| A theory of working memory without consciousness or sustained activity D Trübutschek, S Marti, A Ojeda, JR King, Y Mi, M Tsodyks, S Dehaene elife 6, e23871, 2017 | 127 | 2017 |
| Synaptic correlates of working memory capacity Y Mi, M Katkov, M Tsodyks Neuron 93 (2), 323-330, 2017 | 108 | 2017 |
| Pattern formation in oscillatory complex networks consisting of excitable nodes X Liao, Q Xia, Y Qian, L Zhang, G Hu, Y Mi Physical Review E 83 (5), 056204, 2011 | 64 | 2011 |
| Continuous attractor neural networks: candidate of a canonical model for neural information representation S Wu, KYM Wong, CCA Fung, Y Mi, W Zhang F1000Research 5, 2016 | 57 | 2016 |
| Solving the inverse problem of noise-driven dynamic networks Z Zhang, Z Zheng, H Niu, Y Mi, S Wu, G Hu Physical Review E 91 (1), 012814, 2015 | 55 | 2015 |
| Long-period rhythmic synchronous firing in a scale-free network Y Mi, X Liao, X Huang, L Zhang, W Gu, G Hu, S Wu Proceedings of the National Academy of Sciences 110 (50), E4931-E4936, 2013 | 51 | 2013 |
| Single-neuron representation of learned complex sounds in the auditory cortex M Wang, X Liao, R Li, S Liang, R Ding, J Li, J Zhang, W He, K Liu, J Pan, ... Nature communications 11 (1), 4361, 2020 | 42 | 2020 |
| Diverse self-sustained oscillatory patterns and their mechanisms in excitable small-world networks Y Qian, X Liao, X Huang, Y Mi, L Zhang, G Hu Physical Review E 82 (2), 026107, 2010 | 34 | 2010 |
| Oscillation sources and wave propagation paths in complex networks consisting of excitable nodes X Liao, Y Qian, Y Mi, Q Xia, X Huang, G Hu Frontiers of Physics in China 6, 124-132, 2011 | 29 | 2011 |
| Spike frequency adaptation implements anticipative tracking in continuous attractor neural networks Y Mi, CC Fung, KY Wong, S Wu Advances in neural information processing systems 27, 2014 | 28 | 2014 |
| Effects of time delay and coupling strength on synchronization transitions in excitable homogeneous random network Y Qian, Y Zhao, F Liu, X Huang, Z Zhang, Y Mi Communications in nonlinear science and numerical simulation 18 (12), 3509-3516, 2013 | 25 | 2013 |
| 25th annual computational neuroscience meeting: CNS-2016 TO Sharpee, A Destexhe, M Kawato, V Sekulić, FK Skinner, DK Wójcik, ... BMC neuroscience 17, 1-112, 2016 | 21 | 2016 |
| Complex networks with large numbers of labelable attractors Y Mi, L Zhang, X Huang, Y Qian, G Hu, X Liao Europhysics Letters 95 (5), 58001, 2011 | 21 | 2011 |
| Reconstruction of dynamic networks with time-delayed interactions in the presence of fast-varying noises Z Zhang, Y Chen, Y Mi, G Hu Physical Review E 99 (4), 042311, 2019 | 16 | 2019 |
| Recurrent neural networks made of magnetic tunnel junctions Q Zheng, X Zhu, Y Mi, Z Yuan, K Xia Aip Advances 10 (2), 2020 | 15 | 2020 |
| A brain-inspired computational model for spatio-temporal information processing X Lin, X Zou, Z Ji, T Huang, S Wu, Y Mi Neural Networks 143, 74-87, 2021 | 14 | 2021 |
| Dynamic information encoding with dynamic synapses in neural adaptation L Li, Y Mi, W Zhang, DH Wang, S Wu Frontiers in Computational Neuroscience 12, 16, 2018 | 14 | 2018 |
| Temporally coherent perturbation of neural dynamics during retention alters human multi-item working memory J Li, Q Huang, Q Han, Y Mi, H Luo Progress in Neurobiology 201, 102023, 2021 | 13 | 2021 |
| Network dynamics and its relationships to topology and coupling structure in excitable complex networks LS Zhang, WF Gu, G Hu, YY Mi Chinese Physics B 23 (10), 108902, 2014 | 13 | 2014 |
| Phase-locking behaviors in an ionic model of sinoatrial node cell and tissue X Huang, Y Mi, Y Qian, G Hu Physical Review E 83 (6), 061917, 2011 | 13 | 2011 |
Xuhong LiaoBeijing Normal UniversityVerified email at bnu.edu.cn
