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001008189 0247_ $$2datacite_doi$$a10.34734/FZJ-2023-02235
001008189 0247_ $$2URN$$aurn:nbn:de:0001-20230718084843979-7465412-1
001008189 020__ $$a978-3-95806-698-4
001008189 037__ $$aFZJ-2023-02235
001008189 1001_ $$0P:(DE-Juel1)176593$$aMorales-Gregorio, Aitor$$b0$$eCorresponding author$$ufzj
001008189 245__ $$aCharacterization and modeling of primate cortical anatomy and activity$$f- 2023-07-18
001008189 260__ $$aJülich$$bForschungszentrum Jülich GmbH Zentralbibliothek, Verlag$$c2023
001008189 300__ $$aca. 260
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001008189 4900_ $$aSchriften des Forschungszentrums Jülich Reihe Information / Information$$v96
001008189 502__ $$aDissertation, Univ. Köln, 2022$$bDissertation$$cUniv. Köln$$d2022
001008189 520__ $$aNeuroscience 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.
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001008189 9201_ $$0I:(DE-Juel1)INM-6-20090406$$kINM-6$$lComputational and Systems Neuroscience$$x0
001008189 9201_ $$0I:(DE-Juel1)IAS-6-20130828$$kIAS-6$$lTheoretical Neuroscience$$x1
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