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Cells perform a wide range of functions such as signalling, transportation, immunoprotection and metabolism. Unravelling the molecular mechanism behind those processes will provide a platform for more targeted and rational drug design. This is achieved by discerning the structural and functional aspects of the biological macromolecules involved. This thesis discusses about the biophysical characterization of protein structures and the biological importance of protein dynamics. Membrane receptors and enzymes which are ubiquitously present in our biological systems and regulate wide variety of functions are excellent choice for such study. From a pharmaceutical point of view, receptor and enzymes are exceptionally important drug targets as they represent the major share (receptor, 30% and enzymes, 47%) of all marketed drugs. Therefore, apart from biological insights, the detailed study of receptors and enzymes will provide the basis for new pharmaceutical applications. Most information about receptor activation and enzyme activity come from the structural and functional analysis of target members of the above mentioned systems.
In “Chapter 1 – General Introduction” the readers are introduced to the world of proteins with special focus on G-protein coupled receptors (GPCRs) and methyltransferases. The first part of this chapter discusses about GPCRs with emphasis on their classification, structural features and functions. GPCRs are the most abundant membrane receptors present in mammalian cells, accounting for almost 15% of all membrane proteins. The GPCR superfamily consists of ~800 members and can be subdivided into six classes (A-F). Class A containing rhodopsin, peptide hormones, olfactory GPCRs, is the most abundant with a large share of 85% of GPCR protein family. GPCRs share a common architecture of 7 transmembrane a-helices, with different ligand binding sites. Although a variety of ligands ranging from subatomic particles (a photon) to large proteins can activate a GPCR, their mechanism of signal transduction is almost similar. There are two major signal transduction pathways identified for GPCRs: the cAMP pathway and the phosphatidylinositol pathway. The therapeutic relevance of GPCRs has also been pointed out here since a large share (30%) of modern marketed drugs target GPCRs.
In the second part of this chapter, the structural and functional characterizations of methyltransferases (MTs) are discussed in detail. Several important biological processes in cells e.g. drug metabolism, gene transcription, epigenetic regulations are modulated by methylation of targets ranging from small biomolecules to large proteins. MTs are the proteins which catalyze this methylation reaction and transfer the methyl group to an acceptor molecule through SN2 like nucleophilic substitution reaction. The MTs can be classified on the basis of the substrate atoms they methylate: O (54% of all MTs), N (23%), C (18%), S (3%) and other acceptors (such as halides; 2%). They can also be categorized into five different classes (Class I-V) depending upon distinctive structural features facilitating substrate binding or catalytic activity. Rossmann fold and SET (acronym acquired from the Drosophila Su(var)3-9 and 'Enhancer of zeste' proteins) domain are the two characteristic structural motifs commonly found in MTs. Similar to GPCRs, MTs dysfunction has been shown to be involved in various diseases including neuropsychiatric diseases and cancer. Therefore they are also interesting targets for drug development. The final part of this chapter discusses the importance of structural biology in gathering information related to structure and conformational dynamics of proteins. The two prominent biophysical techniques used in structural biology, X-ray crystallography and NMR, are discussed with focus on their advantages and limitation. The importance of NMR spectroscopic techniques to investigate different dynamic processes of protein at atomic resolution under physiological conditions is also discussed. Real time NMR spectroscopy required for the analysis of slow protein dynamic processes (protein folding, enzyme catalysis, domain rearrangement) has been explained in detail.
The second part of the thesis (Chapters 3-4), which is the cumulative part, comprises the original publications grouped into 2 chapters according to their topic:
• NMR-spectroscopic characterization of the transiently populated photointermediates of bovine rhodopsin and it’s interaction with arrestin (Chapter 3)
• Structural and biophysical characterization of PaMTH1, a putative SAM dependent O-methyltransferase from filamentous fungi Podospora anserina (Chapter 4)
Each chapter is initiated by a detailed introduction to the topic, providing the framework for the following papers. The personal contribution of this thesis’ author to each publication is stated in the introduction to the respective article.
