6 citations · 9 across the 6 of their papers we have counts for
6 papers
Bayesian optimization of distributed neurodynamical controller models for spatial navigation
Armin Hadzic, Grace M. Hwang, Kechen Zhang +2
Dynamical systems models for controlling multi-agent swarms have demonstrated advances toward resilient, decentralized navigation algorithms. We previously introduced the NeuroSwar…
An interdisciplinary approach to high school curriculum development: Swarming Powered by Neuroscience
Elise Buckley, Joseph D. Monaco, Kevin M. Schultz +5
This article discusses how to create an interactive virtual training program at the intersection of neuroscience, robotics, and computer science for high school students. A four-da…
Approximations of Shannon Mutual Information for Discrete Variables with Applications to Neural Population Coding
Wentao Huang, Kechen Zhang
Although Shannon mutual information has been widely used, its effective calculation is often difficult for many practical problems, including those in neural population coding. Asy…
Building a Dynamical Network Model from Neural Spiking Data: Application of Poisson Likelihood
Ozgur Doruk, Kechen Zhang
Research showed that, the information transmitted in biological neurons is encoded in the instants of successive action potentials or their firing rate. In addition to that, in-viv…
Fitting of dynamic recurrent neural network models to sensory stimulus-response data
R. Ozgur Doruk, Kechen Zhang
We present a theoretical study aiming at model fitting for sensory neurons. Conventional neural network training approaches are not applicable to this problem due to lack of contin…
Information-theoretic interpretation of tuning curves for multiple motion directions
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 f…