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@PHDTHESIS{Malinowski:853121,
      author       = {Malinowski, Sebastian Tobias},
      othercontributors = {Spehr, Marc and Ben-Shaul, Yoram},
      title        = {{C}orrelated network activity forms computational
                      subcircuits in the accessory olfactory bulb},
      school       = {RWTH Aachen University},
      type         = {Dissertation},
      address      = {Aachen},
      publisher    = {RWTH Aachen University},
      reportid     = {RWTH-2022-08613},
      pages        = {1 Online-Ressource : Illustrationen, Diagramme},
      year         = {2022},
      note         = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
                      University; Dissertation, RWTH Aachen University, 2022},
      abstract     = {Controlling social behaviour and endocrine state, the
                      accessory olfactory system is indispensable for most
                      mammals. Here, the AOB represents the first stage of
                      information processing in this important, though relatively
                      reductionist system. Surprisingly, many basic principles of
                      AOB information processing remain elusive. In this thesis, I
                      showed that the default activity pattern of AMCs, the sole
                      projection neurons in the AOB, is represented by infraslow
                      oscillations both in vitro and in vivo. In vitro, about
                      $50\%$ of AMCs in their idle state showed this periodic
                      activity, whereas we observed this phenomenon in $29\%$ of
                      AMCs in vivo. My data reveal that temporal coupling of AMCs
                      leads to formation of synchronized microcircuits that build
                      functional subunits within the mitral cell layer. These
                      ensembles enable advanced information processing by adding
                      another temporal coding feature. In addition, pronounced
                      rhythmic activity makes information processing more
                      resistant against internal noise, which is of utmost
                      importance for an indispensable system like the AOS.
                      Furthermore, I showed the influence of inhibition via
                      GABAergic synaptic transmission on microcircuit formation.
                      The AOB is a target of GABAergic top-down modulation. My
                      findings indicate a possible influence of centrifugal inputs
                      on microcircuit formation, and therefore on AOB information
                      processing. In addition, my work enabled AMC large scale
                      calcium imaging in vivo at single cell resolution for the
                      first time. I observed the presence of correlated network
                      activity in vivo, supporting the in vitro finding of
                      ensemble activity. Together, this approach, being able to
                      monitor a large population of genetically targeted AMCs
                      simultaneously without harming any olfactory brain area,
                      lays a basis to address many pressing questions in AOS
                      research. Here, I could show the presence of three
                      physiologically different AMC populations: oscillating,
                      irregularly bursting, and irregular. Thereby, I strengthen
                      the emerging insights that AMCs are a rather heterogeneous
                      neuron population. Further investigations, combining the
                      experimental toolbox I established in this thesis with
                      behavioural paradigms, will help to ultimately decipher AOS
                      physiology.},
      cin          = {163310 / 160000},
      ddc          = {570},
      cid          = {$I:(DE-82)163310_20140620$ / $I:(DE-82)160000_20140620$},
      pnm          = {GRK 2416: MultiSenses-MultiScales: Novel approaches to
                      decipher neural processing in multisensory integration
                      (368482240)},
      pid          = {G:(GEPRIS)368482240},
      typ          = {PUB:(DE-HGF)11},
      doi          = {10.18154/RWTH-2022-08613},
      url          = {https://publications.rwth-aachen.de/record/853121},
}