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@ARTICLE{Tth:840014,
      author       = {Tóth, Tibor I. and Berg, Eva and Daun, Silvia},
      title        = {{M}odeling search movements of an insect's front leg},
      journal      = {Physiological reports},
      volume       = {5},
      number       = {22},
      issn         = {2051-817X},
      address      = {[S.l.]},
      publisher    = {Wiley},
      reportid     = {FZJ-2017-07584},
      pages        = {e13489 -},
      year         = {2017},
      abstract     = {Beside locomotion, search movements are another important
                      type of motor activity of insects. They are very often
                      performed by the front legs of the animals. They consist of
                      cyclic stereotypical leg movements that can be modified by
                      sensory signals. The details of the local organization of
                      these movements have however not yet been studied. In this
                      paper, we, using an appropriate variant of our existing
                      one-leg model, present a scheme of how these searching
                      movements might be organized and performed on the level of
                      local neuromuscular control networks. In the simulations
                      with the model, we attempted to mimic the experimental
                      results by Berg et al. (J. Exp. Biol. 216:1064–1074, 2013)
                      in which an obstacle was put in the way of the search
                      movements of the front leg for a very short while, and then
                      the recovery to the usual search movements was observed and
                      analyzed. Our simulation results suggest that the
                      recruitment of the fast levator and depressor muscles play a
                      crucial part in resuming the search movements after removal
                      of the obstacle. The interplay between the levator and
                      depressor, and the extensor and flexor local control
                      networks can, according to the model, bring about a large
                      variety of search movements upon removal of the obstacle. A
                      number of these movements are comparable with those seen in
                      the experiments.},
      cin          = {INM-3},
      ddc          = {570},
      cid          = {I:(DE-Juel1)INM-3-20090406},
      pnm          = {572 - (Dys-)function and Plasticity (POF3-572)},
      pid          = {G:(DE-HGF)POF3-572},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000416317500001},
      pubmed       = {pmid:29146863},
      doi          = {10.14814/phy2.13489},
      url          = {https://juser.fz-juelich.de/record/840014},
}