The Large Hadron Collider (LHC) is the biggest and most powerful particle accelerator in the world, designed to collide two proton beams with particle momentum of 7 TeV/c each. The stored energy of 362MJ in each beam is sufficient to melt 500 kg of copper or to evaporate about 300 litre of water. An accidental release of even a small fraction of the beam energy can cause severe damage to accelerator equipment. Reliable machine protection systems are necessary to safely operate the accelerator complex. To design a machine protection system, it is essential to know the damage potential of the stored beam and the consequences in case of a failure. One (catastrophic) failure would be, if the entire beam is lost in the aperture due to a problem with the beam dumping system.
This thesis presents the simulation studies, results of a benchmarking experiment, and detailed target investigation, for this failure case. In the experiment, solid copper cylinders were irradiated with the 440GeV proton beam delivered by the Super Proton Synchrotron (SPS) at the High Radiation to Materials (HiRadMat) facility at CERN. The experiment confirmed the existence of the so-called hydrodynamic tunneling phenomenon for the first time. Detailed numerical simulations for particle-matter interaction with FLUKA, and with the two-dimensional hydrodynamic code, BIG2, were carried out. Excellent agreement was found between the experimental and the simulation results that validate predictions for the 7TeV beam of the LHC. The hydrodynamic tunneling effect is of considerable importance for the design of machine protection systems for accelerators with high stored beam energy. In addition, this thesis presents the first studies of the damage potential with beam parameters of the Future Circular Collider (FCC).
To detect beam losses due to fast failures it is essential to have fast beam instrumentation. Diamond based particle detectors are able to detect beam losses within a nanosecond time scale. Specially designed diamond detectors were used in the experiment mentioned above. Their efficiency and response has been studied for the first time over 5 orders of bunch intensity with electrons at the Beam Test Facility (BTF) at INFN, Frascati, Italy. The results of these measurements are discussed in this thesis. Furthermore an overview of the applications of diamond based particle detectors in damage experiments and for LHC operation is presented.
Already today modern driver assistance systems contribute more and more to make individual mobility in road traffic safer and more comfortable. For this purpose, modern vehicles are equipped with a multitude of sensors and actuators which perceive, interpret and react to the environment of the vehicle. In order to reach the next set of goals along this path, for example to be able to assist the driver in increasingly complex situations or to reach a higher degree of autonomy of driver assistance systems, a detailed understanding of the vehicle environment and especially of other moving traffic participants is necessary.
It is known that motion information plays a key role for human object recognition [Spelke, 1990]. However, full 3D motion information is mostly not taken into account for Stereo Vision-based object segmentation in literature. In this thesis, novel approaches for motion-based object segmentation of stereo image sequences are proposed from which a generic environmental model is derived that contributes to a more precise analysis and understanding of the respective traffic scene. The aim of the environmental model is to yield a minimal scene description in terms of a few moving objects and stationary background such as houses, crash barriers or parking vehicles. A minimal scene description aggregates as much information as possible and it is characterized by its stability, precision and efficiency.
Instead of dense stereo and optical flow information, the proposed object segmentation builds on the so-called Stixel World, an efficient superpixel-like representation of space-time stereo data. As it turns out this step substantially increases stability of the segmentation and it reduces the computational time by several orders of magnitude, thus enabling real-time automotive use in the first place. Besides the efficient, real-time capable optimization, the object segmentation has to be able to cope with significant noise which is due to the measurement principle of the used stereo camera system. For that reason, in order to obtain an optimal solution under the given extreme conditions, the segmentation task is formulated as a Bayesian optimization problem which allows to incorporate regularizing prior knowledge and redundancies into the object segmentation.
Object segmentation as it is discussed here means unsupervised segmentation since typically the number of objects in the scene and their individual object parameters are not known in advance. This information has to be estimated from the input data as well.
