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Bird-Inspired Self-Navigating Artificial Synaptic Compass.

Youngwoo Kim1, Kyuho Lee1, Junseok Lee1

  • 1Department of Materials Science and Engineering, Yonsei University, Yonsei-ro 50, Seodaemun-gu, Seoul, 03722, Republic of Korea.

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|November 18, 2021
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Summary
This summary is machine-generated.

This study introduces an artificial magnetoreceptive synapse inspired by birds. This novel neuromorphic device mimics magnetocognition for navigation and orientation, enabling intelligent electronic systems.

Keywords:
artificially intelligent compassextrasensory synapseferroelectric-gate field-effect transistormagnetoreceptive artificial synapseself-navigating compasssuspended gate with superparamagnetic cluster

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Area of Science:

  • Neuromorphic engineering
  • Bio-inspired electronics
  • Magnetosensation

Background:

  • Extrasensory neuromorphic devices are key for interactive intelligent electronics.
  • Birds utilize magnetocognition for navigation and orientation.
  • Developing artificial systems that perceive imperceptible stimuli is a significant research area.

Purpose of the Study:

  • To present an artificially intelligent magnetoreceptive synapse.
  • To mimic the magnetocognitive abilities of birds for navigation.
  • To create a synaptic platform for sensing magnetic fields.

Main Methods:

  • Utilized ferroelectric field-effect transistors with air-suspended magneto-interactive top-gates.
  • Engineered a suspended gate with superparamagnetic particles and conductive polymer.
  • Controlled magnetic-field-dependent contact area via mechanical deformation under a magnetic field.

Main Results:

  • Achieved analog conductance modulation based on magnetic pulse characteristics (magnitude, number, time interval).
  • Demonstrated electrical programming of ferroelectric remanent polarization via the deformed suspended gate.
  • Developed a functional magnetoreceptive synapse capable of learning and memory.

Conclusions:

  • The proposed magnetoreceptive synapse functions as an artificial synaptic compass.
  • This technology facilitates barrier-adaptable navigation and mapping for moving objects.
  • Opens new avenues for intelligent electronics and sensory augmentation.