% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{ButzOstendorf:138398,
      author       = {Butz-Ostendorf, Markus and van Ooyen, Arjen},
      title        = {{A} {S}imple {R}ule for {D}endritic {S}pine and {A}xonal
                      {B}outon {F}ormation {C}an {A}ccount for {C}ortical
                      {R}eorganization after {F}ocal {R}etinal {L}esions},
      journal      = {PLoS Computational Biology},
      volume       = {9},
      number       = {10},
      issn         = {1553-734X},
      address      = {San Francisco, Calif.},
      publisher    = {Public Library of Science},
      reportid     = {FZJ-2013-04532},
      pages        = {e1003259},
      year         = {2013},
      abstract     = {Lasting alterations in sensory input trigger massive
                      structural and functional adaptations in cortical networks.
                      The principles governing these experience-dependent changes
                      are, however, poorly understood. Here, we examine whether a
                      simple rule based on the neurons’ need for homeostasis in
                      electrical activity may serve as driving force for cortical
                      reorganization. According to this rule, a neuron creates new
                      spines and boutons when its level of electrical activity is
                      below a homeostaticset-point and decreases the number of
                      spines and boutons when its activity exceeds this set-point.
                      In addition, neurons need a minimum level of activity to
                      form spines and boutons. Spine and bouton formation depends
                      solely on the neuron’s own activity level, and synapses
                      are formed by merging spines and boutons independently of
                      activity. Using a novel computational model, we show that
                      this simple growth rule produces neuron and network changes
                      as observed in thevisual cortex after focal retinal lesions.
                      In the model, as in the cortex, the turnover of dendritic
                      spines was increased strongest in the center of the lesion
                      projection zone, while axonal boutons displayed a marked
                      overshoot followed by pruning. Moreover, the decrease in
                      external input was compensated for by the formation of new
                      horizontal connections, which caused a retinotopic
                      remapping. Homeostatic regulation may provide a unifying
                      framework for understanding cortical reorganization,
                      including network repair in degenerative diseases or
                      following focal stroke.},
      cin          = {JSC / JARA-HPC},
      ddc          = {570},
      cid          = {I:(DE-Juel1)JSC-20090406 / $I:(DE-82)080012_20140620$},
      pnm          = {411 - Computational Science and Mathematical Methods
                      (POF2-411) / SMHB - Supercomputing and Modelling for the
                      Human Brain (HGF-SMHB-2013-2017) / SLNS - SimLab
                      Neuroscience (Helmholtz-SLNS)},
      pid          = {G:(DE-HGF)POF2-411 / G:(DE-Juel1)HGF-SMHB-2013-2017 /
                      G:(DE-Juel1)Helmholtz-SLNS},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000330355300021},
      pubmed       = {pmid:24130472},
      doi          = {10.1371/journal.pcbi.1003259},
      url          = {https://juser.fz-juelich.de/record/138398},
}