Literature DB >> 26351756

A biologically based neural system coordinates the joints and legs of a tetrapod.

Alexander Hunt1, Manuela Schmidt, Martin Fischer, Roger Quinn.   

Abstract

A biologically inspired neural control system has been developed that coordinates a tetrapod trotting gait in the sagittal plane. The developed neuromechanical system is used to explore properties of connections in inter-leg and intra-leg coordination. The neural controller is built with biologically based neurons and synapses, and connections are based on data from literature where available. It is applied to a planar biomechanical model of a rat with 14 joints, each actuated by a pair of antagonistic Hill muscle models. The controller generates tension in the muscles through activation of simulated motoneurons. The hind leg and inter-leg control networks are based on pathways discovered in cat research tuned to the kinematic motions of a rat. The foreleg network was developed by extrapolating analogous pathways from the hind legs. The formulated intra-leg and inter-leg networks properly coordinate the joints and produce motions similar to those of a walking rat. Changing the strength of a single inter-leg connection is sufficient to account for differences in phase timing in different trotting rats.

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Year:  2015        PMID: 26351756     DOI: 10.1088/1748-3190/10/5/055004

Source DB:  PubMed          Journal:  Bioinspir Biomim        ISSN: 1748-3182            Impact factor:   2.956


  9 in total

Review 1.  The neural control of interlimb coordination during mammalian locomotion.

Authors:  Alain Frigon
Journal:  J Neurophysiol       Date:  2017-03-15       Impact factor: 2.714

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

Authors:  Victoria A Webster-Wood; Jeffrey P Gill; Peter J Thomas; Hillel J Chiel
Journal:  Biol Cybern       Date:  2020-12-10       Impact factor: 2.086

3.  A Functional Subnetwork Approach to Designing Synthetic Nervous Systems That Control Legged Robot Locomotion.

Authors:  Nicholas S Szczecinski; Alexander J Hunt; Roger D Quinn
Journal:  Front Neurorobot       Date:  2017-08-09       Impact factor: 2.650

4.  Development and Training of a Neural Controller for Hind Leg Walking in a Dog Robot.

Authors:  Alexander Hunt; Nicholas Szczecinski; Roger Quinn
Journal:  Front Neurorobot       Date:  2017-04-04       Impact factor: 2.650

5.  Adaptive hindlimb split-belt treadmill walking in rats by controlling basic muscle activation patterns via phase resetting.

Authors:  Soichiro Fujiki; Shinya Aoi; Tetsuro Funato; Yota Sato; Kazuo Tsuchiya; Dai Yanagihara
Journal:  Sci Rep       Date:  2018-11-26       Impact factor: 4.379

6.  Neuromusculoskeletal model that walks and runs across a speed range with a few motor control parameter changes based on the muscle synergy hypothesis.

Authors:  Shinya Aoi; Tomohiro Ohashi; Ryoko Bamba; Soichiro Fujiki; Daiki Tamura; Tetsuro Funato; Kei Senda; Yury Ivanenko; Kazuo Tsuchiya
Journal:  Sci Rep       Date:  2019-01-23       Impact factor: 4.379

7.  Gait Generation and Its Energy Efficiency Based on Rat Neuromusculoskeletal Model.

Authors:  Misaki Toeda; Shinya Aoi; Soichiro Fujiki; Tetsuro Funato; Kazuo Tsuchiya; Dai Yanagihara
Journal:  Front Neurosci       Date:  2020-01-17       Impact factor: 4.677

Review 8.  Towards an Understanding of Control of Complex Rhythmical "Wavelike" Coordination in Humans.

Authors:  Ross Howard Sanders; Daniel J Levitin
Journal:  Brain Sci       Date:  2020-04-05

9.  Spiking neural state machine for gait frequency entrainment in a flexible modular robot.

Authors:  Alex Spaeth; Maryam Tebyani; David Haussler; Mircea Teodorescu
Journal:  PLoS One       Date:  2020-10-21       Impact factor: 3.240

  9 in total

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