| Specific evidence of low-dimensional continuous attractor dynamics in grid cells K Yoon, MA Buice, C Barry, R Hayman, N Burgess, IR Fiete Nature neuroscience 16 (8), 1077-1084, 2013 | 275 | 2013 |
| Reviving and Improving Recurrent Back-Propagation R Liao, Y Xiong, E Fetaya, L Zhang, K Yoon, X Pitkow, R Urtasun, ... arXiv preprint arXiv:1803.06396, 2018 | 107 | 2018 |
| Inference in Probabilistic Graphical Models by Graph Neural Networks K Yoon, R Liao, Y Xiong, L Zhang, E Fetaya, R Urtasun, R Zemel, ... arXiv preprint arXiv:1803.07710, 2018 | 99 | 2018 |
| A map-like micro-organization of grid cells in the medial entorhinal cortex Y Gu, S Lewallen, AA Kinkhabwala, C Domnisoru, K Yoon, JL Gauthier, ... Cell 175 (3), 736-750. e30, 2018 | 84 | 2018 |
| Grid cell responses in 1D environments assessed as slices through a 2D lattice K Yoon, S Lewallen, AA Kinkhabwala, DW Tank, IR Fiete Neuron 89 (5), 1086-1099, 2016 | 63 | 2016 |
| Degree Matters: Assessing the Generalization of Graph Neural Network H Park, K Yoon 2021 7th IEEE International Conference on Network Intelligence and Digital …, 2021 | 2 | 2021 |
| Graph Neural Networks for Connectivity Inference in Spatially Patterned Neural Responses T Park, JH Kim, DH Kang, K Yoon NeurIPS 2022 Workshop on Symmetry and Geometry in Neural Representations, 2022 | | 2022 |
| Towards Better Generalization with Flexible Representation of Multi-Module Graph Neural Networks H Lee, K Yoon Transactions on Machine Learning Research (TMLR), 2022 | | 2022 |
| Two-Argument Activation Functions Learn Soft XOR Operations Like Cortical Neurons J Kim, E Orhan, K Yoon, X Pitkow IEEE Access 10, 58071-58080, 2022 | | 2022 |
| Two-argument activation functions learn soft XOR operations like cortical neurons K Yoon, E Orhan, J Kim, X Pitkow arXiv preprint arXiv:2110.06871, 2021 | | 2021 |
| Learning nonlinearities for identifying regular structure in the brain’s inference algorithm K Yoon, X Pitkow Cosyne Abstr., 2018 | | 2018 |
| Supplemental Information K Yoon, S Lewallen, AA Kinkhabwala, DW Tank, IR Fiete Neuron 89 (5), 1086-1099, 2016 | | 2016 |
| Unraveling the dynamics and structure of grid cells as a spatial map in the brain K Yoon | | 2015 |
| Statistical framework for encoding and decoding grid cell population activity K Yoon, IR Fiete Soc. Neurosci. Abstr., 2014 | | 2014 |
| SUPPLEMENTARY INFORMATION Specific evidence of low-dimensional continuous attractor dynamics in grid cells KJ Yoon, MA Buice, C Barry, R Hayman, N Burgess, I Fiete Nature Neuroscience 16 (8), 1077-1084, 2013 | | 2013 |
| Are aperiodic 1D grid cell responses consistent with low-dimensional continuous attractor dynamics? K Yoon, D Robles-Llana, AA Kinkhabwala, DW Tank, IR Fiete Cosyne Abstr., 2013 | | 2013 |
| 1D grid fields are slices of a 2D hexagonal lattice S Lewallen, K Yoon, AA Kinkhabwala, C Domnisoru, DW Tank, IR Fiete Soc. Neurosci. Abstr. 39 (94.04), 2013 | | 2013 |
| Grid cell response in 1D environments are consisten with 2D continuous attractor dynamics K Yoon, S Lewallen, AA Kinkhabwala, DW Tank, IR Fiete Soc. Neurosci. Abstr. 39 (94.05), 2013 | | 2013 |
| Are grid-cell responses very low-dimensional? K Yoon, C Barry, MA Buice, N Burgess, IR Fiete Cosyne Abstr., 2012 | | 2012 |
| Assessing the role of feedback in spatially patterned grid cell responses K Yoon | | 2011 |
Ila FieteProfessor of Brain and Cognitive Sciences, MITVerified email at mit.edu
