Yuanyuan Mi

发表

Anticipative tracking in two-dimensional continuous attractor neural networks

Si Wu, Qi Gao, Yan Xia, 2015, BMC Neuroscience.

Learning, Storing, and Disentangling Correlated Patterns in Neural Networks

Xiao Liu, Si Wu, Tiejun Huang, 2018, ICONIP.

25th Annual Computational Neuroscience Meeting: CNS-2016

Morten L. Kringelbach, Majid Nili Ahmadabadi, Anders M. Dale, 2016, BMC Neuroscience.

Spiking Continuous Attractor Neural Networks with Spike Frequency Adaptation for Anticipative Tracking

Si Wu, Zhao Zhao, Yuanyuan Mi, 2019, 2019 IEEE International Workshop on Future Computing (IWOFC.

Dynamics and formation of oscillatory patterns in complex directed networks consisting of excitable nodes

Yang Wang, Gang Hu, Xuhong Liao, 2012 .

Anticipative Tracking with the Short-Term Synaptic Plasticity of Spintronic Devices

Qi Zheng, Zhe Yuan, Xiaorui Zhu, 2020, 2005.02574.

A Synaptical Story of Persistent Activity with Graded Lifetime in a Neural System

Si Wu, Yuanyuan Mi, Dahui Wang, 2014, NIPS.

Spike Frequency Adaptation Implements Anticipative Tracking in Continuous Attractor Neural Networks

Si Wu, K. Y. Michael Wong, C. C. Alan Fung, 2014, NIPS.

Spatiotemporal Information Processing with a Reservoir Decision-making Network pdf

Si Wu, Tiejun Huang, Xiaolong Zou, 2019, ArXiv.

Push-pull Feedback Implements Hierarchical Information Retrieval Efficiently

Xiao Liu, Tiejun Huang, Si Wu, 2019, NeurIPS.

Attractive target wave patterns in complex networks consisting of excitable nodes

Yu Qian, Gang Hu, Xuhong Liao, 2014 .

Reconstruction of dynamic networks with time-delayed interactions in the presence of fast-varying noises.

Gang Hu, Yang Chen, Yuanyuan Mi, 2019, Physical review. E.

Control of Spiral Wave breakup by Spatiotemporal Modulation

Yu Qian, Xiaodong Huang, Yuanyuan Mi, 2011, Int. J. Bifurc. Chaos.

Dynamic Information Encoding With Dynamic Synapses in Neural Adaptation

Si Wu, Wenhao Zhang, Yuanyuan Mi, 2018, Front. Comput. Neurosci..

Recurrent neural networks made of magnetic tunnel junctions

Qi Zheng, Yuanyuan Mi, Ke Xia, 2019 .

Neural Computations in a Dynamical System with Multiple Time Scales

Si Wu, Yuanyuan Mi, Xiaohan Lin, 2016, Front. Comput. Neurosci..

Long-period rhythmic synchronous firing in a scale-free network

Si Wu, Weifeng Gu, Xuhui Huang, 2013, Proceedings of the National Academy of Sciences.

Network dynamics and its relationships to topology and coupling structure in excitable complex networks

Weifeng Gu, Yuanyuan Mi, Li-Sheng Zhang, 2014 .

Dynamical information encoding in neural adaptation

Si Wu, Wenhao Zhang, Yuanyuan Mi, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Neural Information Processing in Hierarchical Prototypical Networks

Xiao Liu, Si Wu, Tiejun Huang, 2018, ICONIP.

Pattern formation in oscillatory complex networks consisting of excitable nodes.

Yu Qian, Gang Hu, Xuhong Liao, 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.

Continuous Attractor Neural Networks: Candidate of a Canonical Model for Neural Information Representation

Si Wu, Yuanyuan Mi, Wenhao Zhang, 2016, F1000Research.

Spiral Dynamics in Excitable Medium induced by External periodic Modulation

Wei Li, Yu Qian, Zhaoyang Zhang, 2013, Int. J. Bifurc. Chaos.

Complex networks with large numbers of labelable attractors

Xiaodong Huang, Yu Qian, Gang Hu, 2011 .

Learning a Continuous Attractor Neural Network from Real Images

Xiao Liu, Si Wu, K. Y. Michael Wong, 2017, ICONIP.

Manipulating serial replay during memory retention rapidly alters human sequence memory

Huan Luo, Yuanyuan Mi, Qiaoli Huang, 2019, bioRxiv.

Effects of time delay and coupling strength on synchronization transitions in excitable homogeneous random network

Yuanyuan Mi, Xiaodong Huang, Zhaoyang Zhang, 2013, Commun. Nonlinear Sci. Numer. Simul..

A Neural Network Model With Gap Junction for Topological Detection

Si Wu, Yuanyuan Mi, Chaoming Wang, 2020, Frontiers in Computational Neuroscience.

A brain-inspired computational model for spatio-temporal information processing

Si Wu, Tiejun Huang, Xiaolong Zou, 2021, Neural Networks.

Solving the inverse problem of noise-driven dynamic networks.

Si Wu, Zhaoyang Zhang, Zhigang Zheng, 2015, Physical review. E, Statistical, nonlinear, and soft matter physics.

Synaptic Correlates of Working Memory Capacity

Mikhail Katkov, Misha Tsodyks, Yuanyuan Mi, 2017, Neuron.

Diverse self-sustained oscillatory patterns and their mechanisms in excitable small-world networks.

Yuanyuan Mi, Yu Qian, Xuhong Liao, 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.

A theory of working memory without consciousness or sustained activity

Misha Tsodyks, Stanislas Dehaene, Jean-Rémi King, 2016 .