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To solve the spatial problems of mapping, localization and navigation, the mammalian lineage has developed striking spatial representations.
Unsupervised Pre-Training of Image Features on Non-Curated Data
Mathilde Caron, Piotr Bojanowski, Julien Mairal, and Armand Joulin · 1905
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Contrastive Representation Distillation
Yonglong Tian, Dilip Krishnan, and Phillip Isola · 1910
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A global geometric framework for nonlinear dimensionality reduction
Joshua B Tenenbaum, Vin de Silva, and John C Langford · 2000
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A Simple Framework for Contrastive Learning of Visual Representations
Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton · 2002
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Microstructure of a spatial map in the entorhinal cortex
Torkel Hafting, Marianne Fyhn, Sturla Molden, May-Britt Moser, and Edvard I. Moser · 2005
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Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, and Armand Joulin · 2006
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Spectral methods for dimensionality reduction
Lawrence K Saul, Kilian Q Weinberger, Fei Sha, Jihun Ham, and Daniel D Lee · 2006
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The minimum description length principle
Peter D Grünwald · 2007
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What Grid Cells Convey about Rat Location
Ila R. Fiete, Yoram Burak, and Ted Brookings · 2008
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Exploring Simple Siamese Representation Learning, November 2020
Xinlei Chen and Kaiming He · 2011
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Grid cells generate an analog error-correcting code for singularly precise neural computation
Sameet Sreenivasan and Ila Fiete · 2011
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Optimal Population Codes for Space: Grid Cells Outperform Place Cells
Alexander Mathis, Andreas V. M. Herz, and Martin Stemmler · 2012
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The entorhinal grid map is discretized
Hanne Stensola, Tor Stensola, Trygve Solstad, Kristian Frøland, May-Britt Moser, and Edvard I. Moser · 2012
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Specific evidence of low-dimensional continuous attractor dynamics in grid cells
KiJung Yoon, Michael A Buice, Caswell Barry, Robin Hayman, Neil Burgess, and Ila R Fiete · 2013
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Grid cell symmetry is shaped by environmental geometry
Julija Krupic, Marius Bauza, Stephen Burton, Caswell Barry, and John O’Keefe · 2015
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Connecting multiple spatial scales to decode the population activity of grid cells
Martin Stemmler, Alexander Mathis, and Andreas VM Herz · 2015
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A principle of economy predicts the functional architecture of grid cells
Xue-Xin Wei, Jason Prentice, and Vijay Balasubramanian · 2015
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Computational principles of memory
Rishidev Chaudhuri and Ila Fiete · 2016
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Organizing conceptual knowledge in humans with a gridlike code
Alexandra O. Constantinescu, Jill X. O’Reilly, and Timothy E. J. Behrens · 2016
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Extracting grid cell characteristics from place cell inputs using non-negative principal component analysis
Yedidyah Dordek, Daniel Soudry, Ron Meir, and Dori Derdikman · 2016
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Framing the grid: effect of boundaries on grid cells and navigation
Julija Krupic, Marius Bauza, Stephen Burton, and John O’Keefe · 2016
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Mapping of a non-spatial dimension by the hippocampal–entorhinal circuit
Dmitriy Aronov, Rhino Nevers, and David W. Tank · 2017
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2017
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The hippocampus as a predictive map
Kimberly L Stachenfeld, Matthew M Botvinick, and Samuel J Gershman · 2017
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Vector-based navigation using grid-like representations in artificial agents
Andrea Banino, Caswell Barry, Benigno Uria, Charles Blundell, Timothy Lillicrap, Piotr Mirowski, Alexander Pritzel, Martin J. Chadwick, Thomas Degris, Joseph Modayil, Greg Wayne, Hubert Soyer, Fabio Viola, Brian Zhang, Ross Goroshin, Neil Rabinowitz, Razvan Pascanu, Charlie Beattie, Stig Petersen, Amir Sadik, Stephen Gaffney, Helen King, Koray Kavukcuoglu, Demis Hassabis, Raia Hadsell, and Dharshan Kumaran · 2018
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Emergence of grid-like representations by training recurrent neural networks to perform spatial localization
Christopher J Cueva and Xue-Xin Wei · 2018
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Environmental deformations dynamically shift the grid cell spatial metric
Alexandra T Keinath, Russell A Epstein, and Vijay Balasubramanian · 2018
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Local transformations of the hippocampal cognitive map
Julija Krupic, Marius Bauza, Stephen Burton, and John O’Keefe · 2018
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Your head is there to move you around: Goal-driven models of the primate dorsal pathway
Patrick Mineault, Shahab Bakhtiari, Blake Richards, and Christopher Pack · 2021
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Inferences on a multidimensional social hierarchy use a grid-like code
Seongmin A Park, Douglas S Miller, and Erie D Boorman · 2021
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Self-supervised learning from a multi-view perspective, 2021
Yao-Hung Hubert Tsai, Yue Wu, Ruslan Salakhutdinov, and Louis-Philippe Morency · 2021
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Grid-like and distance codes for representing word meaning in the human brain
Simone Viganò, Valerio Rubino, Antonio Di Soccio, Marco Buiatti, and Manuela Piazza · 2021
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Barlow Twins: Self-Supervised Learning via Redundancy Reduction, June 2021
Jure Zbontar, Li Jing, Ishan Misra, Yann LeCun, and Stéphane Deny · 2021
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Learning Representations by Maximizing Mutual Information Across Views
Philip Bachman, R Devon Hjelm, and William Buchwalter · 2019
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Grid-like neural representations support olfactory navigation of a two-dimensional odor space
Xiaojun Bao, Eva Gjorgieva, Laura K Shanahan, James D Howard, Thorsten Kahnt, and Jay A Gottfried · 2019
Cited alongside, same era.
