| Emergence of grid-like representations by training recurrent neural networks to perform spatial localization CJ Cueva, XX Wei International Conference on Learning Representations (ICLR), 2018 | 207 | 2018 |
| Dynamics of neural population responses in prefrontal cortex indicate changes of mind on single trials R Kiani, CJ Cueva, JB Reppas, WT Newsome Current Biology 24 (13), 1542-1547, 2014 | 170 | 2014 |
| full-FORCE: A target-based method for training recurrent networks B DePasquale, CJ Cueva, K Rajan, GS Escola, LF Abbott PloS one 13 (2), e0191527, 2018 | 140 | 2018 |
| Low-dimensional dynamics for working memory and time encoding CJ Cueva, A Saez, E Marcos, A Genovesio, M Jazayeri, R Romo, ... Proceedings of the National Academy of Sciences 117 (37), 23021-23032, 2020 | 125 | 2020 |
| Natural grouping of neural responses reveals spatially segregated clusters in prearcuate cortex R Kiani, CJ Cueva, JB Reppas, D Peixoto, SI Ryu, WT Newsome Neuron 85 (6), 1359-1373, 2015 | 101 | 2015 |
| Visual perception as retrospective Bayesian decoding from high-to low-level features S Ding, CJ Cueva, M Tsodyks, N Qian Proceedings of the National Academy of Sciences 114 (43), E9115-E9124, 2017 | 43 | 2017 |
| Emergence of functional and structural properties of the head direction system by optimization of recurrent neural networks CJ Cueva, PY Wang, M Chin, XX Wei International Conference on Learning Representations (ICLR Spotlight), 2019 | 36 | 2019 |
| NeuroGym: An open resource for developing and sharing neuroscience tasks M Molano-Mazon, J Barbosa, J Pastor-Ciurana, M Fradera, RUY ZHANG, ... PsyArXiv, 2022 | 13 | 2022 |
| Neural dynamics and geometry for transitive inference K Kay, XX Wei, R Khajeh, M Beiran, CJ Cueva, G Jensen, VP Ferrera, ... bioRxiv, 2022 | 6 | 2022 |
| Recurrent neural network models for working memory of continuous variables: activity manifolds, connectivity patterns, and dynamic codes CJ Cueva, A Ardalan, M Tsodyks, N Qian arXiv preprint arXiv:2111.01275, 2021 | 5 | 2021 |
| Natural constraints explain working memory capacity limitations in sensory-cognitive models Y Xie, Y Duan, A Cheng, P Jiang, CJ Cueva, GR Yang bioRxiv, 2023.03. 30.534982, 2023 | 2 | 2023 |
| Differentiable optimization of similarity scores between models and brains N Cloos, M Siegel, SL Brincat, EK Miller, CJ Cueva ICLR 2024 Workshop on Representational Alignment, 2024 | | 2024 |
| Scaling up the Evaluation of Recurrent Neural Network Models for Cognitive Neuroscience N Cloos, M Li, GR Yang, CJ Cueva Cognitive Computational Neuroscience, 2022 | | 2022 |
