Christopher J. Cueva

15 papers A* 3Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2025 A* conf
Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example.
ICML
Yuhan Helena Liu, Guangyu Robert Yang, Christopher J. Cueva
2025 J jnl
Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example.
CoRR
Yuhan Helena Liu, Guangyu Robert Yang, Christopher J. Cueva
2025 A* conf
Differentiable Optimization of Similarity Scores Between Models and Brains.
ICLR
Nathan Cloos, Moufan Li, Markus Siegel, Scott L. Brincat, Earl K. Miller, Guangyu Robert Yang, Christopher J. Cueva
2025 J jnl
Getting aligned on representational alignment.
Trans. Mach. Learn. Res.
Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller, Andi Peng, Andreea Bobu, Been Kim, Bradley C. Love, Christopher J. Cueva, Erin Grant, Iris I. A. Groen, Jascha Achterberg, Joshua B. Tenenbaum, Katherine M. Collins, Katherine L. Hermann, Kerem Oktar, Klaus Greff, Martin N. Hebart, Nathan Cloos, Nikolaus Kriegeskorte, Nori Jacoby, Qiuyi Zhang, Raja Marjieh, Robert Geirhos, Sherol Chen, Simon Kornblith, Sunayana Rane, Talia Konkle, Thomas P. O'Connell, Thomas Unterthiner, Andrew Kyle Lampinen, Klaus-Robert Müller, Mariya Toneva, Thomas L. Griffiths
2024 J jnl
A Framework for Standardizing Similarity Measures in a Rapidly Evolving Field.
CoRR
Nathan Cloos, Guangyu Robert Yang, Christopher J. Cueva
2024 J jnl
Baba Is AI: Break the Rules to Beat the Benchmark.
CoRR
Nathan Cloos, Meagan Jens, Michelangelo Naim, Yen-Ling Kuo, Ignacio Cases, Andrei Barbu, Christopher J. Cueva
2024 J jnl
Differentiable Optimization of Similarity Scores Between Models and Brains.
CoRR
Nathan Cloos, Moufan Li, Markus Siegel, Scott L. Brincat, Earl K. Miller, Guangyu Robert Yang, Christopher J. Cueva
2024 J jnl
Emergent neural dynamics and geometry for generalization in a transitive inference task.
PLoS Comput. Biol.
Kenneth Kay, Natalie Biderman, Ramin Khajeh, Manuel Beiran, Christopher J. Cueva, Daphna Shohamy, Greg Jensen, Xue-Xin Wei, Vincent P. Ferrera, L. F. Abbott
2021 J jnl
Recurrent neural network models for working memory of continuous variables: activity manifolds, connectivity patterns, and dynamic codes.
CoRR
Christopher J. Cueva, Adel Ardalan, Misha Tsodyks, Ning Qian
2020 A* conf
Emergence of functional and structural properties of the head direction system by optimization of recurrent neural networks.
ICLR
Christopher J. Cueva, Peter Y. Wang, Matthew Chin, Xue-Xin Wei
2019 J jnl
Emergence of functional and structural properties of the head direction system by optimization of recurrent neural networks.
CoRR
Christopher J. Cueva, Peter Y. Wang, Matthew Chin, Xue-Xin Wei
2019 — —
Recurrent computation in brains and machines.
Christopher J. Cueva
2018 — conf
Emergence of grid-like representations by training recurrent neural networks to perform spatial localization.
ICLR (Poster)
Christopher J. Cueva, Xue-Xin Wei
2018 J jnl
Emergence of grid-like representations by training recurrent neural networks to perform spatial localization.
CoRR
Christopher J. Cueva, Xue-Xin Wei
2017 J jnl
full-FORCE: A Target-Based Method for Training Recurrent Networks.
CoRR
Brian DePasquale, Christopher J. Cueva, Kanaka Rajan, G. Sean Escola, L. F. Abbott