For inference, two approaches with their individual pros and cons are proposed, evaluated and compared. The first approach is based on dynamic programming. The key advantage of this approach is the possibility to take into account non-local priors such as shape or object size information which is impossible or which is prohibitively expensive with more local, conventional graph optimization approaches such as graphcut or belief propagation.
In the first instance, the Dynamic Programming approach is limited to one-dimensional data structures, in this case to the first Stixel row. A possible extension to capture multiple Stixel rows is discussed at the end of this thesis.
Further novel contributions include a special outlier concept to handle gross stereo errors associated with so-called stereo tear-off edges. Additionally, object-object interactions are taken into account by explicitly modeling object occlusions. These extensions prove to be dramatic improvements in practice.
This first approach is compared with a second approach that is based on an alternating optimization of the Stixel segmentation and of the relevant object parameters in an expectation maximization (EM) sense. The labeling step is performed by means of the _−expansion graphcut algorithm, the parameter estimation step is done via one-dimensional sampling and multidimensional gradient descent. By using the Stixel World and due to an efficient implementation, one step of the optimization only takes about one millisecond on a standard single CPU core. To the knowledge of the author, at the time of development there was no faster global optimization in a demonstrator car.
For both approaches, various testing scenarios have been carefully selected and allow to examine the proposed methods thoroughly under different real-world conditions with limited groundtruth at hand. As an additional innovative application, the first approach was successfully implemented in a demonstrator car that drove the so-called Bertha Benz Memorial Route from Mannheim to Pforzheim autonomously in real traffic.
At the end of this thesis, the limits of the proposed systems are discussed and a prospect on possible future work is given.
Identification of disease modulating compounds in juvenile neuronal ceroid lipofuscinosis (JNCL)
(2016)
Mutationen im CLN3 Gen verursachen die neurodegenerative Erkrankung juvenile neuronale Zeroidlipofuszinose (JNCL). Bei dieser Erkrankung sind die Autophagie, der lysosomale pH Wert und der mitochondriale Metabolismus beeinträchtigt. Störungen dieser Prozesse führen zu einer erhöhten Verletzlichkeit neuronaler Zellen gegenüber alters- und umweltbedingten Schäden, einer Anhäufung von Autophagosomen und lysosomalem Speichermaterial, Zelltod und Neurodegeneration. Um die JNCL zu erforschen bedienen wir uns eines Zellmodels aus der Maus, welches die häufigste krankheitsauslösende CLN3 Mutation im Menschen, die Deletion der Exons 7 und 8, nachbildet. Die aus dem Kleinhirn dieser Mäuse stammenden cerebellaren Körnerstammzellen werden als CbCln3Δex7/8/Δex7/8 Zellen, solche aus wild-typ Mäusen als CbCln3+/+ Zellen bezeichnet. Die JNCL ist nicht heilbar und die Entwicklung von Wirkstoffen steht noch am Anfang.
Die vorliegende Arbeit befasst sich mit der Durchführung eines Hochdursatzscreenings um Wirkstoffe zu identifizieren, welche eine Anhäufung von Autophagosomen in CbCln3Δex7/8/Δex7/8 Zellen verhindern können. Unter 1750 verschiedenen untersuchten Wirkstoffen konnten wir 28 aktive „Hits“ identifizieren und stellten fest, dass Kalziumkanalblocker, Östrogene und HMG-CoA-Reduktase Inhibitoren gehäuft vertreten waren. Eine sorgfältige Untersuchung die möglichen Interaktionen der aktiven Wirkstoffe mit zellulären Signalwegen und die Analyse ihrer Dosis-Wirkungskurven unterstützte uns bei der Auswahl von Verapamil, Nicardipin und Fluspirilen zur näheren Untersuchung. Diese Wirkstoffe sind Kalziumkanalblocker und Fluspirilen blockt auch D2 Dopaminrezeptoren.
