Evidence map›Paper›PMID 27704170›Full record

ArticleJournal of mathematical biology2017

Memory and adaptive behavior in population dynamics: anti-predator behavior as a case study.

Alexander Pimenov, Thomas C Kelly, Andrei Korobeinikov, Michael J O'Callaghan, Dmitrii Rachinskii

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Article in Journal of mathematical biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Alexander PimenovWeierstrass Institute, Berlin, Germany.
Thomas C KellyUniversity College Cork, Cork, Ireland.
Andrei KorobeinikovCentre de Recerca Matemática, Barcelona, Spain.
Michael J O'CallaghanUniversity College Cork, Cork, Ireland.
Dmitrii RachinskiiThe University of Texas at Dallas, Richardson, USA. dmitry.rachinskiy@utdallas.edu.ORCID 0000-0003-2786-7205

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Memory allows organisms to forecast the future on the basis of experience, and thus, in some form, is important for the development of flexible adaptive behavior by animal communities. To model memory, we use the concept of hysteresis, which mathematically is described by the Preisach operator. As a case study, we consider anti-predator adaptation in the classic Lotka-Volterra predator-prey model. Despite its simplicity, the model allows us to naturally incorporate essential features of an adaptive system and memory. Our analysis and simulations show that a system with memory can have a continuum of equilibrium states with non-trivial stability properties. The main factor that determines the actual equilibrium state to which a trajectory converges is the maximal number achieved by the population of predator along this trajectory.

Indexed as

Adaptation, PsychologicalAdaptation, PhysiologicalAnimalsComputer SimulationEcosystemFood ChainMathematical ConceptsMemoryModels, BiologicalModels, PsychologicalPopulation DynamicsPredatory BehaviorAdaptationBi-stabilityHysteresisPredator-prey modelPreisach operatorRefuge

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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.