1 citations · 4 across the 5 of their papers we have counts for
6 papers
Probabilistic Learning Vector Quantization on Manifold of Symmetric Positive Definite Matrices
Fengzhen Tang, Haifeng Feng, Peter Tino +2
In this paper, we develop a new classification method for manifold-valued data in the framework of probabilistic learning vector quantization. In many classification scenarios, the…
StereoNeuroBayesSLAM: A Neurobiologically Inspired Stereo Visual SLAM System Based on Direct Sparse Method
Taiping Zeng, Xiaoli Li, Bailu Si
We propose a neurobiologically inspired visual simultaneous localization and mapping (SLAM) system based on direction sparse method to real-time build cognitive maps of large-scale…
Bayesian Integration of Multi-resolutional Grid Codes for Spatial Cognition
Taiping Zeng, XiaoLi Li, Bailu Si
Fourier-like summation of several grid cell modules with different spatial frequencies in the medial entorhinal cortex (MEC) has long been proposed to form the contours of place fi…
Experience Dependent Formation of Global Coherent Representation of Environment by Grid Cells and Head Direction Cells
Taiping Zeng, XiaoLi Li, Bailu Si
The grid firing patterns are thought to provide an efficient intrinsic metric capable of supporting universal spatial metric for mammalian spatial navigation in all environments. H…
Learning Sparse Spatial Codes for Cognitive Mapping Inspired by Entorhinal-Hippocampal Neurocircuit
Taiping Zeng, XiaoLi Li, Bailu Si
The entorhinal-hippocampal circuit plays a critical role in higher brain functions, especially spatial cognition. Grid cells in the medial entorhinal cortex (MEC) periodically fire…
A Brain-Inspired Compact Cognitive Mapping System
Taiping Zeng, Bailu Si
As the robot explores the environment, the map grows over time in the simultaneous localization and mapping (SLAM) system, especially for the large scale environment. The ever-grow…