研究方向
计算神经科学：神经信息处理的模型与机制
类脑计算：类脑智能算法
代表性论文
1. Zhang, W. H.,A.H. Chen, M.J. Rasch*, andS. Wu*. Decentralized Multisensory Information Integration in Neural Systems. Journal of Neuroscience, 36(2):532–547, 2016.
2. Xiaolan Wang, C.C. Alan Fung, Shaobo Guan, Si Wu*, Michael E. Goldberg, Mingsha Zhang*. Perisaccadic Receptive Field Expansion in the Lateral Intraparietal Area. Neuron, 90(2): 400–409, 2016.
3. W. Zhang, H. Wang, KYM Wong, S. Wu*. “Concurrent” and “Opposite” Neurons: Sisters for Multisensory Integration and Segregation. Advances in Neural Information Processing Systems (NIPS*2016).
4. Y. Mi, C. C. Alan Fung, K. Y. Michael Wong, S.Wu*. Spike Frequency Adaptation Implements Anticipative Tracking in Continuous Attractor Neural Networks. Advances in Neural Information Processing Systems (NIPS*2014).
5. Y. Mi, L. Li, D. Wang, S.Wu*. A Synaptic Story of Persistent Activity with Graded Lifetime in a Neural System. Advances in Neural Information Processing Systems (NIPS*2014).
6. Y. Mi , X. Liao , X. Huang , L. Zhang , W. Gu, G. Hu* and S. Wu*. Long-Period Rhythmic Synchronous Firing in a Scale-Free Network. Proc. Natl. Acad. Sci. USA, 110:E4931-4936, 2013.
7. L. Xiao, M. Zhang, D. Xing, P-J. Liang* and S. Wu*. Shift of Encoding Strategy in Retinal Luminance Adaptation: from Firing Rate to Neural Correlation. Journal of Neurophysiology 110:1793-1803, 2013.
8. W. Zhang and S. Wu*. Reciprocally Coupled Local Estimators Implement Bayesian Information Integration Distributively. Advances in Neural Information Processing Systems (NIPS*2013).
