Christopher J. Cueva

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 8

Top Topics

Structural Properties

Continuous Variables

Recurrent Neural Networks

Top Venues

Publications

Nathan Cloos, Moufan Li, Markus Siegel, Scott L. Brincat, Earl K. Miller, Guangyu Robert Yang, Christopher J. Cueva
Differentiable Optimization of Similarity Scores Between Models and Brains. CoRR (2024)
Nathan Cloos, Meagan Jens, Michelangelo Naim, Yen-Ling Kuo, Ignacio Cases, Andrei Barbu, Christopher J. Cueva
Baba Is AI: Break the Rules to Beat the Benchmark. CoRR (2024)
Christopher J. Cueva, Adel Ardalan, Misha Tsodyks, Ning Qian
Recurrent neural network models for working memory of continuous variables: activity manifolds, connectivity patterns, and dynamic codes. CoRR (2021)
Christopher J. Cueva, Peter Y. Wang, Matthew Chin, Xue-Xin Wei
Emergence of functional and structural properties of the head direction system by optimization of recurrent neural networks. ICLR (2020)
Christopher J. Cueva, Peter Y. Wang, Matthew Chin, Xue-Xin Wei
Emergence of functional and structural properties of the head direction system by optimization of recurrent neural networks. CoRR (2019)
Christopher J. Cueva, Xue-Xin Wei
Emergence of grid-like representations by training recurrent neural networks to perform spatial localization. CoRR (2018)
Christopher J. Cueva, Xue-Xin Wei
Emergence of grid-like representations by training recurrent neural networks to perform spatial localization. ICLR (Poster) (2018)
Brian DePasquale, Christopher J. Cueva, Kanaka Rajan, G. Sean Escola, L. F. Abbott
full-FORCE: A Target-Based Method for Training Recurrent Networks. CoRR (2017)