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Christopher J. Cueva

Observed names: Christopher Cueva, Christopher J Cueva, Christopher J. Cueva, Cueva, Christopher, Cueva, Christopher J.
Observed institutions: University of Science and Technology of China, Howard Hughes Medical Institute, McGovern Institute for Brain Research, Brown University, Stanford Medicine, Mortimer B. Zuckerman Mind Brain Behavior Institute, University of Virginia, Massachusetts Institute of Technology, Columbia University, Stanford University
ORCID: 0000-0002-0761-6161
Observed ORCID: 0000-0002-0761-6161
OpenAlex ID: A5059572012
Emergence of grid-like representations by training recurrent neural networks to perform spatial localization
2018 · Cueva, Christopher J., Wei, Xue-Xin · arXiv (Cornell University) · 258
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Getting aligned on representational alignment
2023 · Sucholutsky, Ilia, Muttenthaler, Lukas, et al. · arXiv (Cornell University) · 177
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Low-dimensional dynamics for working memory and time encoding
2020 · Christopher J. Cueva, Alex Saez, et al. · Proceedings of the National Academy of Sciences · 161
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Dynamics of Neural Population Responses in Prefrontal Cortex Indicate Changes of Mind on Single Trials
2014 · Roozbeh Kiani, Christopher J. Cueva, et al. · Current Biology · 160
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full-FORCE: A target-based method for training recurrent networks
2018 · Brian DePasquale, Christopher J. Cueva, et al. · PLoS ONE · 123
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Natural Grouping of Neural Responses Reveals Spatially Segregated Clusters in Prearcuate Cortex
2015 · Roozbeh Kiani, Christopher J. Cueva, et al. · Neuron · 92
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Visual perception as retrospective Bayesian decoding from high- to low-level features
2017 · Stephanie Ding, Christopher J. Cueva, et al. · Proceedings of the National Academy of Sciences · 39
Emergence of functional and structural properties of the head direction system by optimization of recurrent neural networks
2019 · Cueva, Christopher J., Wang, Peter Y., et al. · arXiv (Cornell University) · 29
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NeuroGym: An open resource for developing and sharing neuroscience tasks
2022 · Manuel Molano-Mazon, Joao Barbosa, et al. · PsyArXiv (OSF Preprints) · 22
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Emergent neural dynamics and geometry for generalization in a transitive inference task
2024 · Kenneth Kay, Natalie Biderman, et al. · PLoS Computational Biology · 17
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Recurrent neural network models for working memory of continuous variables: activity manifolds, connectivity patterns, and dynamic codes
2021 · Cueva, Christopher J., Ardalan, Adel, et al. · arXiv (Cornell University) · 15
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Natural constraints explain working memory capacity limitations in sensory-cognitive models
2023 · Yudi Xie, Yu Duan, et al. · bioRxiv (Cold Spring Harbor Laboratory) · 13
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Baba Is AI: Break the Rules to Beat the Benchmark
2024 · Cloos, Nathan, Jens, Meagan, et al. · arXiv (Cornell University) · 10
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Differentiable Optimization of Similarity Scores Between Models and Brains
2024 · Cloos, Nathan, Li, Moufan, et al. · arXiv (Cornell University) · 9
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Overcoming sensory-memory interference in working memory circuits
2025 · Andrii Zahorodnii, Diego Mendoza-Halliday, et al. · bioRxiv (Cold Spring Harbor Laboratory) · 4
NeuroGym: An open resource for developing and sharing neuroscience tasks
2026 · Giulia Crocioni, Alexander Hadjiivanov, et al. · PsyArXiv (OSF Preprints) · 1
Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example
2025 · Liu, Yuhan Helena, Yang, Guangyu Robert, et al. · arXiv (Cornell University) · 1
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A Framework for Standardizing Similarity Measures in a Rapidly Evolving Field
2024 · Cloos, Nathan, Yang, Guangyu Robert, et al. · arXiv (Cornell University) · 1
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Compositional recombination is facilitated by a distributed cortico-cerebellar network
2026 · Joshua B. Tan, Isabella F. Orlando, et al. · Cell Reports
Compositional Recombination Relies on a Distributed Cortico-Cerebellar Network
2025 · James Shine, Joshua Tan, et al. · Research Square
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Compositional Recombination Relies on a Distributed Cortico-Cerebellar Network
2025 · Joshua Bradley Chan Tan, Isabella F Orlando, et al. · bioRxiv (Cold Spring Harbor Laboratory)
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Inversion of feature preference in visual cortical neurons during working memory and attention
2025 · Diego Mendoza-Halliday, Andrii Zahorodnii, et al. · Journal of Vision
A morphing map model for place field organization in large environments
2024 · Michelangelo Naim, Mikail Khona, et al. · bioRxiv (Cold Spring Harbor Laboratory)
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Overcoming sensory-memory interference: three solutions and their experimental signatures
2023 · Andrii Zahorodnii, Christopher J. Cueva · Conference on Cognitive Computational Neuroscience (CCN)
Human-like capacity limitation in multi-system models of working memory
2022 · Yudi Xie, Yu Duan, et al. · Conference on Cognitive Computational Neuroscience (CCN)
Works count: 30
Citation count: 1,132
H-index: 12
I10-index: 13
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