Literature DB >> 27336738

The whole worm: brain-body-environment models of C. elegans.

Eduardo J Izquierdo1, Randall D Beer2.   

Abstract

Brain, body and environment are in continuous dynamical interaction, and it is becoming increasingly clear that an animal's behavior must be understood as a product not only of its nervous system, but also of the ongoing feedback of this neural activity through the biomechanics of its body and the ecology of its environment. Modeling has an essential integrative role to play in such an understanding. But successful whole-animal modeling requires an animal for which detailed behavioral, biomechanical and neural information is available and a modeling methodology which can gracefully cope with the constantly changing balance of known and unknown biological constraints. Here we review recent progress on both optogenetic techniques for imaging and manipulating neural activity and neuromechanical modeling in the nematode worm Caenorhabditis elegans. This work demonstrates both the feasibility and challenges of whole-animal modeling.
Copyright © 2016 Elsevier Ltd. All rights reserved.

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Year:  2016        PMID: 27336738     DOI: 10.1016/j.conb.2016.06.005

Source DB:  PubMed          Journal:  Curr Opin Neurobiol        ISSN: 0959-4388            Impact factor:   6.627


  9 in total

Review 1.  The Cognitive Lens: a primer on conceptual tools for analysing information processing in developmental and regenerative morphogenesis.

Authors:  Santosh Manicka; Michael Levin
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-06-10       Impact factor: 6.237

2.  Modelling learning in Caenorhabditis elegans chemosensory and locomotive circuitry for T-maze navigation.

Authors:  Bennet G Sakelaris; Zongyu Li; Jiawei Sun; Shurjo Banerjee; Victoria Booth; Eleni Gourgou
Journal:  Eur J Neurosci       Date:  2022-01-09       Impact factor: 3.698

3.  Three-dimensional simulation of the Caenorhabditis elegans body and muscle cells in liquid and gel environments for behavioural analysis.

Authors:  Andrey Palyanov; Sergey Khayrulin; Stephen D Larson
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2018-09-10       Impact factor: 6.237

Review 4.  Integrative Neuroscience of Paramecium, a "Swimming Neuron".

Authors:  Romain Brette
Journal:  eNeuro       Date:  2021-06-07

5.  Multistability and Long-Timescale Transients Encoded by Network Structure in a Model of C. elegans Connectome Dynamics.

Authors:  James M Kunert-Graf; Eli Shlizerman; Andrew Walker; J Nathan Kutz
Journal:  Front Comput Neurosci       Date:  2017-06-13       Impact factor: 2.380

6.  Functionality and Robustness of Injured Connectomic Dynamics in C. elegans: Linking Behavioral Deficits to Neural Circuit Damage.

Authors:  James M Kunert; Pedro D Maia; J Nathan Kutz
Journal:  PLoS Comput Biol       Date:  2017-01-05       Impact factor: 4.475

Review 7.  Caenorhabditis elegans and the network control framework-FAQs.

Authors:  Emma K Towlson; Petra E Vértes; Gang Yan; Yee Lian Chew; Denise S Walker; William R Schafer; Albert-László Barabási
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2018-09-10       Impact factor: 6.237

8.  Vulnerability-Based Critical Neurons, Synapses, and Pathways in the Caenorhabditis elegans Connectome.

Authors:  Seongkyun Kim; Hyoungkyu Kim; Jerald D Kralik; Jaeseung Jeong
Journal:  PLoS Comput Biol       Date:  2016-08-19       Impact factor: 4.475

9.  A Single-Cell Level and Connectome-Derived Computational Model of the Drosophila Brain.

Authors:  Yu-Chi Huang; Cheng-Te Wang; Ta-Shun Su; Kuo-Wei Kao; Yen-Jen Lin; Chao-Chun Chuang; Ann-Shyn Chiang; Chung-Chuan Lo
Journal:  Front Neuroinform       Date:  2019-01-10       Impact factor: 4.081

  9 in total

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