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The compass is a fundamental instrument that operates by aligning its magnetic needle with Earth's magnetic field. This alignment facilitates navigation and orientation, offering a means to determine direction relative to magnetic north. However, the magnetic needle points to magnetic north, which differs slightly from true geographic north due to magnetic declination, which is the angular deviation between these two points. Declination varies based on geographic location and shifts over time...
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Polarized light compass decoding.

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    Insect brains use polarized light for navigation. New decoding methods and pre-training enhance artificial neural network heading accuracy by utilizing more neural information and filtering weak signals.

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    Area of Science:

    • Neuroscience
    • Artificial Intelligence
    • Biomimicry

    Background:

    • Insects utilize polarized light for celestial navigation, encoding heading information.
    • Artificial neural networks (ANNs) are inspired by insect navigation but face limitations in decoding heading information.

    Purpose of the Study:

    • To improve the heading determination accuracy of polarized light compass ANNs.
    • To develop novel decoding methods that leverage more neural information and address neuron activation thresholds.

    Main Methods:

    • Designed an exponential function encoding method for ANN stability.
    • Proposed Average Value Decoding (AVD) and Weighted AVD to utilize information from multiple neurons.
    • Introduced Threshold Value Decoding (TVD) and Weighted TVD to mitigate interference from low-activation neurons.
    • Implemented pre-training to enhance ANN heading determination accuracy.

    Main Results:

    • New decoding methods (AVD, Weighted AVD, TVD, Weighted TVD) effectively utilize heading information from multiple neurons.
    • Pre-training significantly improves the heading determination accuracy of the ANN.
    • Simulation and experimental results validate the effectiveness of the proposed methods.

    Conclusions:

    • The developed decoding strategies and pre-training approach substantially enhance ANN performance in polarized light-based navigation.
    • This research offers a more robust and accurate artificial polarized light compass by incorporating principles from insect neurobiology.