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Plants as electromic plastic interfaces: A mesological approach.

Marc-Williams Debono1, Gustavo Maia Souza2

  • 1PSA Research Group, Palaiseau, France.

Progress in Biophysics and Molecular Biology
|March 4, 2019
PubMed
Summary

Plants act as eco-plastic and electromic interfaces, exhibiting intelligent behaviors through synchronized electrical networks. Their electrome, a low voltage potential emission, is key to understanding plant cognition and adaptive responses to environmental changes.

Keywords:
CognitionEco-physiologyElectromeElectrophysiologyMesologyPlasticity

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Area of Science:

  • Plant electrophysiology
  • Plant neurobiology
  • Ecoinformatics

Background:

  • Traditional views often anthropomorphize plant behavior, leading to semantic challenges in defining plant cognition.
  • A pragmatic perspective is needed to understand plants as complex biosystemic entities capable of co-constructing reality.

Purpose of the Study:

  • To propose plants as eco-plastic and electromic interfaces driving emergent intelligent behaviors.
  • To highlight the electrome as a unifying factor in plant reactivity and a key to plant cognition.

Main Methods:

  • Conceptual framework integrating plant electrophysiology and ecological interactions.
  • Analysis of adaptive sensory modalities and perceptual binding in plants.
  • Focus on the role of spontaneous low voltage potentials (electrome) in plant responses.

Main Results:

  • Plants exhibit adaptive sensory modalities and global receptivity, leading to cognitive functions and learning.
  • The electrome, characterized by low voltage potentials, is an early marker of plant reactivity.
  • Plants function as knowledge-accumulating systems, utilizing mesological plasticity for environmental interaction.

Conclusions:

  • Plants are dynamic, eco-plastic interfaces that co-build their reality through reciprocal interactions.
  • The electrome is central to understanding plant intelligence and their role as active subjects in their environment.
  • Viewing plants through their electrical signaling offers a realistic model for their cognitive capabilities.