Lernen mit einer Hybride aus Lernendem Klassifizierendem System und Selbstorganisierender Karte

Im Forschungsgebiet der Künstlichen Intelligenz, insbesondere im Bereich des maschinellen Lernens, hat sich eine ganze Reihe von Verfahren etabliert, die von biologischen Vorbildern inspiriert sind. Die prominentesten Vertreter derartiger Verfahren sind zum einen Evolutionäre Algorithmen, zum anderen Künstliche Neuronale Netze. Die vorliegende Arbeit befasst sich mit der Entwicklung eines Systems zum maschinellen Lernen, das Charakteristika beider Paradigmen in sich vereint: Das Hybride Lernende Klassifizierende System (HCS) wird basierend auf dem reellwertig kodierten eXtended Learning Classifier System (XCS), das als Lernmechanismus einen Genetischen Algorithmus enthält, und dem Wachsenden Neuralen Gas (GNG) entwickelt. Wie das XCS evolviert auch das HCS mit Hilfe eines Genetischen Algorithmus eine Population von Klassifizierern - das sind Regeln der Form [WENN Bedingung DANN Aktion], wobei die Bedingung angibt, in welchem Bereich des Zustandsraumes eines Lernproblems ein Klassifizierer anwendbar ist. Beim XCS spezifiziert die Bedingung in der Regel einen achsenparallelen Hyperquader, was oftmals keine angemessene Unterteilung des Zustandsraumes erlaubt. Beim HCS hingegen werden die Bedingungen der Klassifizierer durch Gewichtsvektoren beschrieben, wie die Neuronen des GNG sie besitzen. Jeder Klassifizierer ist anwendbar in seiner Zelle der durch die Population des HCS induzierten Voronoizerlegung des Zustandsraumes, dieser kann also flexibler unterteilt werden als beim XCS. Die Verwendung von Gewichtsvektoren ermöglicht ferner, einen vom Neuronenadaptationsverfahren des GNG abgeleiteten Mechanismus als zweites Lernverfahren neben dem Genetischen Algorithmus einzusetzen. Während das Lernen beim XCS rein evolutionär erfolgt, also nur durch Erzeugen neuer Klassifizierer, ermöglicht dies dem HCS, bereits vorhandene Klassifizierer anzupassen und zu verbessern. Zur Evaluation des HCS werden mit diesem verschiedene Lern-Experimente durchgeführt. Die Leistungsfähigkeit des Ansatzes wird in einer Reihe von Lernproblemen aus den Bereichen der Klassifikation, der Funktionsapproximation und des Lernens von Aktionen in einer interaktiven Lernumgebung unter Beweis gestellt.

Synthesis and evaluation of 18-F-radiopharmaceuticals within the serotonergic receptor system for molecular imaging

Molecular imaging technologies as Positron Emission Tomography (PET) are playing a key role in drug discovery, development and delivery due to the possibility to quantify e.g. the binding potential in vivo, non-invasively and repetitively. In this context, it provides a significant advance in the understanding of many CNS disorders and conditions. The serotonergic receptor system is involved in a number of important physiological processes and diseases such as depression, schizophrenia, Alzheimer’s disease, sleep or sexual behaviour. Especially, the 5-HT2A and the 5-HT1A receptor subtypes are in the focus of fundamental and clinical research due to the fact that many psychotic drugs interact with these neuronal transmembrane receptors. This work describes the successful development, as well as in vitro and in vivo evaluation of 5-HT2A and 5-HT1A selective antagonistic PET-radiotracers. The major achievements obtained in this thesis are: 1. the development and in vitro evaluation of several 5-HT2A antagonistic compounds, namely MH.MZ (Ki = 9.0 nM), (R)-MH.MZ (Ki = 0.72 nM) and MA-1 (Ki = 3.0 nM). 2. the 18F-labeling procedure of these compounds and their optimization, whereby radiochemical yields > 35 % in high specific activities (> 15 GBq/µmol) could be observed. Synthesis time inclusive secondary synthon synthesis, the radioactive labeling procedure, separation and final formulation took no longer than 120 min and provided the tracer in high radiochemical purity. 3. the in vivo µPET evaluation of [18F]MH.MZ and (R)-[18F]MH.MZ resulting in promising imaging agents of the 5-HT2A receptor status; from which (R)-[18F]MH.MZ seems to be the most promising ligand. 4. the determination of the influence of P-gp on the brain biodistribution of [18F]MH.MZ showing a strong P-gp dependency but no regional alteration. 5. the four-step radiosynthesis and evaluation of [18F]MDL 100907 resulting in another high affine tracer, which is, however, limited due to its low radiochemical yield. 6. the development and evaluation of 3 novel possible 5-HT2A imaging agents combining structural elements of altanserin, MDL 100907 and SR 46349B demonstrating different binding modes of these compounds. 7. the development, the labeling and in vitro evaluation of the novel 5-HT1A antagonistic tracer [18F]AH1.MZ (Ki = 4.2 nM).

Hox genes and the regulation of programmed cell death in the embryonic central nervous system of Drosophila melanogaster

This study deals with the function and regulation of programmed cell death, or apoptosis, in the development of the embryonic central nervous system of Drosophila melanogaster. The first part provides a description of apoptosis-deficient embryos, which showed that preventing apoptosis does not cause gross morphological defects in the CNS, as it appears well organized despite the presence of too many cells. An analysis of the incidence and pattern of apoptosis over the course of development discloses a partly very orderly pattern suggesting tight spatio-temporal control, but also reveals random apoptotic cells, which suggests a certain amount of plasticity in the embryo. This analysis also allowed precise identification of some of the dying neural cells in the embryo, and establishment of single cell models for studying regulation of segment-specific apoptosis in the embryonic CNS. In the second part of the work, further investigations into mechanisms controlling segment-specific apoptosis revealed the involvement of two Hox genes, Antennapedia (Antp) and Ultrabithorax (Ubx), in this process. Hox genes control the formation of segment-specific structures in their domains of expression, but also regulate organ and tissue morphogenesis. The study presented here shows that Antp and Ubx play antagonistic roles in motoneuron survival in the embryo. Ubx expression in the CNS is strongly upregulated at a late point in development, when most cells have begun to differentiate. This upregulation shortly precedes Ubx-dependent, segment-specific apoptosis of two differentiated motoneurons. It could further be demonstrated that Antp is required for proper development of the NB7-3 lineage and for survival of the NB7-3 motoneuron in the anterior thoracic segments. In segments where Antp and Ubx expression overlaps, Ubx counteracts the anti-apoptotic function of Antp, resulting in cell death. Thus, these two Hox genes play opposing roles in the survival of differentiated neurons in the late developing nervous system. They thereby contribute to establishment of correct connections between outward-projecting neurons and their targets, which is crucial for the assembly of functional neural circuits, as these have to fulfill region-specific locomotion and sensory requirements along the antero-posterior body axis.