Endogenous clocks help animals to anticipate the daily environmental changes. These internal clocks rely on environmental cues, called Zeitgeber, for synchronization. The molecular clock consists of transcription-translation feedback loops and is located in about 150 neurons (Helfrich-Förster and Homberg, 1993; Helfrich-Förster, 2005). The core clock has the proteins Clock (CLK) and Cycle (CYC) that together act as a transcription activator for period (per) and timeless (tim) which then, via PER and TIM block their own transcription by inhibiting CLK/CYC activity (Darlington et al., 1998; Hardin, 2005; Dubruille and Emery, 2008). Light signals trigger the degradation of TIM through a blue-light sensing protein Cryptochrome (CRY) and thus, allows CLK/CYC to resume per and tim transcription (Emery et al., 1998; Stanewsky et al., 1998). Therefore, light acts as an important Zeitgeber for the clock entrainment. The mammalian clock consists of similarly intertwined feedback loops. Endogenous clocks facilitate appropriate alterations in a variety of behaviors according to the time of day. Also, these clocks can provide the phase information to the memory centers of the brain to form the time of day related associations (TOD). TOD memories promote appropriate usage of resources and concurrently better the survival success of an animal. For instance, animals can form time-place associations related to the availability of a biologically significant stimulus like food or mate. Such memories will help the animal to obtain resources at different locations at the appropriate time of day. The significance of these memories is supported by the fact that many organisms including bees, ants, rats and mice demonstrate time-place learning (Biebach et al. 1991; Mistlberger et al. 1997; Van der Zee et al. 2008; Wenger et al. 1991). Previous studies have shown that TOD related memories rely on an internal clock, but the identity of the clock and the underlying mechanism remain less well understood. The present study demonstrates that flies can also form TOD associated odor memories and further seeks to identify the appropriate mechanism. Hungry flies were trained in the morning to associate odor A with the sucrose reward and subsequently were exposed to odor B without reward. The same flies were exposed in the afternoon to odor B with and odor A without reward. Two cycles of the 65 reversal training on two subsequent days resulted in the significant retrieval of specific odor memories in the morning and afternoon tests. Therefore, flies were able to modulate their odor preference according to the time of day. In contrast, flies trained in a non-reversal manner were unable to form TOD related memories. The study also demonstrates that flies are only able to form time-odor memories when the two reciprocal training cycles occur at a minimum 6 h interval. This work also highlights the role of the internal state of flies in establishing timeodor memories. Prolonged starvation motivates flies to appropriate their search for the food. It increases the cost associated with a wrong choice in the T-maze test as it precludes the food discovery. Accordingly, an extended starvation promotes the TOD related changes in the odor preference in flies already with a single cycle of reversal training. Intriguingly, prolonged starvation is required for the time-odor memory acquisition but is dispensable during the memory retrieval. Endogenous oscillators promote time-odor associations in flies. Flies in constant darkness have functional rhythms and can form time-odor memories. In contrast, flies kept in constant light become arrhythmic and demonstrated no change in their odor preference through the day. Also, clock mutant flies per01 and clkAR, show compromised performance compared to CS flies when trained in the time-odor conditioning assay. These results suggest that flies need a per and clk dependent oscillator for establishing TOD related memories. Also, the clock governed rhythms are necessary for the timeodor memory acquisition but not for the retrieval. Pigment-Dispersing Factor (PDF) neuropeptide is a clock output factor (Park and Hall, 1998; Park et al., 2000; Helfrich-Förster, 2009). pdf01 mutant flies are unable to form significant time-odor memories. PDF is released by 8 neurons per hemisphere in the fly brain. This cluster includes the small (s-LNvs) and large (l-LNvs) ventral lateral neurons. Restoring PDF in these 16 neurons in the pdf01 mutant background rescues the time-odor learning defect. The PDF neuropeptide activates a seven transmembrane G-protein coupled receptor (PDFR) which is broadly expressed in the fly brain (Hyun et al., 2005). The present study shows that the expression of PDFR in about 10 dorsal neurons (DN1p) is sufficient for robust time-odor associations in flies. 66 In conclusion, flies use distinct endogenous oscillators to acquire and retrieve time-odor memories. The first oscillator is light dependent and likely signals through the PDF neuropeptide to promote the usage of the time as an associative cue during appetitive conditioning. In contrast, the second clock is light independent and specifically signals the time information for the memory retrieval. The identity of this clock and the underlying mechanism are open to investigation.

