| 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 | 217 | 2019 |
| 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 | 183 | 2017 |
| 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 | 172 | 2016 |
| 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 | 107 | 2019 |
| Reward-based training of recurrent neural networks for cognitive and value-based tasks HF Song, GR Yang, XJ Wang Elife 6, e21492, 2017 | 100 | 2017 |
| A dendritic disinhibitory circuit mechanism for pathway-specific gating GR Yang, JD Murray, XJ Wang Nature communications 7 (1), 1-14, 2016 | 97 | 2016 |
| 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 | 81 | 2018 |
| Artificial neural networks for neuroscientists: A primer GR Yang, XJ Wang Neuron 107 (6), 1048-1070, 2020 | 70 | 2020 |
| 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 | 42 | 2018 |
| A disinhibitory circuit motif and flexible information routing in the brain XJ Wang, GR Yang Current opinion in neurobiology 49, 75-83, 2018 | 41 | 2018 |
| Paradoxical response reversal of top-down modulation in cortical circuits with three interneuron types LCG Del Molino, GR Yang, JF Mejias, XJ Wang Elife 6, e29742, 2017 | 29 | 2017 |
| How to study the neural mechanisms of multiple tasks GR Yang, MW Cole, K Rajan Current opinion in behavioral sciences 29, 134-143, 2019 | 19 | 2019 |
| 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), 1-16, 2022 | 5* | 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 | 4 | 2022 |
| Towards the next generation of recurrent network models for cognitive neuroscience GR Yang, M Molano-Mazón Current opinion in neurobiology 70, 182-192, 2021 | 4 | 2021 |
| 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 | 3 | 2021 |
| Evolving the olfactory system with machine learning PY Wang, Y Sun, R Axel, LF Abbott, GR Yang Neuron 109 (23), 3879-3892. e5, 2021 | 2 | 2021 |
| Biological learning in key-value memory networks D Tyulmankov*, C Fang*, A Vadaparty, GR Yang Thirty-Fifth Conference on Neural Information Processing Systems, 2021 | 1* | 2021 |
| Do Biologically-Realistic Recurrent Architectures Produce Biologically-Realistic Models? G Lindsay, T Moskovitz, GR Yang, K Miller 2019 Conference on Cognitive Computational Neuroscience, 2019 | 1 | 2019 |
| 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 | 1 | 2019 |
Xiao-Jing WangGlobal Professor of Neural Science, New York UniversityVerified email at nyu.edu
