Evidence map›Paper›PMID 38769189›Full record

ArticleBiological cybernetics2024

A computational neural model that incorporates both intrinsic dynamics and sensory feedback in the Aplysia feeding network.

Yanjun Li, Victoria A Webster-Wood, Jeffrey P Gill, Gregory P Sutton, Hillel J Chiel, Roger D Quinn

Abstract read
In one paragraph

Article in Biological cybernetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

6 authors.

Yanjun LiDepartment of Mechanical and Aerospace Engineering, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH, 44106, USA.ORCID 0000-0002-2534-7049
Victoria A Webster-WoodDepartment of Mechanical Engineering, Carnegie Mellon University, 5000 Forbes Ave., Pittsburgh, PA, 15213, USA. vwebster@andrew.cmu.edu.ORCID 0000-0001-6638-2687
Jeffrey P GillDepartment of Biology, Case Western Reserve University, 2080 Adelbert Road, Cleveland, OH, 44106, USA.ORCID 0000-0002-4115-8045
Gregory P SuttonDepartment of Life Sciences, University of Lincoln, Brayford Pool, Lincoln, Lincolnshire, LN6 7TS, UK.ORCID 0000-0002-3099-9842
Hillel J ChielDepartment of Biology, Case Western Reserve University, 2080 Adelbert Road, Cleveland, OH, 44106, USA.ORCID 0000-0002-1750-8500
Roger D QuinnDepartment of Mechanical and Aerospace Engineering, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH, 44106, USA.ORCID 0000-0002-8504-7160

Funding

A novel approach to analyzing functional connectomics and combinatorial control in a tractable small-brain closed-loop systemR01NS118606 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BYRNE, JOHN H, CHESTEK, CYNTHIA ANNE · 2023 to 2024
$1.7M
National Science Foundation DBI2015317National Science Foundation IIS1704436NIH HHS R01NS118606NINDS NIH HHS R01 NS118606
6 · The paper itself

Abstract

Studying the nervous system underlying animal motor control can shed light on how animals can adapt flexibly to a changing environment. We focus on the neural basis of feeding control in Aplysia californica. Using the Synthetic Nervous System framework, we developed a model of Aplysia feeding neural circuitry that balances neurophysiological plausibility and computational complexity. The circuitry includes neurons, synapses, and feedback pathways identified in existing literature. We organized the neurons into three layers and five subnetworks according to their functional roles. Simulation results demonstrate that the circuitry model can capture the intrinsic dynamics at neuronal and network levels. When combined with a simplified peripheral biomechanical model, it is sufficient to mediate three animal-like feeding behaviors (biting, swallowing, and rejection). The kinematic, dynamic, and neural responses of the model also share similar features with animal data. These results emphasize the functional roles of sensory feedback during feeding.

Indexed as

AplysiaFeedback, SensoryFeeding BehaviorModels, NeurologicalAnimalsBiomechanical PhenomenaComputer SimulationNerve NetNeural Networks, ComputerNeuronsAplysiaCentral pattern generatorComputational neuroscienceMotor controlSensory feedback

Identifiers

PMID38769189
PMCPMC11289348

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Registered trials

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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.