbm.4472
2020
1. Bala, P. C., Eisenreich, B. R., Yoo, S. B. M., Hayden, B. Y., Park, H. S., & Zimmermann, J. (2020). Automated markerless pose estimation in freely moving macaques with OpenMonkeyStudio. Nature communications, 11(1), Article 4560. https://doi.org/10.1038/s41467-020-18441-5
2. Yacoub, E., Grier, M. D., Auerbach, E. J., Lagore, R. L., Harel, N., Adriany, G., Zilverstand, A., Hayden, B. Y., Heilbronner, S. R., Uğurbil, K., & Zimmermann, J. (2020). Ultra-high field (10.5 T) resting state fMRI in the macaque. NeuroImage, 223, Article 117349. https://doi.org/10.1016/j.neuroimage.2020.117349
3. Grier, M. D., Zimmermann, J., & Heilbronner, S. R. (2020). Estimating Brain Connectivity With Diffusion-Weighted Magnetic Resonance Imaging: Promise and Peril. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 5(9), 846-854. https://doi.org/10.1016/j.bpsc.2020.04.009