Evidence map›Paper›PMID 27757094›Full record

ArticleFrontiers in psychology2016

"Feature Detection" vs. "Predictive Coding" Models of Plant Behavior.

Paco Calvo, František Baluška, Andrew Sims

Abstract read
In one paragraph

Article in Frontiers in psychology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Plant Bioinspired Ecological Robotics.Frontiers in robotics and AI · 2020
    Article
  8. Article
  9. Predicting green: really radical (plant) predictive processing.Journal of the Royal Society, Interface · 2017
    Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Paco CalvoMinimal Intelligence Lab (MINT Lab), Department of Philosophy, University of MurciaMurcia, Spain; School of Philosophy, Psychology and Language Sciences, School of Biological Sciences, University of EdinburghEdinburgh, UK.
František BaluškaInstitute of Cellular and Molecular Botany, University of Bonn Bonn, Germany.
Andrew SimsInstitut Supérieur de Philosophie, Université Catholique de Louvain Louvain, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this article we consider the possibility that plants exhibit anticipatory behavior, a mark of intelligence. If plants are able to anticipate and respond accordingly to varying states of their surroundings, as opposed to merely responding online to environmental contingencies, then such capacity may be in principle testable, and subject to empirical scrutiny. Our main thesis is that adaptive behavior can only take place by way of a mechanism that predicts the environmental sources of sensory stimulation. We propose to test for anticipation in plants experimentally by contrasting two empirical hypotheses: "feature detection" and "predictive coding." We spell out what these contrasting hypotheses consist of by way of illustration from the animal literature, and consider how to transfer the rationale involved to the plant literature.

Indexed as

feature detectionplant behaviorplant perceptionpredictive codingroot transition zone

Identifiers

PMID27757094
PMCPMC5047902

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.