Search Results for author: Joseph D. Monaco

Found 5 papers, 0 papers with code

Bayesian optimization of distributed neurodynamical controller models for spatial navigation

no code implementations31 Oct 2021 Armin Hadzic, Grace M. Hwang, Kechen Zhang, Kevin M. Schultz, Joseph D. Monaco

Dynamical systems models for controlling multi-agent swarms have demonstrated advances toward resilient, decentralized navigation algorithms.

Efficient Exploration Gaussian Processes

An interdisciplinary approach to high school curriculum development: Swarming Powered by Neuroscience

no code implementations12 Sep 2021 Elise Buckley, Joseph D. Monaco, Kevin M. Schultz, Robert Chalmers, Armin Hadzic, Kechen Zhang, Grace M. Hwang, M. Dwight Carr

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

no code implementations15 May 2021 Joseph D. Monaco, Kanaka Rajan, Grace M. Hwang

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.

Cognitive swarming in complex environments with attractor dynamics and oscillatory computing

no code implementations15 Sep 2019 Joseph D. Monaco, Grace M. Hwang, Kevin M. Schultz, Kechen Zhang

Animals and many-robot groups must solve common problems of navigating complex and uncertain environments.

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