| Impact of network structure and cellular response on spike time correlations J Trousdale, Y Hu, E Shea-Brown, K Josić PLoS computational biology 8 (3), e1002408, 2012 | 210 | 2012 |
| Brain-wide organization of neuronal activity and convergent sensorimotor transformations in larval zebrafish X Chen, Y Mu, Y Hu, AT Kuan, M Nikitchenko, O Randlett, AB Chen, ... Neuron 100 (4), 876-890. e5, 2018 | 194 | 2018 |
| Structured odorant response patterns across a complete olfactory receptor neuron population G Si, JK Kanwal, Y Hu, CJ Tabone, J Baron, M Berck, G Vignoud, ... Neuron 101 (5), 950-962. e7, 2019 | 110 | 2019 |
| Motif statistics and spike correlations in neuronal networks Y Hu, J Trousdale, K Josić, E Shea-Brown Journal of Statistical Mechanics: Theory and Experiment 2013 (03), P03012, 2013 | 101 | 2013 |
| The sign rule and beyond: boundary effects, flexibility, and noise correlations in neural population codes Y Hu, J Zylberberg, E Shea-Brown PLoS computational biology 10 (2), e1003469, 2014 | 85 | 2014 |
| From the statistics of connectivity to the statistics of spike times in neuronal networks GK Ocker, Y Hu, MA Buice, B Doiron, K Josić, R Rosenbaum, ... Current opinion in neurobiology 46, 109-119, 2017 | 74 | 2017 |
| Local paths to global coherence: cutting networks down to size.. 2014;(3): 032802| Y Hu, J Trousdale, K Josić, E Shea-Brown Phys Rev E Stat Nonlin Soft Matter Phys 89, 0 | 55* | |
| The spectrum of covariance matrices of randomly connected recurrent neuronal networks with linear dynamics Y Hu, H Sompolinsky PLoS computational biology 18 (7), e1010327, 2022 | 52 | 2022 |
| Feedback through graph motifs relates structure and function in complex networks Y Hu, SL Brunton, N Cain, S Mihalas, JN Kutz, E Shea-Brown Physical Review E 98 (6), 062312, 2018 | 38 | 2018 |
| An optofluidic platform for interrogating chemosensory behavior and brainwide neural representation in larval zebrafish SKH Sy, DCW Chan, RCH Chan, J Lyu, Z Li, KKY Wong, CHJ Choi, ... Nature Communications 14 (1), 227, 2023 | 16 | 2023 |
| A generative spike train model with time-structured higher order correlations J Trousdale, Y Hu, E Shea-Brown, K Josić Frontiers in computational neuroscience 7, 84, 2013 | 16 | 2013 |
| Mapping effective connectivity by virtually perturbing a surrogate brain Z Luo, K Peng, Z Liang, S Cai, C Xu, D Li, Y Hu, C Zhou, Q Liu Nature Methods, 1-10, 2025 | 15 | 2025 |
| The geometry and dimensionality of brain-wide activity Z Wang, W Mai, Y Chai, K Qi, H Ren, C Shen, S Zhang, G Tan, Y Hu, ... eLife 14, RP100666, 2025 | 10 | 2025 |
| The visuomotor transformations underlying target-directed behavior P Zhao, Y Tong, IP Lazarte, B Khan, G Tian, KKY Chen, TKC Lam, Y Hu, ... Proceedings of the National Academy of Sciences 122 (13), e2416215122, 2025 | 7 | 2025 |
| Learning Linear Polytree Structural Equation Models X Lou, Y Hu, X Li Transactions on Machine Learning Research, 2025 | 4* | 2025 |
| Covariance spectrum in nonlinear recurrent neural networks X Shen, Y Hu arXiv preprint arXiv:2508.05288, 2025 | 2 | 2025 |
| Pallium-encoded valence-specific chemosensory amplification of eye-body coordination in larval zebrafish SKH Sy, DCW Chan, JJ Zhang, J Lyu, C Feng, K Wang, VCT Mok, ... Biorxiv, 2024.10. 27.620486, 2024 | 1 | 2024 |
Eric Shea-BrownApplied Mathematics, University of WashingtonVerified email at uw.edu
