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Guangyu Robert Yang 杨光宇
Guangyu Robert Yang 杨光宇
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
Task representations in neural networks trained to perform many cognitive tasks
GR Yang, MR Joglekar, HF Song, WT Newsome, XJ Wang
Nature neuroscience 22 (2), 297-306, 2019
3092019
Brain-wide maps reveal stereotyped cell-type-based cortical architecture and subcortical sexual dimorphism
Y Kim*, GR Yang*, K Pradhan, KU Venkataraju, M Bota, LCG del Molino, ...
Cell 171 (2), 456-469. e22, 2017
2222017
Training excitatory-inhibitory recurrent neural networks for cognitive tasks: a simple and flexible framework
HF Song*, GR Yang*, XJ Wang
PLoS computational biology 12 (2), e1004792, 2016
2012016
Circuit mechanisms for the maintenance and manipulation of information in working memory
NY Masse, GR Yang, HF Song, XJ Wang, DJ Freedman
Nature neuroscience 22 (7), 1159-1167, 2019
1332019
Artificial neural networks for neuroscientists: a primer
GR Yang, XJ Wang
Neuron 107 (6), 1048-1070, 2020
1252020
Reward-based training of recurrent neural networks for cognitive and value-based tasks
HF Song, GR Yang, XJ Wang
Elife 6, e21492, 2017
1252017
A dendritic disinhibitory circuit mechanism for pathway-specific gating
GR Yang, JD Murray, XJ Wang
Nature communications 7 (1), 1-14, 2016
1162016
Inter-areal balanced amplification enhances signal propagation in a large-scale circuit model of the primate cortex
MR Joglekar, JF Mejias, GR Yang, XJ Wang
Neuron 98 (1), 222-234. e8, 2018
1022018
A disinhibitory circuit motif and flexible information routing in the brain
XJ Wang, GR Yang
Current opinion in neurobiology 49, 75-83, 2018
572018
A dataset and architecture for visual reasoning with a working memory
GR Yang*, I Ganichev*, XJ Wang, J Shlens, D Sussillo
European Conference on Computer Vision, 729-745, 2018
452018
Paradoxical response reversal of top-down modulation in cortical circuits with three interneuron types
LC Garcia del Molino, GR Yang, JF Mejias, XJ Wang
Elife 6, e29742, 2017
382017
How to study the neural mechanisms of multiple tasks
GR Yang, MW Cole, K Rajan
Current opinion in behavioral sciences 29, 134-143, 2019
312019
Constructing neural network models from brain data reveals representational transformations linked to adaptive behavior
T Ito, GR Yang, P Laurent, DH Schultz, MW Cole
Nature communications 13 (1), 673, 2022
17*2022
Meta-learning synaptic plasticity and memory addressing for continual familiarity detection
D Tyulmankov, GR Yang, LF Abbott
Neuron 110 (3), 544-557. e8, 2022
172022
Towards the next generation of recurrent network models for cognitive neuroscience
GR Yang, M Molano-Mazón
Current opinion in neurobiology 70, 182-192, 2021
132021
Evolving the olfactory system with machine learning
PY Wang, Y Sun, R Axel, LF Abbott, GR Yang
Neuron 109 (23), 3879-3892. e5, 2021
92021
Biological learning in key-value memory networks
D Tyulmankov*, C Fang*, A Vadaparty, GR Yang
Thirty-Fifth Conference on Neural Information Processing Systems, 2021
92021
Pre-training RNNs on ecologically relevant tasks explains sub-optimal behavioral reset
M Molano-Mazon, D Duque, GR Yang, J de la Rocha
bioRxiv, 2021
42021
NeuroGym: An open resource for developing and sharing neuroscience tasks
M Molano-Mazon, J Barbosa, J Pastor-Ciurana, M Fradera, RY Zhang, ...
PsyArXiv, 2022
32022
Understanding the functional and structural differences across excitatory and inhibitory neurons
S Minni*, L Ji-An*, T Moskovitz, G Lindsay, K Miller, M Dipoppa, GR Yang
bioRxiv, 680439, 2019
12019
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