Learning Grid Cells as Vector Representation of Self-Position Coupled
with Matrix Representation of Self-Motion

Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-Motion

12 October 2018

Ruiqi Gao

Papers citing "Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-Motion"

6 / 6 papers shown

Title
Place Cells as Position Embeddings of Multi-Time Random Walk Transition Kernels for Path Planning Minglu Zhao Dehong Xu Deqian Kong Wen-Hao Zhang Ying Nian Wu 17 0 0 20 May 2025
RANGE: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings Aayush Dhakal Srikumar Sastry Subash Khanal Adeel Ahmad Eric Xing Nathan Jacobs 60 0 0 27 Feb 2025
TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning Nemin Wu Qian Cao Zhangyu Wang Zeping Liu Yanlin Qi ... Stefano Ermon T. Ganu A. Nambi Ni Lao Gengchen Mai 76 15 0 21 Jun 2024
Sphere2Vec: A General-Purpose Location Representation Learning over a Spherical Surface for Large-Scale Geospatial Predictions Gengchen Mai Yao Xuan Wen-Hang Zuo Yutong He Jiaming Song Stefano Ermon K. Janowicz Ni Lao 32 39 0 30 Jun 2023
Emergence of Double-slit Interference by Representing Visual Space in Artificial Neural Networks Xiuxiu Bai Zhe Liu Yao Gao B. Liu Yongqiang Hao 33 1 0 20 May 2022
A Review of Location Encoding for GeoAI: Methods and Applications Gengchen Mai K. Janowicz Yingjie Hu Song Gao Bo Yan Rui Zhu Ling Cai Ni Lao 69 114 0 07 Nov 2021