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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.
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.
On the role of theory and modeling in neuroscience
In recent years, the field of neuroscience has gone through rapid experimental advances and a significant increase in the use of quantitative and computational methods.
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.
