Emergence of grid-like representations by training recurrent neural networks to perform spatial localization

21 March 2018

Papers citing "Emergence of grid-like representations by training recurrent neural networks to perform spatial localization"

50 / 72 papers shown

Title
SegDesicNet: Lightweight Semantic Segmentation in Remote Sensing with Geo-Coordinate Embeddings for Domain Adaptation Sachin Verma Frank Lindseth Gabriel Kiss 57 0 0 11 Mar 2025
Spatial-aware decision-making with ring attractors in reinforcement learning systems Marcos Negre Saura Richard Allmendinger Theodore Papamarkou Wei Pan 169 0 0 17 Feb 2025
Time Makes Space: Emergence of Place Fields in Networks Encoding Temporally Continuous Sensory Experiences Zhaoze Wang Ronald W. Di Tullio Spencer Rooke Vijay Balasubramanian KELM 21 2 0 11 Aug 2024
Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps Christopher J. Kymn Sonia Mazelet Anthony Thomas Denis Kleyko E. P. Frady Friedrich T. Sommer Bruno A. Olshausen 42 2 0 27 Jun 2024
Higher-Order Spatial Information for Self-Supervised Place Cell Learning Jared Deighton Wyatt Mackey Ioannis Schizas David L. Boothe Jr. Vasileios Maroulas SSL 24 0 0 10 Jun 2024
Geometric sparsification in recurrent neural networks Wyatt Mackey Ioannis Schizas Jared Deighton David L. Boothe, Jr. Vasileios Maroulas 33 0 0 10 Jun 2024
Linking In-context Learning in Transformers to Human Episodic Memory Ji-An Li Corey Y. Zhou M. Benna Marcelo G. Mattar 40 3 0 23 May 2024
Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks G. Marchetti Christopher Hillar Danica Kragic Sophia Sanborn 32 12 0 13 Dec 2023
Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells Rylan Schaeffer Mikail Khona Tzuhsuan Ma Cristobal Eyzaguirre Sanmi Koyejo Ila Rani Fiete SSL 29 20 0 04 Nov 2023
Emergence of Grid-like Representations by Training Recurrent Networks with Conformal Normalization Dehong Xu Ruiqi Gao Wen-Hao Zhang Xue-Xin Wei Ying Nian Wu 14 0 0 29 Oct 2023
Recurrent networks recognize patterns with low-dimensional oscillations Keith T. Murray 18 0 0 11 Oct 2023
Automated mapping of virtual environments with visual predictive coding James Gornet M. Thomson 29 1 0 20 Aug 2023
A Versatile Hub Model For Efficient Information Propagation And Feature Selection Zhaoze Wang Junsong Wang 14 0 0 05 Jul 2023
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 24 39 0 30 Jun 2023
A Population-Level Analysis of Neural Dynamics in Robust Legged Robots Eugene R. Rush Christoffer Heckman Kaushik Jayaram J. Humbert 34 0 0 27 Jun 2023
Learning with a Mole: Transferable latent spatial representations for navigation without reconstruction G. Bono L. Antsfeld Assem Sadek G. Monaci Christian Wolf SSL 38 5 0 06 Jun 2023
Determinantal Point Process Attention Over Grid Cell Code Supports Out of Distribution Generalization S. S. Mondal Steven M. Frankland Taylor Webb Jonathan D. Cohen 45 1 0 28 May 2023
Brain-inspired learning in artificial neural networks: a review Samuel Schmidgall Jascha Achterberg Thomas Miconi Louis Kirsch Rojin Ziaei S. P. Hajiseyedrazi Jason Eshraghian 31 52 0 18 May 2023
From Data-Fitting to Discovery: Interpreting the Neural Dynamics of Motor Control through Reinforcement Learning Eugene R. Rush Kaushik Jayaram J. Humbert 18 1 0 18 May 2023
Emergence of Maps in the Memories of Blind Navigation Agents Erik Wijmans Manolis Savva Irfan Essa Stefan Lee Ari S. Morcos Dhruv Batra 31 27 0 30 Jan 2023
A Topological Deep Learning Framework for Neural Spike Decoding Edward C. Mitchell Brittany Story D. Boothe P. Franaszczuk Vasileios Maroulas 34 8 0 01 Dec 2022
Multi-Object Navigation with dynamically learned neural implicit representations Pierre Marza L. Matignon Olivier Simonin Christian Wolf 35 23 0 11 Oct 2022
Conformal Isometry of Lie Group Representation in Recurrent Network of Grid Cells Dehong Xu Ruiqi Gao Wenhao Zhang Xue-Xin Wei Ying Nian Wu 16 14 0 06 Oct 2022
Disentanglement with Biological Constraints: A Theory of Functional Cell Types James C. R. Whittington W. Dorrell Surya Ganguli Timothy Edward John Behrens 47 48 0 30 Sep 2022
