| Brain and Autonomous Intelligent Robots Lab |
| School of Systems Science |
| Beijing Normal University |
Brain, as an intelligent solution for complex environments, is sculpted by nature through the evolutionary process. Considering brain as an example of intelligent systems, we reveal possible computational mechanisms underlying cognition functions such as learning, memory and decision making, by analyzing data from neuroscience experiments, mathematical modeling as well as computer simulations, in order to develop theories and brain-inspired algorithms for machine intelligence.
Neural signal processing, Computational neuroscience, Neurorobotics
• Bailu Si
• Jialiang Guo
• He Chen
• Yuan Wang
• Zhaoyang Lian
• Jinyu Li
• Foji Chen
• Maoshen Xu
• Changbo Zhu
• Fei Song
• Chang Xu
• Kai Zhao
• Shujia Liu
• Renfei Tu
• Zhonghua Tang
• Haotian Li
• Xiaojun Zhou
• Fei Wang
• Jiaoyang Xu
• Cong Li
• Gao Wang
• Jiezi Wan
• Guanyu Yao
• Qi Liu
• Dongye Zhao Researcher at CETC
• Taiping Zeng PostDoc at Fudan University
• Yifan Luo PhD student at SISSA
• Gui Min Software Engineer
Open positions of Postdoc and graduate student are available for highly motivated candidates with background in information science, physical science, systems science and computational neuroscience. Contact
[1] Taiping Zeng, Bailu Si, and Xiaoli Li. Entorhinal-hippocampal Interactions Lead to Globally Coherent Representations of Space. Current Research in Neurobiology, 3:100035, 2022.
[2] Taiping Zeng, Bailu Si, and Jianfeng Feng. A theory of geometry representations for spatial navigation. Progress in Neurobiology, page 102228, 2022.
[3] Dongye Zhao, Zheng Zhang, Hong Lu, Sen Cheng, Bailu Si, and Xisheng Feng. Learning Cognitive Map Representations for Navigation by Sensory-motor Integration. IEEE Transactions on Cybernetics, 52(1):508–521, 2022.
[4] Jialiang Guo, Xiangsheng Luo, Yuanjun Kong, Bingkun Li, Bailu Si, Li Sun, and Yan Song. Abnormal reactivity of brain oscillations to visual search target in children with attention-deficit/hyperactivity disorder. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 2022.
[5] Yifan Luo, Matteo Toso, Bailu Si, Federico Stella, and Alessandro Treves. Grid Cells Lose Coherence in Realistic Environments. In Xinhua Zhang, editor, Hippocampus, chapter 3. IntechOpen, Rijeka, 2021.
[6] Wenxiu Dong, Hongbiao Chen, Timothy Sit, Yechao Han, Fei Song, Alexei L. Vyssotski, Cornelius T. Gross, Bailu Si, and Yang Zhan. Characterization of exploratory patterns and hippocampal–prefrontal network oscillations during the emergence of free exploration. Science Bulletin, 66(21):2238–2250, 2021.
[7] Taiping Zeng and Bailu Si. A brain-inspired compact cognitive mapping system. Cognitive Neurodynamics, 15:91–101, 2021.
[8] Fengzhen Tang, Haifeng Feng, Peter Tino, Bailu Si, and Daxiong Ji. Probabilistic learning vector quantization on manifold of symmetric positive definite matrices. Neural Networks, 142:105–118, 2021.
[9] Dongye Zhao, Bailu Si, and Xiaoli Li. Learning Allocentric Representations of Space for Navigation. Neurocomputing, 453:579–589, 2021.
[10] Simón C. Smith, Richard Dharmadi, Calum Imrie, Bailu Si, and Michael J. Herrmann. The DIAMOND Model: Deep Recurrent Neural Networks for Self-Organizing Robot Control. Frontiers in Neurorobotics, 14:62, 2020.
[11] Taiping Zeng, Fengzen Tang, Daxiong Ji, and Bailu Si. NeuroBayesSLAM: Neurobiologically Inspired Bayesian Integration of Multisensory Information for Robot Navigation. Neural Networks, 126:21–35, 2020.
[12] Taiping Zeng and Bailu Si. Video data for the cognitive mapping process of NeuroBayesSLAM system. Data in Brief, 30:105637, 2020.
[13] Dongye Zhao, Fengzhen Tang, Bailu Si, and Xisheng Feng. Learning joint space–time–frequency features for EEG decoding on small labeled data. Neural Networks, 114:67–77, 2019.
[14] Wenchuan Qiao, Zheng Fang, and Bailu Si. A sampling-based multi-tree fusion algorithm for frontier detection. International Journal of Advanced Robotic Systems, 16(4):1729881419865427, 2019.
[15] David Hunt, Daniele Linaro, Bailu Si, Sandro Romani, and Nelson Spruston. A novel pyramidal cell type promotes sharp-wave synchronization in the hippocampus. Nature Neuroscience, 21:985–995, 2018.
[16] Yazhou Hu and Bailu Si. A Reinforcement Learning Neural Network for Robotic Manipulator Control. Neural Computation, 21:1983–2004, 2018.
