Literature DB >> 18166394

A simple Hopfield-like cellular network model of plant intelligence.

Jun-ichi Inoue1.   

Abstract

We introduce a simple Hopfield-like cellular-network model to explain a kind of "intelligence" in plants (Trewavas, 2002), especially, the capacity of plants to act as a memory device. Following earlier observations by Indian scientist J.C. Bose (1923), we regard the plant as a network in which each of the elements is connected via negative interactions. We investigate properties of the model by statistical mechanics.

Mesh:

Year:  2008        PMID: 18166394     DOI: 10.1016/S0079-6123(07)68014-5

Source DB:  PubMed          Journal:  Prog Brain Res        ISSN: 0079-6123            Impact factor:   2.453


  5 in total

Review 1.  Plant intelligence: why, why not or where?

Authors:  Fatima Cvrcková; Helena Lipavská; Viktor Zárský
Journal:  Plant Signal Behav       Date:  2009-05-24

2.  Experience teaches plants to learn faster and forget slower in environments where it matters.

Authors:  Monica Gagliano; Michael Renton; Martial Depczynski; Stefano Mancuso
Journal:  Oecologia       Date:  2014-01-05       Impact factor: 3.225

3.  Technological Approach to Mind Everywhere: An Experimentally-Grounded Framework for Understanding Diverse Bodies and Minds.

Authors:  Michael Levin
Journal:  Front Syst Neurosci       Date:  2022-03-24

4.  The stability of memories during brain remodeling: A perspective.

Authors:  Douglas J Blackiston; Tal Shomrat; Michael Levin
Journal:  Commun Integr Biol       Date:  2015-08-27

5.  Towards a Physarum learning chip.

Authors:  James G H Whiting; Jeff Jones; Larry Bull; Michael Levin; Andrew Adamatzky
Journal:  Sci Rep       Date:  2016-02-03       Impact factor: 4.379

  5 in total

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