Außerdem untersuchten und quantifizierten wir mitochondriale Phänotypen in CbCln3Δex7/8/Δex7/8 Zellen. Unsere Untersuchungen ergaben, dass Mitochondrien in CbCln3Δex7/8/Δex7/8 Zellen einer signifikanten Hyperfusion unterliegen und ein schwächeres Membranpotenzial aufweisen. Weiterhin fanden wir eine Verringerung der maximalen der mitochondrialen Elektronentransportkapazität und eine verringerte Aktivität des Enzyms Zitratsynthase, welches die Effizienz des Zitratzyklus bestimmt.
Fluspirilen, Verapamil und, in geringerem Ausmaß, Nicardipin, verbesserten einige krankheitsbedingte lysosomale und mitochondriale Phänotypen. Des Weiteren konnten Verapamil und Nicardipin, nicht aber Fluspirilen, den erhöhten zellulären Kalziumspiegel in CbCln3Δex7/8/Δex7/8 Zellen absenken. Erniedrigungen im Kalziumgehalt können durch die Inhibition der kalziumabhängigen Protease Calpain 1 zu einer Induktion der Autophagie führen. Wir untersuchten, ob eine chemische Inhibition der Calpain 1-Protease die Anzahl der Autophagosomen in CbCln3Δex7/8/Δex7/8 Zellen senkt, und stellten fest, dass dies nicht der Fall ist. Eine Inhibition von Calpain 1 führte lediglich zu einem Anstieg der Zahl zellulärer Autophagosomen. Als Nächstes untersuchten wir die Auswirkung der Wirkstoffbehandlung auf den Autophagiefluss. Verapamil und Nicardipin hatten keinen Einfluss auf den Autophagiefluss in der getesteten Konzentration in CbCln3Δex7/8/Δex7/8 Zellen während Fluspirilen die Autophagie induzierte. Gleichzeitig stellten wir fest, dass hohe Dosen von Nicardipin und Verapamil teilweise vor einem Verlust des lysosomalen pH-Werts durch eine Behandlung mit Bafilomycin A1 schützen konnten. Da Fluspirilen auch ein Dopaminrezeptorblocker ist, untersuchten wir die Auswirkung einer erhöhten Dosis von Dopamin auf die Zahl der Autophagosomen. Wir fanden, dass eine mittlere Dosierung von Dopamin einen Trend zu einer leichten Verringerung von Autophagosomen in CbCln3Δex7/8/Δex7/8 Zellen zur Folge hat.
Wir vermuten, dass die Kalziumkanalblocker Verapamil und Nicardipin und der Dopaminrezeptorblocker Fluspirilen unterschiedliche zelluläre Signalwege benutzen, aber letztendlich um ähnliche Botenstoffe verwenden, um die Funktion der Lysosomen in CbCln3Δex7/8/Δex7/8 Zellen zu verbessern. Die Verringerung des intrazellulären Kalziumgehalts durch Verapamil und Nicardipin führt zu einer Aktivierung von Adenylatzyklasen, welche eine Erhöhung des intrazellulären cAMP Spiegels herbeiführen. Fluspirilen inhibiert Dopaminrezeptoren vom Typ D2 (D2DR), was zu einer selektiven Aktivierung von Dopaminrezeptoren des Typs D5 (D5DR) führen könnte. Im Gegensatz zu D2 führen D5D Rezeptoren zu einer Aktivierung von Adenylatzyklasen und einer Erhöhung des cAMP Spiegels. cAMP aktiviert die Protein Kinase A (PKA), welche durch eine Proteinphosphorylierung von lysosomalen Chloridkanälen und Protonenpumpen die lysosomale Aktivität erhöht. Dies führt zu einer Verbesserung des Abbaus von Autophagosomen und lysosomalem Speichermaterial und zu einer verbesserten Zellgesundheit in CbCln3Δex7/8/Δex7/8 Zellen.
