| 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 | 192 | 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 | 139 | 2018 |
| 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 | 88 | 2013 |
| 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 | 72 | 2019 |
| 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 | 72 | 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 | 60 | 2017 |
| Local paths to global coherence: Cutting networks down to size Y Hu, J Trousdale, K Josić, E Shea-Brown Physical Review E 89 (3), 032802, 2014 | 49 | 2014 |
| 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 | 32 | 2018 |
| 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 |
Eric Shea-BrownApplied Mathematics, University of WashingtonVerified email at uw.edu
