Toward Cognitive Navigation: Design and Implementation of a Biologically Inspired Head Direction Cell Network

As a vital cognitive function of animals, the navigation skill is first built on the accurate perception of the directional heading in the environment. Head direction cells (HDCs), found in the limbic system of animals, are proven to play an important role in identifying the directional heading allo...

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Bibliographic Details
Published in:IEEE transaction on neural networks and learning systems 2022-05, Vol.33 (5), p.2147-2158
Main Authors: Bing, Zhenshan, Sewisy, Amir EI, Zhuang, Genghang, Walter, Florian, Morin, Fabrice O., Huang, Kai, Knoll, Alois
Format: Article
Language:English
Subjects:
Angular velocity
Animal cognition
Animals
Autonomous driving
Biological system modeling
Cognition
Cognitive ability
cognitive navigation
Computational modeling
Computational neuroscience
Computer architecture
continuous attractor network (CAN)
Environment models
Head direction cells
head direction cells (HDCs)
Limbic system
Microprocessors
Navigation
Navigation behavior
Neural Networks, Computer
neural simultaneous localization and mapping (SLAM)
Neurons
Robotics
Turning
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Summary:As a vital cognitive function of animals, the navigation skill is first built on the accurate perception of the directional heading in the environment. Head direction cells (HDCs), found in the limbic system of animals, are proven to play an important role in identifying the directional heading allocentrically in the horizontal plane, independent of the animal's location and the ambient conditions of the environment. However, practical HDC models that can be implemented in robotic applications are rarely investigated, especially those that are biologically plausible and yet applicable to the real world. In this article, we propose a computational HDC network that is consistent with several neurophysiological findings concerning biological HDCs and then implement it in robotic navigation tasks. The HDC network keeps a representation of the directional heading only relying on the angular velocity as an input. We examine the proposed HDC model in extensive simulations and real-world experiments and demonstrate its excellent performance in terms of accuracy and real-time capability.
ISSN:2162-237X
2162-2388
DOI:10.1109/TNNLS.2021.3128380