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@ARTICLE{Bachmann:878454,
      author       = {Bachmann, Claudia and Tetzlaff, Tom and Duarte, Renato and
                      Morrison, Abigail},
      title        = {{F}iring rate homeostasis counteracts changes in stability
                      of recurrent neural networks caused by synapse loss in
                      {A}lzheimer’s disease},
      journal      = {PLoS Computational Biology},
      volume       = {16},
      number       = {8},
      issn         = {1553-734X},
      address      = {San Francisco, Calif.},
      publisher    = {Public Library of Science},
      reportid     = {FZJ-2020-02860},
      pages        = {e1007790 -},
      year         = {2020},
      note         = {Additional grants: Helmholtz Association Initiative and
                      Networking Fund (project no. SO-092 [Advanced Computing
                      Architectures] and Helmholtz Portfolio Theme "Supercomputing
                      and Modeling for the Human Brain"),},
      abstract     = {The impairment of cognitive function in Alzheimer’s
                      disease is clearly correlated to synapse loss. However, the
                      mechanisms underlying this correlation are only poorly
                      understood. Here, we investigate how the loss of excitatory
                      synapses in sparsely connected random networks of spiking
                      excitatory and inhibitory neurons alters their dynamical
                      characteristics. Beyond the effects on the activity
                      statistics, we find that the loss of excitatory synapses on
                      excitatory neurons reduces the network’s sensitivity to
                      small perturbations. This decrease in sensitivity can be
                      considered as an indication of a reduction of computational
                      capacity. A full recovery of the network’s dynamical
                      characteristics and sensitivity can be achieved by firing
                      rate homeostasis, here implemented by an up-scaling of the
                      remaining excitatory-excitatory synapses. Mean-field
                      analysis reveals that the stability of the linearised
                      network dynamics is, in good approximation, uniquely
                      determined by the firing rate, and thereby explains why
                      firing rate homeostasis preserves not only the firing rate
                      but also the network’s sensitivity to small
                      perturbations.},
      cin          = {INM-6 / IAS-6 / INM-10 / JARA-HPC / JSC},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-6-20090406 / I:(DE-Juel1)IAS-6-20130828 /
                      I:(DE-Juel1)INM-10-20170113 / $I:(DE-82)080012_20140620$ /
                      I:(DE-Juel1)JSC-20090406},
      pnm          = {571 - Connectivity and Activity (POF3-571) / 572 -
                      (Dys-)function and Plasticity (POF3-572) / 574 - Theory,
                      modelling and simulation (POF3-574) / HBP SGA1 - Human Brain
                      Project Specific Grant Agreement 1 (720270) / HBP SGA2 -
                      Human Brain Project Specific Grant Agreement 2 (785907) /
                      DFG project 233510988 - Mathematische Modellierung der
                      Entstehung und Suppression pathologischer
                      Aktivitätszustände in den Basalganglien-Kortex-Schleifen
                      (233510988) / Advanced Computing Architectures
                      $(aca_20190115)$ / Functional Neural Architectures
                      $(jinm60_20190501)$},
      pid          = {G:(DE-HGF)POF3-571 / G:(DE-HGF)POF3-572 /
                      G:(DE-HGF)POF3-574 / G:(EU-Grant)720270 / G:(EU-Grant)785907
                      / G:(GEPRIS)233510988 / $G:(DE-Juel1)aca_20190115$ /
                      $G:(DE-Juel1)jinm60_20190501$},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:32841234},
      UT           = {WOS:000565612000002},
      doi          = {10.1371/journal.pcbi.1007790},
      url          = {https://juser.fz-juelich.de/record/878454},
}