Eine Verbesserung der lysosomalen Funktion in der JNCL kann einen wirksamen Therapieansatz ergeben. Wir hoffen, dass die hier vorgestellten Methoden und Ergebnisse einen ersten Schritt in diese Richtung darstellen.
Juvenile neuronal ceroid-lipofuscinosis (JNCL) is a rare lysosomal storage disease in children with lethal outcome and no therapy. The origin of JNCL has been traced to autosomal recessive mutations in the CLN3 gene, and ~85% of the JNCL patients harbor a 1.02 kb deletion that removes the exons 7 and 8 and the surrounding intronic DNA (CLN3Δex7/8). So far, structure, function and localization of the CLN3 protein remain elusive. However, there is strong evidence that CLN3 modulates a process or condition that is essential in many cellular pathways. Lipid metabolism and antero-/retrograde transport, two mechanisms CLN3 was previously implicated in, fulfill these requirements. Notably, also a bioactive group of glycosphingolipids referred to as gangliosides is tightly interrelated with these functions. Furthermore, a-series gangliosides have been shown to be involved in the development and sustenance of the brain, where they are essential for neurite outgrowth and cell survival. Defects in ganglioside metabolism were shown to play a crucial role in many lysosomal storage disorders. However, the contribution of gangliosides to NCL pathology is largely unknown.
The present study analyzed central enzymes and metabolites of the a-series ganglioside pathway in a JNCL cell model. The core finding was, thereby, the reduced amount of the neuroprotective ganglioside GM1 in homozygous CbCln3Δex7/8 cells. This was caused by the enhanced action of the GM1-degrading multimeric enzyme complex and in particular, by the upregulation of protein levels and increased enzyme activity of β-galactosidase (Glb1).
Improved binding of Glb1 to substrate-carrying membranes was provided by an increase in LBPA levels. In combination with other smaller alterations in the ganglioside pattern, a shift towards less complex gangliosides became present. The resulting loss of neuroprotection may be the reason for the multifocal pathology in homozygous CbCln3Δex7/8 cells.
The second part of the present study investigated the cellular mechanisms behind the altered ganglioside profile with regard to the potential role of CLN3. Here, the anterograde transport of GM1 to the plasma membrane presented a positive correlation with the amount of full-length CLN3. In case of the truncated protein this correlation was missing, resulting in reduced PM staining with CTxB-FITC. However, transfection of full-length CLN3 in these cells restored the CTxB-FITC intensity. Based on the neuroprotective role of GM1, the corresponding increase in GM1 levels may be the cause for the restoration effects observed in previous studies using full-length CLN3. Hence, administration of GM1 was expected to improve cell viability of homozygous CbCln3Δex7/8 cells and beyond that to rescue potentially some disease phenotypes. However, no effect could be observed. The reason for this may be reduced caveolar uptake and the mislocalization of ganglioside GM1 to the trans-Golgi network (TGN) and redirection towards degradative compartments.
Both are in line with the idea of an impaired endocytic flux in CLN3 deficiency. The observed localization of CLN3 in the TGN suggests a potential role for CLN3 in the lipid sorting machinery, subsequently altering membrane composition and its regulatory functions. The resulting imbalance may affect many of the cellular processes impaired in JNCL.
The elliptic flow of heavy-flavour decay electrons is measured at midrapidity |eta| < 0.8 in three centrality classes (0-10%, 10-20% and 20-40%) of Pb-Pb collisions at sqrt(sNN) = 2.76TeV with ALICE at LHC. The collective motion of the particles inside the medium which is created in the heavy-ion collisions can be analyzed by a Fourier decomposition of the azimuthal anisotropic particle distribution with respect to the event plane. Elliptic flow is the component of the collective motion characterized by the second harmonic moment of this decomposition. It is a direct consequence of the initial geometry of the collision which is translated to a particle number anisotropy due to the strong interactions inside the medium. The amount of elliptic flow of low-momentum heavy quarks is related to their thermalization with the medium, while high-momentum heavy quarks provide a way to assess the path-length dependence of the energy loss induced by the interaction with the medium.
