| Dynamics of current-based, poisson driven, integrate-and-fire neuronal networks KA Newhall, G Kovacic, PR Kramer, D Zhou, AV Rangan, D Cai | 53 | 2010 |
| Causal and structural connectivity of pulse-coupled nonlinear networks D Zhou, Y Xiao, Y Zhang, Z Xu, D Cai Physical review letters 111 (5), 054102, 2013 | 46 | 2013 |
| Granger causality network reconstruction of conductance-based integrate-and-fire neuronal systems D Zhou, Y Xiao, Y Zhang, Z Xu, D Cai PloS one 9 (2), e87636, 2014 | 43 | 2014 |
| Spatiotemporal dynamics of neuronal population response in the primary visual cortex D Zhou, AV Rangan, DW McLaughlin, D Cai Proceedings of the National Academy of Sciences 110 (23), 9517-9522, 2013 | 40 | 2013 |
| Modified models of polymer phase separation D Zhou, P Zhang, E Weinan Physical Review E 73 (6), 061801, 2006 | 40 | 2006 |
| Causal inference in nonlinear systems: Granger causality versus time-delayed mutual information S Li, Y Xiao, D Zhou, D Cai Physical Review E 97 (5), 052216, 2018 | 39 | 2018 |
| Dendritic computations captured by an effective point neuron model S Li, N Liu, X Zhang, DW McLaughlin, D Zhou, D Cai Proceedings of the National Academy of Sciences 116 (30), 15244-15252, 2019 | 33 | 2019 |
| Sparsity and compressed coding in sensory systems VJ Barranca, G Kovačič, D Zhou, D Cai PLoS computational biology 10 (8), e1003793, 2014 | 32 | 2014 |
| Spectrum of lyapunov exponents of non-smooth dynamical systems of integrate-and-fire type D Zhou, Y Sun, AV Rangan, D Cai Journal of Computational Neuroscience 28, 229-245, 2010 | 32 | 2010 |
| Library-based numerical reduction of the Hodgkin–Huxley neuron for network simulation Y Sun, D Zhou, AV Rangan, D Cai Journal of computational neuroscience 27, 369-390, 2009 | 24 | 2009 |
| Numerical simulation of phase separation coupled with crystallization D Zhou, AC Shi, P Zhang The Journal of chemical physics 129 (15), 2008 | 23 | 2008 |
| Computational neuroscience: a frontier of the 21st century XJ Wang, H Hu, C Huang, H Kennedy, CT Li, N Logothetis, ZL Lu, Q Luo, ... National science review 7 (9), 1418-1422, 2020 | 22 | 2020 |
| Pseudo-Lyapunov exponents and predictability of Hodgkin-Huxley neuronal network dynamics Y Sun, D Zhou, AV Rangan, D Cai Journal of computational neuroscience 28, 247-266, 2010 | 22 | 2010 |
| Network-induced chaos in integrate-and-fire neuronal ensembles D Zhou, AV Rangan, Y Sun, D Cai Physical Review E 80 (3), 031918, 2009 | 22 | 2009 |
| Bilinearity in spatiotemporal integration of synaptic inputs S Li, N Liu, X Zhang, D Zhou, D Cai PLoS computational biology 10 (12), e1004014, 2014 | 18 | 2014 |
| A coarse-grained framework for spiking neuronal networks: between homogeneity and synchrony J Zhang, D Zhou, D Cai, AV Rangan Journal of computational neuroscience 37, 81-104, 2014 | 18 | 2014 |
| Analysis of sampling artifacts on the Granger causality analysis for topology extraction of neuronal dynamics D Zhou, Y Zhang, Y Xiao, D Cai Frontiers in computational neuroscience 8, 75, 2014 | 18 | 2014 |
| Low-rank network decomposition reveals structural characteristics of small-world networks VJ Barranca, D Zhou, D Cai Physical Review E 92 (6), 062822, 2015 | 16 | 2015 |
| Distribution of correlated spiking events in a population-based approach for Integrate-and-Fire networks J Zhang, K Newhall, D Zhou, A Rangan Journal of computational neuroscience 36, 279-295, 2014 | 16 | 2014 |
| Phenomenological incorporation of nonlinear dendritic integration using integrate-and-fire neuronal frameworks D Zhou, S Li, X Zhang, D Cai PloS one 8 (1), e53508, 2013 | 16 | 2013 |
