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Adaptation is one of the basic phenomena of biology, while adaptability is an important feature for neural network. Young barn owl can well adapt its visual and auditory integration to the environmental change, such as prism wearing. At first, a mathematical model is introduced by the related study in biological experiment. The model well explained the mechanism of the sensory map realignment through axongenesis and synaptogenesis. Simulation results of this model are consistent with the biological data. Thereafter, to test the model’s application in hardware, the model is implemented into a robot. Visual and auditory signals are acquired by the sensors of the robot and transferred back to PC through bluetooth. Results of the robot experiment are presented, which shows the SC model allowing the robot to adjust visual and auditory integration to counteract the effects of a prism. Finally, based on the model, a silicon Superior Colliculus is designed in VLSI circuit and fabricated. Performance of the fabricated chip has shown the synaptogenesis and axogenesis can be emulated in VLSI circuit. The circuit of neural model provides a new method to update signals and reconfigure the switch network (the chip has an automatic reconfigurable network which is used to correct the disparity between signals). The chip is also the first Superior Colliculus VLSI circuit to emulate the sensory map realignment.

Mammalian central nervous system (CNS) neurons lose their ability to regenerate their axons after injury during development. For example, optic nerve injury studies in hamsters have shown that optic nerve axons injured around the time of birth retain the ability to regenerate to their target, but this ability is lost during development (So et al., 1981). The development of an inhibitory CNS environment has been implicated in the inability of the adult CNS to regenerate, however there is also support for this loss being a result of changes in developmental programs intrinsic to the neurons themselves (Goldberg et al., 2002a; Goldberg, 2004). While some molecules have been identified as being involved in intrinsic mechanisms controlling axon growth, there is still much to be discovered. Using genes shown to be regulated in retinal ganglion cells (RGCs) during development (Wang et al., 2007), I performed an overexpression screen in embryonic primary neurons measuring changes in neurite growth. Of these genes, the most significant effect in neurite growth was seen with overexpression of Krüppel-like factor 4 (KLF4), resulting in a greater than 50% decrease in growth. KLF4 is a member of the KLF family of transcription factors which all possess a DNA binding domain containing 3 zinc finger motifs. Outside of the nervous system, KLF4 has been implicated in cancer (Black et al., 2001; Rowland and Peeper, 2006), mitotic growth arrest (Shields et al., 1996) and most recently in the induction of pluripotency (Yamanaka, 2008; Zhao and Daley, 2008). In the CNS, KLF4 has recently been implicated in increasing the sensitivity of cortical neurons to NMDA insult (Zhu et al, 2009), though no effect of KLF4 on neurite growth or regeneration has yet been described. I found that KLF4 overexpression in RGCs results in decreased neurite growth and neurite initiation. KLF4 overexpression also leads to decreases in polarity acquisition in hippocampal neurons, though even when they acquire polarity, they still display decreased neurite growth. Additionally, KLF4 knockout targeted to RGCs leads to an increased neurite growth ability and increased neurite initiation in vitro. In vivo, KLF4 knockout increases RGC axon regeneration after optic nerve injury. Interestingly, KLF4 is one of 17 members of the KLF family, known for their ability to act redundantly and competitively amongst family members for their binding sites. Therefore, we looked to see if other KLFs could affect neurite growth ability. 15 of 17 KLF family members are expressed in RGCs, and their overexpression results in differential effects on neurite growth in both cortical neurons and RGCs. Additionally, many of the family members are developmentally regulated in a manner that typically correlates with their ability to affect neurite growth. For example, KLF6 and -7, whose expression decreases during development, when overexpressed, increase neurite growth, whereas KLF9, whose expression increases developmentally, when overexpressed, decreases neurite growth. Surprisingly, there are multiple KLFs expressed in RGCs that are neurite growth-suppressors, and further study has revealed that the combination of KLF growth enhancers with KLF growth suppressors results in a suppressive or neutral phenotype (Moore et al., 2009), suggesting that to further enhance regeneration after injury in vivo, we will need to additionally remove the growth suppression from other KLF family members. Taken together, these data suggest that KLFs may play an important role in the intrinsic loss of axon growth and regeneration seen during development. Further characterization of downstream targets of KLF4 and other KLF family members may reveal specific neuronal gene targets that could mediate the phenotypic effects of these transcription factors. It is my hope that by determining the developmental programs that underlie the loss of intrinsic axon growth ability of CNS neurons, we may ultimately determine how to revert adult CNS neurons to their embryonic axon growth ability.

