Literature DB >> 16586084

Mechanical reconfiguration mediates swallowing and rejection in Aplysia californica.

Valerie A Novakovic1, Gregory P Sutton, David M Neustadter, Randall D Beer, Hillel J Chiel.   

Abstract

Muscular hydrostats, such as tongues, trunks or tentacles, have fewer constraints on their degrees of freedom than musculoskeletal systems, so changes in a structure's shape may alter the positions and lengths of other components (i.e., induce mechanical reconfiguration). We studied mechanical reconfiguration during rejection and swallowing in the marine mollusk Aplysia californica. During rejection, inedible material is pushed out of an animal's buccal cavity. The grasper (radula/odontophore) closes on inedible material, and then a posterior muscle, I2, pushes the grasper toward the jaws (protracts it). After the material is released, an anterior muscle complex (the I1/I3/jaw complex) pushes the grasper toward the esophagus (retracts it). During swallowing, the grasper is protracted open, and then retracts closed, pulling in food. Grasper closure changes its shape. Magnetic resonance images show that grasper closure lengthens I2. A kinetic model quantified the changes in the ability of I2 and I1/I3 to exert force as grasper shape changed. Grasper closure increases I2's ability to protract during rejection, and increases I1/I3's ability to retract during swallowing. Motor neurons controlling radular closure may therefore affect the behavioral outputs of I2's and I1/I3's motor neurons. Thus, motor neurons may modulate the outputs of other motor neurons through mechanical reconfiguration.

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Year:  2006        PMID: 16586084     DOI: 10.1007/s00359-006-0124-7

Source DB:  PubMed          Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol        ISSN: 0340-7594            Impact factor:   1.836


  43 in total

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5.  Control for multifunctionality: bioinspired control based on feeding in Aplysia californica.

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Journal:  J Comput Neurosci       Date:  2014-09-04       Impact factor: 1.621

7.  Robustness, flexibility, and sensitivity in a multifunctional motor control model.

Authors:  David N Lyttle; Jeffrey P Gill; Kendrick M Shaw; Peter J Thomas; Hillel J Chiel
Journal:  Biol Cybern       Date:  2016-12-21       Impact factor: 2.086

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Authors:  Catherine E Kehl; Joey Wu; Sisi Lu; David M Neustadter; Richard F Drushel; Rebekah K Smoldt; Hillel J Chiel
Journal:  J Exp Biol       Date:  2019-08-19       Impact factor: 3.312

9.  Computational model of the distributed representation of operant reward memory: combinatoric engagement of intrinsic and synaptic plasticity mechanisms.

Authors:  Renan M Costa; Douglas A Baxter; John H Byrne
Journal:  Learn Mem       Date:  2020-05-15       Impact factor: 2.460

  9 in total

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