论文
| • Wang, Z.#, Mai, W. #, Chai, Y. #, Qi, K., Ren, H., Shen, C., Zhang, S., Hu, Y.*, Wen, Q*. (2025) The Geometry and Dimensionality of Brain-wide Activity. eLife. : |
| • Zhao, P., Tong, Y., Lazarte, I., Khan, B., Lam, T., Hu, Y.*, Semmelhack, J. * (2025) The visuomotor transformations underlying target-directed behaviors. PNAS : |
| • Luo, Z., Peng, K., Liang, Z., Cai, S., Xu, C., Li, D., Hu, Y., Zhou, C., Liu, Q. (2025) Mapping effective connectivity by virtually perturbing a surrogate brain. Nat. Methods. : |
| • Lou, X., Hu, Y.*, Li, X. * (2025) Learning Linear Polytree Structural Equation Models. Trans. Mach. Learn. Res. : |
| • Sy, S., Chan, D., Chan, R.C.H., Lyu, J., Li, Z., Wong, K., Choi, C., Mok, V., Lai, H., Randlett, O., Hu, Y., Ko, H. (2023) An optofluidic platform for interrogating chemosensory behavior and brainwide neural representation in larval zebrafish. Nat. Commun. 14: 227. |
| • Hu, Y.*, Sompolinsky, H. * (2022) The spectrum of covariance matrices of randomly connected recurrent neuronal networks with linear dynamics. PLOS Comput. Biol. 18(7): |
| • Ocker, G. *, Hu, Y.*, Buice, M., Doiron, B., Josic, K., Rosenbaum, R., Shea-Brown, E. (2017) From the statistics of connectivity to the statistics of spike times in neuronal networks. Curr. Opin. Neurobiol. : 46 |
| • Si, G., Kanwal, J.K., Hu, Y., Tabone, C.J., Baron, J., Berck, M., Vignoud, G., Samuel, A.D.T. (2019) Structured Odorant Response Patterns across a Complete Olfactory Receptor Neuron Population. Neuron 101(5): |
| • Chen, X. *, Mu, Y. *, Hu, Y.*, Kuan, A. *, Nikitchenko, M., Randlett, O., Sompolinsky, H., Engert, F., Ahrens, M.B. (2018) Brain-wide organization of neuronal activity and convergent sensorimotor transformations in larval zebrafish. Neuron 100(4): |
| • Hu, Y., Brunton, S.L., Cain, N., Mihalas, S., Kutz, J.N., Shea-Brown, E. (2018) Feedback through graph motifs relates structure and function in complex networks. Phys. Rev. E 98(6): |
| • Hu, Y., Trousdale, J., Josic, K., Shea-Brown, E. (2014) Local paths to global coherence: cutting networks down to size. Phys. Rev. E 89(3): |
| • Hu, Y., Zylberberg, J., Shea-Brown, E. (2014) The sign rule and beyond: Boundary effects, flexibility, and optimal noise correlations in neural population codes. PLOS Comput. Biol. 10(2): |
| • Trousdale, J., Hu, Y., Shea-Brown, E., Josic, K. (2013) A generative spike train model with time-structured higher order correlations. Front. Comput. Neurosci. 7: 84. |
| • Hu, Y., Trousdale, J., Josic, K., Shea-Brown, E. (2013) Motif statistics and spike correlations in neuronal networks. J. Stat. Mech. 2013(3): |
| • Trousdale, J., Hu, Y., Shea-Brown, E., Josic, K. (2012) Impact of network structure and cellular response on spike time correlations. PLOS Comput. Biol. 8(3): |
