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@PHDTHESIS{MoralesGregorio:1008189,
      author       = {Morales-Gregorio, Aitor},
      title        = {{C}haracterization and modeling of primate cortical anatomy
                      and activity},
      volume       = {96},
      school       = {Univ. Köln},
      type         = {Dissertation},
      address      = {Jülich},
      publisher    = {Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag},
      reportid     = {FZJ-2023-02235},
      isbn         = {978-3-95806-698-4},
      series       = {Schriften des Forschungszentrums Jülich Reihe Information
                      / Information},
      pages        = {ca. 260},
      year         = {2023},
      note         = {Dissertation, Univ. Köln, 2022},
      abstract     = {Neuroscience is the study of the brain and all the complex
                      mechanisms that make thought and cognition possible. The
                      cerebral cortex is where some of the most complex cognitive
                      processes are believed to occur. This work primarily focuses
                      on the macaque, since it is a close relative to humans and a
                      widely studied model animal. While experimental studies are
                      limited to a few neurons and locations, computational models
                      can compensate these limitations since they allow to study
                      the entire system at will. However, there are many hurdles
                      on the way to reliable and realistic brain models, some of
                      which we addressed in this dissertation. We identified some
                      specific gaps in the knowledge that impede the creation of
                      comprehensive brain models. These include: the lack of
                      resting state extracellular neural recordings and its
                      subsequent analysis, the lack of comprehensive neuron
                      density estimates and their statistical distribution, and
                      the lack of connectivity data within cortical areas. The aim
                      of this dissertation is to address these gaps in the
                      knowledge in order to construct comprehensive models of the
                      macaque cortex at a neuronal level.In this dissertation, we
                      present high-resolution resting state data from macaque V1
                      and V4 areas, along with exhaustive quality controls and all
                      the relevant metadata about the experiment. We then study
                      the resting state data and show distinct structures in the
                      population dynamics, which our analysis and simulations
                      suggest could be modulated by feedback from V4 to V1.
                      Moreover, we show that the distribution of neuron densities
                      across and within the cortex of mammals is compatible with a
                      lognormal distribution, which could easily emerge from a
                      noisy cell division process. In addition, we present new
                      measurements of neuron density in the macaque cortex, in an
                      area and layer resolved manner. These measurements required
                      a 3D reconstruction from histological slices and constitute,
                      to the best of our knowledge, the first comprehensive data
                      set of neuron densities in a single macaque. Finally, we
                      present a method to estimate local microcircuit connectivity
                      from resting state spiking activity, using single unit
                      spiking statistics and the Wasserstein distance. We show
                      that the activity is significantly different across the
                      cortex and demonstrate the validity of our parameter
                      estimation method using synthetic data. In conclusion, this
                      work provides activity and anatomical data for the
                      neuroscience community, as well as several methods that will
                      be applicable beyond the scope of this thesis. All in all,
                      this work brings the field a small step closer to a
                      comprehensive understanding of the cerebral cortex.},
      cin          = {INM-6 / IAS-6},
      cid          = {I:(DE-Juel1)INM-6-20090406 / I:(DE-Juel1)IAS-6-20130828},
      pnm          = {899 - ohne Topic (POF4-899)},
      pid          = {G:(DE-HGF)POF4-899},
      typ          = {PUB:(DE-HGF)3 / PUB:(DE-HGF)11},
      urn          = {urn:nbn:de:0001-20230718084843979-7465412-1},
      doi          = {10.34734/FZJ-2023-02235},
      url          = {https://juser.fz-juelich.de/record/1008189},
}