The seven-pass transmembrane atypical cadherin, Flamingo (also known as Starry Night) is evolutionally conserved in both structure and function in vertebrates and invertebrates. It plays important roles during the establishment of planar cell polarity (PCP) of epithelial tissues and during the development of axons and dendrites in both peripheral and central neurons. / This thesis looks at the role of Flamingo/Starry Night in axon growth and guidance in the embryonic abdominal peripheral nervous system (PNS) of Drosophila. It describes the expression pattern of Flamingo in the PNS and its environment. A combination of single cell labelling and immunohistochemical techniques was used to define the effect of mutations in flamingo as well as several genes coding for potential Flamingo interaction partners. Rescue- and over-/mis-expression experiments featuring targeted expression of either a wild type version or mutant versions of flamingo provide information on the cellular and molecular mechanisms by which Flamingo regulates sensory axon development. Loss of Flamingo function results in a highly penetrant axon stall phenotype. Both sensory and motor axons frequently halt their advance early along their normal trajectories. Flamingo appears to mediate an axon growth promoting signal upon contact of sensory growth cones with specific early intermediate targets. Expression of Flamingo in sensory neurons is sufficient to rescue the mutant sensory axon phenotype. This rescue is at least partially independent of most of the extracellular region of the Flamingo protein. While Flamingo was previously found to have homophilic adhesion properties in vitro and appears to function by a homophilic mechanism during the neurite development of several types of neurons, this study supports a heterophilic signalling mechanism by which Flamingo fulfils its role in abdominal sensory axon growth promotion.

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La construction du cerveau et de ses connexions pendant le développement reste une question ouverte dans la communauté scientifique. Des efforts fructueux ont été faits pour élucider les mécanismes de la croissance axonale, tels que la guidance axonale et les molécules de guidage. Cependant, des preuves récentes suggèrent que d'autres acteurs seraient impliqués dans la croissance des neurones in vivo. Notamment, les axones se développent dans des environnements mécaniquement contraints. Ainsi, pour bien comprendre ce processus dynamique, il faut prendre en compte les mécanismes collectifs et les interactions mécaniques au sein des populations axonales. Néanmoins, les techniques pour mesurer directement cela à partir de cerveaux vivants sont aujourd'hui insuffisantes ou lourdes à mettre en œuvre. Cette thèse résulte d'une collaboration multidisciplinaire, pour faire la lumière sur le développement axonal in vivo et les morphologies complexes des axones adultes. Notre travail a été inspiré et validé à partir d'images d'axones y individuels chez la drosophile, de type sauvage et modifiés génétiquement, que nous avons segmentés et normalisés. Nous avons d'abord proposé un cadre mathématique pour l'étude morphologique et la classification des groupes axonaux. A partir de cette analyse, nous avons émis l'hypothèse que la croissance axonale dérive d'un processus stochastique et que la variabilité et la complexité des arbres axonaux résultent de sa nature intrinsèque, ainsi que des stratégies d'élongation développées pour surmonter les contraintes mécaniques du cerveau en développement. Nous avons conçu un modèle mathématique de la croissance d'un axone isolé fondé sur des chaînes de Markov gaussiennes avec deux paramètres, représentant la rigidité axonale et l'attraction du champ cible. Nous avons estimé les paramètres de ce modèle à partir de données réelles et simulé la croissance des axones à l'échelle de populations et avec des contraintes spatiales pour tester notre hypothèse. Nous avons abordé des thèmes de mathématiques appliquées ainsi que de la biologie, et dévoilé des effets inexplorés de la croissance collective sur le développement axonal in vivo. / How the brain wires up during development remains an open question in the scientific community across disciplines. Fruitful efforts have been made to elucidate the mechanisms of axonal growth, such as pathfinding and guiding molecules. However, recent evidence suggests other actors to be involved in neuron growth in vivo. Notably, axons develop in populations and embedded in mechanically constrained environments. Thus, to fully understand this dynamic process, one must take into account collective mechanisms and mechanical interactions within the axonal populations. However, techniques to directly measure this from living brains are today lacking or heavy to implement. This thesis emerges from a multidisciplinary collaboration, to shed light on axonal development in vivo and how adult complex axonal morphologies are attained. Our work is inspired and validated from images of single wild type and mutated Drosophila y axons, which we have segmented and normalized. We first proposed a mathematical framework for the morphological study and classification of axonal groups. From this analysis we hypothesized that axon growth derives from a stochastic process, and that the variability and complexity of axonal trees result from its intrinsic nature, as well as from elongation strategies developed to overcome the mechanical constraints of the developing brain. We designed a mathematical model of single axon growth based on Gaussian Markov Chains with two parameters, accounting for axon rigidity and attraction to the target field. We estimated the model parameters from data, and simulated the growing axons embedded in spatially constraint populations to test our hypothesis. We dealt with themes from applied mathematics as well as from biology, and unveiled unexplored effects of collective growth on axonal development in vivo.

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