Christopher J. Cueva

According to our database, Christopher J. Cueva authored at least 9 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Emergent neural dynamics and geometry for generalization in a transitive inference task.

Kenneth Kay, Natalie Biderman, Ramin Khajeh, Manuel Beiran, Christopher J. Cueva, Daphna Shohamy, Greg Jensen, Xue-Xin Wei, Vincent P. Ferrera, L. F. Abbott

PLoS Comput. Biol., 2024

A Framework for Standardizing Similarity Measures in a Rapidly Evolving Field.

Nathan Cloos, Guangyu Robert Yang, Christopher J. Cueva

CoRR, 2024

Baba Is AI: Break the Rules to Beat the Benchmark.

Nathan Cloos, Meagan Jens, Michelangelo Naim, Yen-Ling Kuo, Ignacio Cases, Andrei Barbu, Christopher J. Cueva

CoRR, 2024

Differentiable Optimization of Similarity Scores Between Models and Brains.

Nathan Cloos, Moufan Li, Markus Siegel, Scott L. Brincat, Earl K. Miller, Guangyu Robert Yang, Christopher J. Cueva

CoRR, 2024

2021

Recurrent neural network models for working memory of continuous variables: activity manifolds, connectivity patterns, and dynamic codes.

Christopher J. Cueva, Adel Ardalan, Misha Tsodyks, Ning Qian

CoRR, 2021

2020

Emergence of functional and structural properties of the head direction system by optimization of recurrent neural networks.

Christopher J. Cueva, Peter Y. Wang, Matthew Chin, Xue-Xin Wei

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Recurrent computation in brains and machines.

Christopher J. Cueva

PhD thesis, 2019

2018

Emergence of grid-like representations by training recurrent neural networks to perform spatial localization.

Christopher J. Cueva, Xue-Xin Wei

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

full-FORCE: A Target-Based Method for Training Recurrent Networks.

Brian DePasquale, Christopher J. Cueva, Kanaka Rajan, G. Sean Escola, L. F. Abbott

CoRR, 2017