no code implementations • 4 Nov 2016 • Wentao Huang, Kechen Zhang
While Shannon's mutual information has widespread applications in many disciplines, for practical applications it is often difficult to calculate its value accurately for high-dimensional variables because of the curse of dimensionality.
no code implementations • 7 Nov 2016 • Wentao Huang, Kechen Zhang
Starting from the initial solution, an efficient algorithm based on gradient descent of the final objective function is proposed to learn representations from the input datasets, and the method works for complete, overcomplete, and undercomplete bases.
no code implementations • 1 Feb 2017 • Wentao Huang, Xin Huang, Kechen Zhang
We have developed an efficient information-maximization method for computing the optimal shapes of tuning curves of sensory neurons by optimizing the parameters of the underlying feedforward network model.
no code implementations • 15 Sep 2019 • Joseph D. Monaco, Grace M. Hwang, Kevin M. Schultz, Kechen Zhang
Animals and many-robot groups must solve common problems of navigating complex and uncertain environments.
no code implementations • 12 Sep 2021 • Elise Buckley, Joseph D. Monaco, Kevin M. Schultz, Robert Chalmers, Armin Hadzic, Kechen Zhang, Grace M. Hwang, M. Dwight Carr
This article discusses how to create an interactive virtual training program at the intersection of neuroscience, robotics, and computer science for high school students.
no code implementations • 31 Oct 2021 • Armin Hadzic, Grace M. Hwang, Kechen Zhang, Kevin M. Schultz, Joseph D. Monaco
Dynamical systems models for controlling multi-agent swarms have demonstrated advances toward resilient, decentralized navigation algorithms.