[17] Jiang Zhu, Daxiong Ji, Zhiwei Xu, and Bailu Si. Combined Optimization of Waveform and Quantization Thresholds for Multistatic Radar Systems. IET Signal Processing, 12(5):559–565, 2018.
[18] Fengzhen Tang, Lukas Adam, and Bailu Si. Group Feature Selection with Multiclass Support Vector Machine. Neurocomputing, 317:42–49, 2018.
[19] Sanming Song, J. Michael Herrmann, Bailu Si, Kaizhou Liu, and Xisheng Feng. Two-dimensional forward-looking sonar image registration by maximization of peripheral mutual information. International Journal of Advanced Robotic Systems, 14(6):1729881417746270, 2017.
[20] Taiping Zeng and Bailu Si. Cognitive Mapping Based on Conjunctive Representations of Space and Movement. Frontiers in Neurorobotics, 11:61, 2017.
[21] Eugenio Urdapilleta, Bailu Si, and Alessandro Treves. Self-organization of Modular Activity of Grid Cells. Hippocampus, 27(11):1204–1213, 2017.
[22] Sanming Song, Bailu Si, J Michael Herrmann, and Xisheng Feng. Local autoencoding for parameter estimation in a hidden potts-markov random field. IEEE Transactions on Image Processing, 25(5):2324–2336, 2016.
[23] Bailu Si, Sandro Romani, and Misha Tsodyks. Continuous Attractor Network Model for Conjunctive Position-by-Velocity Tuning of Grid Cells. PLoS Computational Biology, 10(4):e1003558, 2014.
[24] Bailu Si and Alessandro Treves. A model for the differentiation between grid and conjunctive units in medial entorhinal cortex. Hippocampus, 23(12):1410–1424, 2013.
[25] Federico Stella, Bailu Si, Emilio Kropff, and Alessandro Treves. Grid cells on the ball. Journal of Statistical Mechanics: Theory and Experiment, (P03013), 2013.
[26] Federico Stella, Bailu Si, Emilio Kropff, and Alessandro Treves. Grid maps for spaceflight, anyone? They are for free! Behavioral and Brain Sciences, 36(5):566–567, 2013.
[27] Bailu Si, Emilio Kropff, and Alessandro Treves. Grid Alignment in Entorhinal Cortex. Biological Cybernetics, 106(8-9):483–506, 2012.
[28] Federico Stella, Erika Cerasti, Bailu Si, Karel Jezek, and Alessandro Treves. Self-organization of multiple spatial and context memories in the hippocampus. Neuroscience and Biobehavioral Reviews, 36(7), 2012.
[29] Bailu Si and Alessandro Treves. The role of competitive learning in the generation of DG fields from EC inputs. Cognitive Neurodynamics, 3(2):177–187, 2009.
[1] Taiping Zeng and Bailu Si. Mobile robot exploration based on rapidly-exploring random trees and dynamic window approach. In Proceedings of 5th International Conference on Control, Automation and Robotics (ICCAR), 2019.
[2] Dongye Zhao, Bailu Si, and Fengzhen Tang. Unsupervised feature learning for visual place recognition in changing environments. In Proceedings of the 2019 International Joint Conference on Neural Networks. 2019.
[3] Simon C Smith, Richard Dharmadi, Bailu Si, and J Michael Herrmann. Deep recurrent neural networks for self-organising robot control. In Workshop on Robust Artificial Intelligence for Neurorobotics. 2019.
[4] Wenchuan Qiao, Zheng Fang, and Bailu Si. Sample-based frontier detection for autonomous robot exploration. In Proceedings of the 2018 IEEE International Conference on Robotics and Biomimetics (ROBIO), pages 1165–1170, 2018.
[5] Guanwen Huang, Bailu Si, and Fengzhen Tang. Model learning based on grid cell representations. In Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO), pages 1032–1037. 2017.
[6] Fengzhen Tang, Bailu Si, and Daxiong Ji. A prey-predator model for efficient robot tracking. In Proceedings of the 2017 IEEE International Conference on Robotics and Automation (ICRA), pages 3568–3574. 2017.
[7] Sanming Song, Bailu Si, Xisheng Feng, and Kaizhou Liu. Label field initialization for MRF-based sonar image segmentation by selective autoencoding. In OCEANS 2016-Shanghai, pages 1–5. 2016.
[8] Sanming Song, Bailu Si, Xisheng Feng, and J. Michael Herrmann. Prior parameter estimation for ising-mrf-based sonar image segmentation by local center-encoding. In OCEANS, 2015. Proceedings of MTS/IEEE. 2015.
[9] Shuang Liu, Bailu Si, and Yang Lin. Self-organization of hippocampal representations in large environments. In Proceedings of the 2015 International Joint Conference on Neural Networks. 2015.
[10] Bailu Si, J. Michael Herrmann, and Klaus Pawelzik. Gain-based exploration: From multi-armed bandits to partially observable environments. In Proceedings of the International Conference on Natural Computation, pages 177–182. 2007.
[11] Bailu Si, Klaus Pawelzik, and J. Michael Herrmann. Robot exploration by subjectively maximizing objective information gain. In Proceedings of the IEEE International Conference on Robotics and Biomimetics (ROBIO), pages 862–867. 2004.
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