1 citations · 1 across the 5 of their papers we have counts for
5 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…
A brain basis of dynamical intelligence for AI and computational neuroscience
Joseph D. Monaco, Kanaka Rajan, Grace M. Hwang
The deep neural nets of modern artificial intelligence (AI) have not achieved defining features of biological intelligence, including abstraction, causal learning, and energy-effic…
Analyzing Collective Motion Using Graph Fourier Analysis
Kevin Schultz, Marisel Villafane-Delgado, Elizabeth P. Reilly +2
Collective motion in animal groups, such as swarms of insects, flocks of birds, and schools of fish, are some of the most visually striking examples of emergent behavior. Empirical…
Graph Signal Processing for Infrastructure Resilience: Suitability and Future Directions
Kevin Schultz, Marisel Villafane-Delgado, Elizabeth P. Reilly +2
Graph signal processing (GSP) is an emerging field developed for analyzing signals defined on irregular spatial structures modeled as graphs. Given the considerable literature rega…