受强制性开放获取政策约束的文章 - SueYeon Chung了解详情
可在其他位置公开访问的文章：19 篇
Neural population geometry: An approach for understanding biological and artificial neural networks
SY Chung, LF Abbott
Current Opinion in Neurobiology 70, 137-144, 2021
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
Separability and Geometry of Object Manifolds in Deep Neural Networks
U Cohen*, SY Chung*, DD Lee, H Sompolinsky
Nature Communications 11 (1), 746, 2020
强制性开放获取政策： US Department of Defense, US National Institutes of Health
Classification and Geometry of General Perceptual Manifolds
SY Chung, DD Lee, H Sompolinsky
Physical Review X 8 (3), 031003, 2018
强制性开放获取政策： US National Science Foundation, US Department of Defense, US National …
Neuroscience needs Network Science
DL Barabási, G Bianconi, E Bullmore, M Burgess, SY Chung, ...
Journal of Neuroscience 43 (34), 5989-5995, 2023
强制性开放获取政策： US National Institutes of Health, Natural Sciences and Engineering Research …
Linear readout of object manifolds
SY Chung, DD Lee, H Sompolinsky
Physical Review E 93 (6), 060301, 2016
强制性开放获取政策： US National Science Foundation, US National Institutes of Health, US …
On 1/n neural representation and robustness
J Nassar, P Sokol, S Chung, KD Harris, IM Park
NeurIPS, 2020
强制性开放获取政策： US National Science Foundation, US National Institutes of Health, Wellcome Trust
Untangling in Invariant Speech Recognition
C Stephenson, J Feather, S Padhy, O Elibol, H Tang, J McDermott, ...
NeurIPS, 2019
强制性开放获取政策： US National Science Foundation, US Department of Energy
25th annual computational neuroscience meeting: CNS-2016
TO Sharpee, A Destexhe, M Kawato, V Sekulić, FK Skinner, DK Wójcik, ...
BMC Neuroscience 17 (1), 54, 2016
强制性开放获取政策： US National Institutes of Health, Wellcome Trust
Credit Assignment Through Broadcasting a Global Error Vector
DG Clark, LF Abbott, SY Chung
NeurIPS, 2021
强制性开放获取政策： US National Science Foundation
Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception
J Dapello*, J Feather*, H Le*, T Marques, D Cox, J McDermott, JJ DiCarlo, ...
NeurIPS, 2021
强制性开放获取政策： US National Science Foundation, US Department of Energy, US Department of …
A manifold neural population code for space in hippocampal coactivity dynamics independent of place fields
ERJ Levy, S Carrillo-Segura, EH Park, WT Redman, JR Hurtado, ...
Cell Reports 42 (10), 2023
强制性开放获取政策： US National Institutes of Health
Learning Data Manifolds with a Cutting Plane Method
SY Chung, U Cohen, H Sompolinsky, DD Lee
Neural Computation 30 (10), 2593–2615, 2018
强制性开放获取政策： US National Science Foundation, US Department of Defense, US National …
Transformation of acoustic information to sensory decision variables in the parietal cortex
JD Yao, KO Zemlianova, DL Hocker, C Savin, CM Constantinople, ...
Proceedings of the National Academy of Sciences 120 (2), e2212120120, 2023
强制性开放获取政策： US National Institutes of Health
Small molecule injection into single-cell C. elegans embryos via carbon-reinforced nanopipettes
LD Brennan, T Roland, DG Morton, SM Fellman, SY Chung, M Soltani, ...
PloS one 8 (9), e75712, 2013
强制性开放获取政策： US National Institutes of Health
Divisive Feature Normalization Improves Image Recognition Performance in AlexNet
M Miller, SY Chung, KD Miller
ICLR, 2022
强制性开放获取政策： US National Science Foundation
Sensory cortex plasticity supports auditory social learning
N Paraouty, JD Yao, L Varnet, CN Chou, SY Chung, DH Sanes
Nature Communications 14 (1), 5828, 2023
强制性开放获取政策： US National Institutes of Health
Probing Biological and Artificial Neural Networks with Task-dependent Neural Manifolds
M Kuoch*, CN Chou*, N Parthasarathy, J Dapello, JJ DiCarlo, ...
Conference on Parsimony and Learning (Proceedings Track), 2024
强制性开放获取政策： US Department of Defense
Unsupervised learning on spontaneous retinal activity leads to efficient neural representation geometry
A Ligeralde, Y Kuang, TE Yerxa, MN Pitcher, M Feller, SY Chung
NeurIPS 2023 Workshop: Unifying Representations in Neural Models (UniReps), 2023
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
Representational learning by optimization of neural manifolds in an olfactory memory network
B Hu, NZ Temiz, CN Chou, P Rupprecht, C Meissner-Bernard, B Titze, ...
bioRxiv, 2024.11. 17.623906, 2024
强制性开放获取政策： European Commission
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