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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.
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.
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.
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