Learning Parsimonious Dynamics for Generalization in Reinforcement Learning Tankred Saanum Eric Schulz 26 1 0 29 Sep 2022
Human-AI Shared Control via Policy Dissection Quanyi Li Zhenghao Peng Haibin Wu Lan Feng Bolei Zhou 18 13 0 31 May 2022
Emergence of Double-slit Interference by Representing Visual Space in Artificial Neural Networks Xiuxiu Bai Zhe Liu Yao Gao B. Liu Yongqiang Hao 30 1 0 20 May 2022
A Computational Theory of Learning Flexible Reward-Seeking Behavior with Place Cells Yuan Z Gao AI4CE 16 0 0 22 Apr 2022
The Frost Hollow Experiments: Pavlovian Signalling as a Path to Coordination and Communication Between Agents P. Pilarski Andrew Butcher Elnaz Davoodi Michael Bradley Johanson Dylan J. A. Brenneis Adam S. R. Parker Leslie Acker M. Botvinick Joseph Modayil Adam White AI4CE 11 3 0 17 Mar 2022
How to build a cognitive map: insights from models of the hippocampal formation James C. R. Whittington David McCaffary Jacob J. W. Bakermans Timothy Edward John Behrens 17 17 0 03 Feb 2022
Sphere2Vec: Multi-Scale Representation Learning over a Spherical Surface for Geospatial Predictions Gengchen Mai Yao Xuan Wenyun Zuo K. Janowicz Ni Lao 14 4 0 25 Jan 2022
Graph augmented Deep Reinforcement Learning in the GameRLand3D environment E. Beeching Maxim Peter Philippe Marcotte Jilles Debangoye Olivier Simonin Joshua Romoff Christian Wolf 11 5 0 22 Dec 2021
Relating transformers to models and neural representations of the hippocampal formation James C. R. Whittington Joseph Warren Timothy Edward John Behrens 11 79 0 07 Dec 2021
Reverse engineering recurrent neural networks with Jacobian switching linear dynamical systems Jimmy T.H. Smith Scott W. Linderman David Sussillo 20 28 0 01 Nov 2021
Emergent behavior and neural dynamics in artificial agents tracking turbulent plumes Satpreet H. Singh F. V. Breugel Rajesh P. N. Rao Bingni W. Brunton 33 4 0 25 Sep 2021
One-shot learning of paired association navigation with biologically plausible schemas M Ganesh Kumar Cheston Tan C. Libedinsky S. Yen A. Tan 23 3 0 07 Jun 2021
SpikePropamine: Differentiable Plasticity in Spiking Neural Networks Samuel Schmidgall Julia Ashkanazy W. Lawson Joe Hays 14 7 0 04 Jun 2021
Hippocampal formation-inspired probabilistic generative model Akira Taniguchi Ayako Fukawa Hiroshi Yamakawa 33 19 0 12 Mar 2021
Rearrangement: A Challenge for Embodied AI Dhruv Batra Angel X. Chang Sonia Chernova Andrew J. Davison Jia Deng ... Jitendra Malik Igor Mordatch Roozbeh Mottaghi Manolis Savva Hao Su LM&Ro 38 217 0 03 Nov 2020
Semi-supervised Sequential Generative Models Michael Teng T. Le Adam Scibior Frank Wood BDL AI4TS 25 3 0 30 Jun 2020
On Path Integration of Grid Cells: Group Representation and Isotropic Scaling Ruiqi Gao Jianwen Xie Xue-Xin Wei Song-Chun Zhu Ying Nian Wu 28 17 0 18 Jun 2020
Isometric Graph Neural Networks Matthew Walker Bo Yan Yiou Xiao Yafei Wang Ayan Acharya GNN 22 2 0 16 Jun 2020
Artificial neural networks for neuroscientists: A primer G. R. Yang Xiao-Jing Wang 24 243 0 01 Jun 2020
How recurrent networks implement contextual processing in sentiment analysis Niru Maheswaranathan David Sussillo 22 22 0 17 Apr 2020
Will we ever have Conscious Machines? P. Krauss Andreas Maier 38 30 0 31 Mar 2020
Grid Cells Are Ubiquitous in Neural Networks Songlin Li Yangdong Deng Zhihua Wang 9 3 0 07 Mar 2020
MVP: Unified Motion and Visual Self-Supervised Learning for Large-Scale Robotic Navigation Marvin Chancán Michael Milford SSL 33 8 0 02 Mar 2020
Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells Gengchen Mai K. Janowicz Bo Yan Rui Zhu Ling Cai Ni Lao SSL 25 118 0 16 Feb 2020
EgoMap: Projective mapping and structured egocentric memory for Deep RL E. Beeching Christian Wolf J. Dibangoye Olivier Simonin EgoV 21 27 0 24 Jan 2020
Emergence of functional and structural properties of the head direction system by optimization of recurrent neural networks Christopher J. Cueva Peter Y. Wang Matthew Chin Xue-Xin Wei 14 35 0 21 Dec 2019