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Cognitive swarming in complex environments with attractor dynamics and oscillatory computing
Animals and many-robot groups must solve common problems of navigating complex and uncertain environments.
Graph Signal Processing for Infrastructure Resilience: Suitability and Future Directions
We assess a number of power distribution systems with respect to metrics of signal structure and identify several correlates to system properties and further demonstrate how these metrics relate to performance of some GSP techniques.
A brain basis of dynamical intelligence for AI and computational neuroscience
To motivate a brain basis of neural computation, we present a dynamical view of intelligence from which we elaborate concepts of sparsity in network structure, temporal dynamics, and interactive learning.
An interdisciplinary approach to high school curriculum development: Swarming Powered by Neuroscience
This article discusses how to create an interactive virtual training program at the intersection of neuroscience, robotics, and computer science for high school students.
Bayesian optimization of distributed neurodynamical controller models for spatial navigation
Dynamical systems models for controlling multi-agent swarms have demonstrated advances toward resilient, decentralized navigation algorithms.
