Literature DB >> 11124446

Adaptive motor control in crayfish.

D Cattaert, D Le Ray .   

Abstract

This article reviews the principles that rule the organization of motor commands that have been described over the past five decades in crayfish. The adaptation of motor behaviors requires the integration of sensory cues into the motor command. The respective roles of central neural networks and sensory feedback are presented in the order of increasing complexity. The simplest circuits described are those involved in the control of a single joint during posture (negative feedback-resistance reflex) and movement (modulation of sensory feedback and reversal of the reflex into an assistance reflex). More complex integration is required to solve problems of coordination of joint movements in a pluri-segmental appendage, and coordination of different limbs and different motor systems. In addition, beyond the question of mechanical fitting, the motor command must be appropriate to the behavioral context. Therefore, sensory information is used also to select adequate motor programs. A last aspect of adaptability concerns the possibility of neural networks to change their properties either temporarily (such on-line modulation exerted, for example, by presynaptic mechanisms) or more permanently (such as plastic changes that modify the synaptic efficacy). Finally, the question of how "automatic" local component networks are controlled by descending pathways, in order to achieve behaviors, is discussed.

Mesh:

Year:  2001        PMID: 11124446     DOI: 10.1016/s0301-0082(00)00030-7

Source DB:  PubMed          Journal:  Prog Neurobiol        ISSN: 0301-0082            Impact factor:   11.685


  9 in total

1.  A mathematical modeling study of inter-segmental coordination during stick insect walking.

Authors:  Silvia Daun-Gruhn
Journal:  J Comput Neurosci       Date:  2010-06-22       Impact factor: 1.621

Review 2.  Neurobiology of the crustacean swimmeret system.

Authors:  Brian Mulloney; Carmen Smarandache-Wellmann
Journal:  Prog Neurobiol       Date:  2012-01-14       Impact factor: 11.685

3.  Premotor nonspiking neurons regulate coupling among motoneurons that innervate overlapping muscle fiber population.

Authors:  Mariano Julián Rodriguez; Carlos Bernardo Perez-Etchegoyen; Lidia Szczupak
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2009-03-17       Impact factor: 1.836

4.  A network model comprising 4 segmental, interconnected ganglia, and its application to simulate multi-legged locomotion in crustaceans.

Authors:  M Grabowska; T I Toth; C Smarandache-Wellmann; S Daun-Gruhn
Journal:  J Comput Neurosci       Date:  2015-04-23       Impact factor: 1.621

5.  A C. elegans stretch receptor neuron revealed by a mechanosensitive TRP channel homologue.

Authors:  Wei Li; Zhaoyang Feng; Paul W Sternberg; X Z Shawn Xu
Journal:  Nature       Date:  2006-03-30       Impact factor: 49.962

6.  On the role of sensory feedbacks in rowat-selverston CpG to improve robot legged locomotion.

Authors:  Elmira Amrollah; Patrick Henaff
Journal:  Front Neurorobot       Date:  2010-12-29       Impact factor: 2.650

7.  Morphological and physiological development of anterior thoracic stretch receptors in two isopods, Armadillidium vulgare and Ligia exotica.

Authors:  Masazumi Iwasaki; Ayako Ohata; Akiyoshi Niida
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2007-05-01       Impact factor: 2.389

8.  Muscle precursor cells in the developing limbs of two isopods (Crustacea, Peracarida): an immunohistochemical study using a novel monoclonal antibody against myosin heavy chain.

Authors:  S Kreissl; A Uber; S Harzsch
Journal:  Dev Genes Evol       Date:  2008-04-29       Impact factor: 0.900

9.  Hebbian Plasticity in CPG Controllers Facilitates Self-Synchronization for Human-Robot Handshaking.

Authors:  Melanie Jouaiti; Lancelot Caron; Patrick Hénaff
Journal:  Front Neurorobot       Date:  2018-06-08       Impact factor: 2.650

  9 in total

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