The heavy-quark elliptic flow is measured using a three-step procedure.
First the v2 coefficient of the inclusive electrons is measured using the event-plane and scalar-product methods. The electron background from light flavours and direct photons is then simulated, calculating the decay kinematics of the electron sources which are initialised by their respective measured spectra. The final result of this work emerges by subtracting the background from the inclusive measurement. A significant elliptic flow is observed after this subtraction. Its value is decreasing from low to intermediate pT and from semi-central to central collisions.
The results are described by model calculations with significant elastic interactions of the heavy quarks with the expanding strongly-interacting medium.
Recently, two of the most common types of bone cancers in children and young adults have been proven to exhibit vulnerability to poly(ADP)-ribose polymerase, (PARP) inhibitors (e.g. olaparib, talazoparib). Ewing’s sarcoma (ES) are reported to harbor a fusion gene EWS-FLI1 (85%), inducing tumorigenesis. Additional, as the fusion gene acts as aberrant transcription factor, it similarly induces elevated PARP expression levels sensitizing ES to PARP inhibition. Second, by an exome sequencing approach in a set of primary osteosarcomas (OS) we identified mutation signatures being reminiscent of BRCA deficiency. Therefore, the sensitivity of a panel of OS cell lines to either talazoparib single treatment or in combination with several chemotherapeutic drugs was investigated.
To screen ES tumor cell lines against PARP inhibitors we applied four different PARP inhibitors (talazoparib, olaparib, niraparib and veliparib) that are frequently being used for clinical studies. We combined those PARP inhibitors with a set of chemotherapeutics (temozolomide (TMZ), SN-38, etoposide, ifosfamide, doxorubicin, vincristine and actinomycin D) that are part of the first-line therapy of ES patients. Here, we demonstrate how PARP inhibitors synergize with TMZ or SN-38 to induce apoptosis, whereas the combination of PARP inhibitors with the other drugs are not favorable. By investigation of key checkpoints in the molecular mechanisms of cell death, the pivotal role of the mitochondrial pathway of apoptosis mediating the synergy between olaparib and TMZ was revealed.
Employing talazoparib monotherapy in combination with or without several chemotherapeutic drugs (TMZ, SN-38, cisplatin, doxorubicin, methotrexate and etoposide/carboplatin), the correlation between homologous recombination (HR) repair deficiency (BRCAness) and the response to talazoparib as prototypical PARP inhibitor was validated in different OS cell lines. By calculation of combination indices (CI) and fraction affected (Fa) values, we identified TMZ as the most potent chemotherapeutic drug in combination with talazoparib inducing the mitochondrial apoptotic pathway in OS.
In our studies of two independent tumor entities with contrary genetic background we identified the combination of PARP inhibitor and TMZ as being most effective. Our studies point out that after TMZ induced DNA methylation and concomitant PARP trapping, DNA damage-imposed checkpoint kinase activation consequently induces G2-cell cycle arrest. Subsequent, PARP inhibitor/TMZ causes MCL-1 degradation, followed by activation of BAK and BAX, succeeding in loss of mitochondrial outer membrane potential (LMMP) and activation of downstream effector-caspases in mitochondrial apoptosis. Our findings emphasize the importance of PARP inhibition in order to chemosensitize ES, which express high PARP levels, or OS that bear features of BRCAness.
The humanized non-depleting anti-CD4 monoclonal antibody Tregalizumab (BT-061) is able to selectively activate the suppressive function of regulatory T cells and has been investigated up to phase 2b in clinical trials in patients suffering from rheumatoid arthritis (RA).
A pharmacokinetic-pharmacodynamic model, which is based on clinical data from RA and healthy subjects, used the cell surface CD4-down-modulation as marker of the antibodies' activity. This model surprisingly revealed a stronger effect of Tregalizumab in healthy subjects compared to RA patients. This thesis presents a series of experiments performed to understand this phenomenon.
