“Feature Detection” vs. “Predictive Coding” Models of Plant Behavior

• Published in: Frontiers in psychology Vol. 7; p. 1505
• Main Authors: Calvo, Paco, Baluška, František, Sims, Andrew
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 04.10.2016
• Subjects: Psychology; feature detection; plant behavior; predictive coding; plant perception; root transition zone
• ISSN: 1664-1078; 1664-1078
• DOI: 10.3389/fpsyg.2016.01505

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.