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Plant leaf computing.

Andrew Adamatzky1

  • 1Unconventional Computing Laboratory, University of the West of England, Bristol BS16 1QY, UK.

Bio Systems
|February 16, 2019
PubMed
Summary

Plant action potentials, electrical signals, can be channeled through vascular networks. This study demonstrates plant-based computing is possible by manipulating these signals, paving the way for novel bio-electronic devices.

Area of Science:

  • Plant electrophysiology
  • Computational biology
  • Bio-inspired computing

Background:

  • Plants utilize action potentials as multi-functional signals.
  • Electrical conductivity in plants is primarily facilitated by the vascular network.
  • Geometric constraints within plant networks influence signal propagation and interaction.

Purpose of the Study:

  • To investigate the potential for plant-based computing.
  • To explore the theoretical underpinnings of using plant action potentials for computation.
  • To demonstrate the realization of Boolean functions using plant electrical signals.

Main Methods:

  • Modeling plant electrical signal propagation using the FitzHugh-Nagumo model.
  • Simulating the selective propagation and interaction of action potentials.
Keywords:
Boolean gatesComputingImpulsesPlantUnconventional computing

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  • Identifying electrode placement strategies for functional computation.

    • Main Results:

    • The FitzHugh-Nagumo model successfully simulated action potential channeling within geometrically constrained networks.
    • It is theoretically possible to realize a functionally complete set of Boolean functions.
    • Specific electrode placement allows for the control and interaction of plant electrical impulses.

    Conclusions:

    • Plant vascular networks can channel action potentials for complex signal processing.
    • Theoretical framework established for plant-based computing using electrical signals.
    • Results provide a foundation for experimental validation of plant bio-computing.