Evidence map›Paper›PMID 40622423›Full record

ArticleBiological cybernetics2025

Incorporating buccal mass planar mechanics and anatomical features improves neuromechanical modeling of Aplysia feeding behavior.

Michael J Bennington, Ashlee S Liao, Ravesh Sukhnandan, Bidisha Kundu, Stephen M Rogers, Jeffrey P Gill, Jeffrey M McManus, Gregory P Sutton, Hillel J Chiel, Victoria A Webster-Wood

Abstract read
In one paragraph

Article in Biological cybernetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Michael J BenningtonDepartment of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA.ORCID 0000-0001-7940-6297
Ashlee S LiaoDepartment of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA.ORCID 0000-0002-1828-8773
Ravesh SukhnandanDepartment of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA.ORCID 0000-0001-5858-9610
Bidisha KunduSchool of Life Sciences, University of Lincoln, Lincoln, LN6 7TS, UK.ORCID 0000-0003-0886-2468
Stephen M RogersSchool of Life Sciences, University of Lincoln, Lincoln, LN6 7TS, UK.ORCID 0000-0002-6973-3996
Jeffrey P GillDepartment of Biology, Case Western Reserve University, Cleveland, OH, USA.ORCID 0000-0002-4115-8045
Jeffrey M McManusDepartment of Biology, Case Western Reserve University, Cleveland, OH, USA.ORCID 0000-0003-2613-9425
Gregory P SuttonSchool of Life Sciences, University of Lincoln, Lincoln, LN6 7TS, UK.ORCID 0000-0002-3099-9842
Hillel J ChielDepartment of Biology, Case Western Reserve University, Cleveland, OH, USA.ORCID 0000-0002-1750-8500
Victoria A Webster-WoodDepartment of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA. vwebster@andrew.cmu.edu.ORCID 0000-0001-6638-2687

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To understand how behaviors arise in animals, it is necessary to investigate both the neural circuits and the biomechanics of the periphery. A tractable model system for studying multifunctional control is the feeding apparatus of the marine mollusk Aplysia californica. Previous in silico and in roboto models have investigated how the nervous and muscular systems interact in this system. However, these models are still limited in their ability to match in vivo data both qualitatively and quantitatively. We introduce a new neuromechanical model of Aplysia feeding that combines a modified version of a previously developed neural model with a novel biomechanical model that better reflects the anatomy and kinematics of Aplysia feeding. The model was calibrated using a combination of previously measured biomechanical parameters and hand-tuning to behavioral data. Using this model, simulated feeding experiments were conducted, and the resulting behavioral metrics were compared to animal data. The model successfully produces three key behaviors seen in Aplysia and demonstrates a good quantitative agreement with biting and swallowing behaviors. Additional work is needed to match rejection behavior quantitatively and to reflect qualitative observations related to the relative contributions of two key muscles, the hinge and I3. Future improvements will focus on incorporating the effects of deformable 3D structures in the simulated buccal mass.

Indexed as

AplysiaFeeding BehaviorModels, BiologicalModels, NeurologicalAnimalsBiomechanical PhenomenaComputer SimulationAplysia californicaComputational modelNeuromechanicsQuasistatic mechanics

Identifiers

PMID40622423
PMCPMC12234631

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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.