| Learning joint space–time–frequency features for EEG decoding on small labeled data D Zhao, F Tang, B Si, X Feng Neural Networks 114, 67-77, 2019 | 120 | 2019 |
| A novel pyramidal cell type promotes sharp-wave synchronization in the hippocampus DL Hunt, D Linaro, B Si, S Romani, N Spruston Nature neuroscience 21 (7), 985-995, 2018 | 90 | 2018 |
| The role of competitive learning in the generation of DG fields from EC inputs B Si, A Treves Cognitive neurodynamics 3, 177-187, 2009 | 89 | 2009 |
| Self-organization of multiple spatial and context memories in the hippocampus F Stella, E Cerasti, B Si, K Jezek, A Treves Neuroscience & Biobehavioral Reviews 36 (7), 1609-1625, 2012 | 84 | 2012 |
| Grid alignment in entorhinal cortex B Si, E Kropff, A Treves Biological cybernetics 106, 483-506, 2012 | 67 | 2012 |
| Group feature selection with multiclass support vector machine F Tang, L Adam, B Si Neurocomputing 317, 42-49, 2018 | 43 | 2018 |
| A reinforcement learning neural network for robotic manipulator control Y Hu, B Si Neural computation 30 (7), 1983-2004, 2018 | 42 | 2018 |
| Continuous attractor network model for conjunctive position-by-velocity tuning of grid cells B Si, S Romani, M Tsodyks Plos computational biology 10 (4), e1003558, 2014 | 42 | 2014 |
| A model for the differentiation between grid and conjunctive units in medial entorhinal cortex B Si, A Treves Hippocampus 23 (12), 1410-1424, 2013 | 42 | 2013 |
| NeuroBayesSLAM: Neurobiologically inspired Bayesian integration of multisensory information for robot navigation T Zeng, F Tang, D Ji, B Si Neural Networks 126, 21-35, 2020 | 39 | 2020 |
| S elforganization of modular activity of grid cells E Urdapilleta, B Si, A Treves Hippocampus 27 (11), 1204-1213, 2017 | 32 | 2017 |
| Cognitive mapping based on conjunctive representations of space and movement T Zeng, B Si Frontiers in neurorobotics 11, 61, 2017 | 27 | 2017 |
| A brain-inspired compact cognitive mapping system T Zeng, B Si Cognitive Neurodynamics 15 (1), 91-101, 2021 | 25 | 2021 |
| Two-dimensional forward-looking sonar image registration by maximization of peripheral mutual information S Song, JM Herrmann, B Si, K Liu, X Feng International Journal of Advanced Robotic Systems 14 (6), 1729881417746270, 2017 | 21 | 2017 |
| Learning cognitive map representations for navigation by sensory–motor integration D Zhao, Z Zhang, H Lu, S Cheng, B Si, X Feng IEEE transactions on cybernetics 52 (1), 508-521, 2020 | 20 | 2020 |
| Grid cells on the ball F Stella, B Si, E Kropff, A Treves Journal of Statistical Mechanics: Theory and Experiment 2013 (03), P03013, 2013 | 19 | 2013 |
| Mobile robot exploration based on rapidly-exploring random trees and dynamic window approach T Zeng, B Si 2019 5th International Conference on Control, Automation and Robotics (ICCAR …, 2019 | 17 | 2019 |
| Sample-based frontier detection for autonomous robot exploration W Qiao, Z Fang, B Si 2018 IEEE International Conference on Robotics and Biomimetics (ROBIO), 1165 …, 2018 | 15 | 2018 |
| Characterization of exploratory patterns and hippocampal–prefrontal network oscillations during the emergence of free exploration W Dong, H Chen, T Sit, Y Han, F Song, AL Vyssotski, CT Gross, B Si, ... Science Bulletin 66 (21), 2238-2250, 2021 | 12 | 2021 |
| Local autoencoding for parameter estimation in a hidden Potts-Markov random field S Song, B Si, JM Herrmann, X Feng IEEE Transactions on Image Processing 25 (5), 2324-2336, 2016 | 12 | 2016 |
Fengzhen TangShenyang Institution of Automation Chinese Academy of Sciencesia.cn의 이메일 확인됨