Do plants pay attention? A possible phenomenological-empirical approach.

Cognitive psychology Complex systems Consciousness Electrome Phenomenology Plant cognition

Journal

Progress in biophysics and molecular biology
ISSN: 1873-1732
Titre abrégé: Prog Biophys Mol Biol
Pays: England
ID NLM: 0401233

Informations de publication

Date de publication:
09 2022
Historique:
received: 08 04 2022
revised: 17 05 2022
accepted: 25 05 2022
pubmed: 1 6 2022
medline: 27 7 2022
entrez: 31 5 2022
Statut: ppublish

Résumé

Attention is the important ability of flexibly controlling limited cognitive resources. It ensures that organisms engage with the activities and stimuli that are relevant to their survival. Despite the cognitive capabilities of plants and their complex behavioural repertoire, the study of attention in plants has been largely neglected. In this article, we advance the hypothesis that plants are endowed with the ability of attaining attentive states. We depart from a transdisciplinary basis of philosophy, psychology, physics and plant ecophysiology to propose a framework that seeks to explain how plant attention might operate and how it could be studied empirically. In particular, the phenomenological approach seems particularly important to explain plant attention theoretically, and plant electrophysiology seems particularly suited to study it empirically. We propose the use of electrophysiological techniques as a viable way for studying it, and we revisit previous work to support our hypothesis. We conclude this essay with some remarks on future directions for the study of plant attention and its implications to botany.

Identifiants

pubmed: 35636584
pii: S0079-6107(22)00053-0
doi: 10.1016/j.pbiomolbio.2022.05.008
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

11-23

Informations de copyright

Copyright © 2022 Elsevier Ltd. All rights reserved.

Auteurs

André Geremia Parise (AG)

Laboratory of Plant Cognition and Electrophysiology (LACEV), Department of Botany, Institute of Biology, Federal University of Pelotas, Pelotas, RS, Brazil. Electronic address: andregparise@gmail.com.

Gabriel Ricardo Aguilera de Toledo (GRA)

Laboratory of Plant Cognition and Electrophysiology (LACEV), Department of Botany, Institute of Biology, Federal University of Pelotas, Pelotas, RS, Brazil.

Thiago Francisco de Carvalho Oliveira (TFC)

Laboratory of Plant Cognition and Electrophysiology (LACEV), Department of Botany, Institute of Biology, Federal University of Pelotas, Pelotas, RS, Brazil.

Gustavo Maia Souza (GM)

Laboratory of Plant Cognition and Electrophysiology (LACEV), Department of Botany, Institute of Biology, Federal University of Pelotas, Pelotas, RS, Brazil.

Umberto Castiello (U)

Neuroscience of Movement Laboratory (NEMO), Department of General Psychology, University of Padova, Padova, Italy.

Monica Gagliano (M)

Biological Intelligence Laboratory (BI Lab), School of Environment, Science and Engineering, Southern Cross University, Lismore, NSW, Australia.

Michael Marder (M)

Ikerbasque: Basque Foundation for Science & Department of Philosophy, University of the Basque Country (UPV/EHU), Spain.

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Classifications MeSH