Cognitive swarming in complex environments with attractor dynamics and oscillatory computing

Joseph D Monaco1, Grace M Hwang2, Kevin M Schultz2

  • 1Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA. jmonaco@jhu.edu.

Summary

NeuroSwarms framework enables adaptive swarm control in artificial agents by mimicking rodent spatial cognition neural circuits. This advances understanding of navigation in complex environments for both animals and robots.

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