To counteract oxidative stress, which is strongly associated with RA pathophysiology, the organism employs the small oxidoreductase thioredoxin-1 (Trx1). Therefore, augmented expression and secretion of Trx1 was seen in many studies the synovial fluid and plasma of RA patients. Moreover, the binding site of Tregalizumab is in close proximity to a disulfide bond in domain 2 (D2) of CD4, which is a known target for a reduction by Trx1. So, this thesis also evaluated the influence of Trx1 on binding of Tregalizumab to its target CD4.
With the experiments reported herein, it was possible to demonstrate that specific reduction of the D2 disulfide bond of CD4 by Trx1 led to diminished binding of Tregalizumab to recombinant human soluble CD4 (rh sCD4) and membrane-bound CD4 on T cells from a human leukemia cell line and peripheral blood mononuclear cells (PBMC). Moreover, the experiments revealed that this caused changes in the Tregalizumab-induced CD4 signalling pathway via the lymphocyte-specific protein tyrosine kinase p56Lck.
In summary, this thesis provides evidence that high Trx1 levels in RA patients compared to healthy subjects are a potential valid reason for diminished binding of Tregalizumab to CD4-positive T cells and offers an explanation for the observed decreased CD4 down-modulation in RA patients in comparison with healthy subjects. It emphasizes that binding of Tregalizumab is impaired in a particular way in RA patients.
The brain is a highly dynamic and variable system: when the same stimulus is presented to the same animal on the same day multiple times, the neural responses show high trial-to-trial variability. In addition, even in the absence of sensory stimulation neural recordings spontaneously show seemingly random activity patterns. Evoked and spontaneous neural variability is not restricted to activity but is also found in structure: most synapses do not survive for longer than two weeks and even those that do show high fluctuations in their efficacy.
Both forms of variability are further affected by stochastic components of neural processing such as frequent transmission failure. At present it is unclear how these observations relate to each other and how they arise in cortical circuits.
Here, we will investigate how the self-organizational processes of neural circuits affect the high variability in two different directions: First, we will show that recurrent dynamics of self-organizing neural networks can account for key features of neural variability. This is achieved in the absence of any intrinsic noise sources by the neural network models learning a predictive model of their environment with sampling-like dynamics. Second, we will show that the same self-organizational processes can compensate for intrinsic noise sources. For this, an analytical model and more biologically plausible models are established to explain the alignment of parallel synapses in the presence of synaptic failure.
Both modeling studies predict properties of neural variability, of which two are subsequently tested on a synapse database from a dense electron microscopy reconstruction from mouse somatosensory cortex and on multi-unit recordings from the visual cortex of macaque monkeys during a passive viewing task. While both analyses yield interesting results, the predicted properties were not confirmed, guiding the next iteration of experiments and modeling studies.
Since 2009 has the central Nigerian Nok Culture – until then primarily known for its highly artistic terracotta figurines and early evidence of iron working in the first millennium BCE – been the focus of a research project by the Goethe University Frankfurt/Main, Germany. The analysis of Nok sculptures has so far been almost entirely restricted to their stylistic features which show such great similarities that one hypothesis of the Frankfurt project has been the possible central production of these artfully crafted figurines.
This volume, written within the scope of a dissertation project completed in 2015, challenges this hypothesis by using scientific materials analysis. Combining the results of the mineralogical and geochemical analyses as well as geographic and geological observations, an alternative model for the organisation and procedure of the manufacture of the famous Nok terracottas is suggested.
They were – as the domestic pottery that is used for comparison and differentiation in this study – manufactured with locally available raw materials (clay and temper) but in different manufacturing sequences with regard to temper and clay composition. The terracottas’ clay was obviously reserved for their production only, demonstrating – aside from stylistic similarities – the value these figurines had during the Nok Culture.