The entorhinal cognitive map is attracted to goals
Charlotte N Boccara, Michele Nardin, Federico Stella, Joseph O’Neill, and Jozsef Csicsvari · 2019
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Remembered reward locations restructure entorhinal spatial maps
William N Butler, Kiah Hardcastle, and Lisa M Giocomo · 2019
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Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-Motion
Ruiqi Gao, Jianwen Xie, Song-Chun Zhu, and Ying Nian Wu · 2019
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Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al · 2019
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A unified theory for the origin of grid cells through the lens of pattern formation
Ben Sorscher, Gabriel C Mel, Surya Ganguli, and Samuel A Ocko · 2019
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Unsupervised neural network models of the ventral visual stream
Chengxu Zhuang, Siming Yan, Aran Nayebi, Martin Schrimpf, Michael C. Frank, James J. DiCarlo, and Daniel L. K. Yamins · 2021
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Toroidal topology of population activity in grid cells
Richard J. Gardner, Erik Hermansen, Marius Pachitariu, Yoram Burak, Nils A. Baas, Benjamin A. Dunn, May-Britt Moser, and Edvard I. Moser · 2022
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From smooth cortical gradients to discrete modules: spontaneous and topologically robust emergence of modularity in grid cells
Mikail Khona, Sarthak Chandra, and Ila R. Fiete · 2022
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Attractor and integrator networks in the brain
Mikail Khona and Ila R Fiete · 2022
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A self-supervised domain-general learning framework for human ventral stream representation
Talia Konkle and George A Alvarez · 2022
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Self-supervised learning via maximum entropy coding
Xin Liu, Zhongdao Wang, Ya-Li Li, and Shengjin Wang · 2022
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Self-supervised learning with an information maximization criterion
Serdar Ozsoy, Shadi Hamdan, Sercan Arik, Deniz Yuret, and Alper Erdogan · 2022
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No free lunch from deep learning in neuroscience: A case study through models of the entorhinal-hippocampal circuit
Rylan Schaeffer, Mikail Khona, and Ila R Fiete · 2022
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No Free Lunch from Deep Learning in Neuroscience: A Case Study through Models of the Entorhinal-Hippocampal Circuit
Rylan Schaeffer, Mikail Khona, and Ila Rani Fiete · 2022
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Coherently remapping toroidal cells but not grid cells are responsible for path integration in virtual agents
Vemund Schøyen, Markus Borud Pettersen, Konstantin Holzhausen, Marianne Fyhn, Anders Malthe-Sørenssen, and Mikkel Elle Lepperød · 2022
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What do we maximize in self-supervised learning?, 2022
Ravid Shwartz-Ziv, Randall Balestriero, and Yann LeCun · 2022
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Conformal isometry of lie group representation in recurrent network of grid cells
Dehong Xu, Ruiqi Gao, Wen-Hao Zhang, Xue-Xin Wei, and Ying Nian Wu · 2022
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A cookbook of self-supervised learning
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Actionable neural representations: Grid cells from minimal constraints
William Dorrell, Peter E Latham, Timothy EJ Behrens, and James CR Whittington · 2023
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Winning the lottery with neural connectivity constraints: Faster learning across cognitive tasks with spatially constrained sparse rnns
Mikail Khona, Sarthak Chandra, Joy J Ma, and Ila R Fiete · 2023
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Growing brains: Co-emergence of anatomical and functional modularity in recurrent neural networks
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An information-theoretic perspective on variance-invariance-covariance regularization, 2023
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A unified theory for the computational and mechanistic origins of grid cells
Ben Sorscher, Gabriel C Mel, Samuel A Ocko, Lisa M Giocomo, and Surya Ganguli · 2023
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