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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.

Biological Cybernetics
|April 3, 2020
PubMed
Summary
This summary is machine-generated.

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.

Failed At:

2026-06-19T13:38:34.060576+00:00

Keywords:
EmergenceMulti-robot groupsOscillationsPlace cellsSpatial navigationSwarming

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