This study explores novelty choice, a behavioral paradigm for the investigation of visual pattern recognition and learning of the fly Drosophila melanogaster in the flight simulator. Pattern recognition in novelty choice differs significantly from pattern recognition studied by heat conditioning, although both paradigms use the same test. Out of the four pattern parameters that the flies can learn in heat conditioning, novelty choice can be shown for height (horizontal bars differing in height), size and vertical compactness but not for oblique bars oriented at +/- 45°. Upright and inverted Ts [differing in their centers of gravity (CsOG) by 13°] that have been extensively used for heat conditioning experiments, do not elicit novelty choice. In contrast, horizontal bars differing in their CsOG by 13° do elicit novelty choice; so do the Ts after increasing their CsOG difference from 13° to 23°. This indicates that in the Ts the heights of the CsOG are not the only pattern parameters that matter for the novelty choice behavior. The novelty choice and heat conditioning paradigms are further differentiated using the gene rutabaga (rut) coding for a type 1 adenylyl cyclase. This protein had been shown to be involved in memory formation in the heat conditioning paradigm. Novelty choice is not affected by mutations in the rut gene. This is in line with the finding that dopamine, which in olfactory learning is known to regulate Rutabaga via the dopamine receptor Dumb in the mushroom bodies, is dispensable for novelty choice. It is concluded that in novelty choice the Rut cAMP pathway is not involved. Novelty choice requires short term working memory, as has been described in spatial orientation during locomotion. The protein S6KII that has been shown to be involved in visual orientation memory in walking flies is found here to be also required for novelty choice. As in heat conditioning the central complex plays a major role in novelty choice. The S6KII mutant phenotype for height can be rescued in some subsets of the ring neurons of the ellipsoid body. In addition the finding that the ellipsoid body mutants ebo678 and eboKS263 also show a mutant phenotype for height confirm the importance of ellipsoid body for height novelty choice. Interestingly some neurons in the F1 layer of the fan-shaped body are necessary for height novelty choice. Furthermore, different novelty choice phenotypes for different pattern parameters are found with and without mushroom bodies. Mushroom bodies are required in novelty choice for size but they are dispensable for height and vertical compactness. This special circuit requirement for the size parameter in novelty choice is found using various means of interference with mushroom body function during development or adulthood.

Finding the right behavior at the right time is one of the major tasks of brains. In a natural scenery there is often an abundance of stimuli present and the brain has to separate the relevant from the irrelevant ones. Selective visual attention (SVA) is a property of higher visual systems that achieves this separation, as it allows to ‘[…] focus on one source of sensory input to the exclusion of others’ (Luck and Mangun, 1996). There are probably several forms of SVA depending upon the criteria used for the separation, such as salience, color, location in space, novelty, or motion. Many studies have investigated SVA in humans and non-human primates. However, complex functions like attention were initially not expected to be already implemented in the brains of simple organisms like Drosophila. After a first demonstration of selective attention in the fly (Wolf and Heisenberg, 1980), it took some time until other studies included attentional mechanisms in their argumentation to explain certain behaviors of Drosophila. However, their definition and characterization of attention differed and often was ambiguous. Here, one particular form, spatially selective visual attention in the fly Drosophila is investigated. It has been shown earlier that the fly spontaneously may restrict its behavioral responses in stationary flight to the visual stimuli on one side of the visual field. On the basis of experiments of Sareen et al., (2011) it has been conjectured that the fly has a focus of attention (FoA) and that the fly responds to the visual stimuli within this area of the visual field. Whether the FoA is the adequate concept for this spatial property of SVA in the fly needs to be further discussed and is a subject also of the present study. At this stage, the concept will be used in the description of the new results expanding the characterization of SVA. This study continued the investigation of SVA during tethered flight with variable but controlled visual input and an automated primary data evaluation. This standardized paradigm allowed for analysis of wild-type behavior as well as for a comparison of several mutant and pharmacologically manipulated strains to the wild-type. Some properties of human SVA like the occurrence of externally as well as internally caused shifts of attention were found in Drosophila and it could be shown, that SVA in the fly can be externally guided and has an attention span. Additionally, a neurotransmitter and proteins, which play a significant role in SVA were discovered. Based on this, the genetic tools available for Drosophila provided the means to a first examination of cells and circuits involved in SVA. Finally, the free walk behavior of flies that had been shown to have compromised SVA was characterized. The results suggested that the observed phenotypes of SVA were not behavior specific. Covert shifts of the FoA were investigated. The FoA can be externally guided by visual cues to one or the other side of the visual field and even after the cue has disappeared it remains there for <4s. An intriguing finding of this study is the fact, that the quality of the cue determines whether it is attractive or repellent. For example a cue can be changed from being repellent (negative) to being attractive (positive) by changing its oscillation amplitude from 4° to 2°. Testing the effectiveness of cues in the upper and lower visual field separately, revealed that the perception of a cue by the fly is not exclusively based on a sum of its specifications. Because positive cueing did not have an after-effect in each of the two half-fields alone, but did so if the cue was shown in both, the fly seems to evaluate the cue for each combination of parameters specifically. Whether this evaluation of the cue changed on a trial-to-trial basis or if the cue in some cases failed to shift the FoA can at this point not be determined. Looking at the responses of the fly to the displacement of a black vertical stripe showed that they can be categorized as no responses, syn-directional responses (following the direction of motion of the stripe) and anti-directional responses (in the opposite direction of the motion of the stripe). The yaw-torque patterns of the latter bared similarities with spontaneous body saccades and they most likely represented escape attempts of the fly. Syn-directional responses, however, were genuine object responses, distinguishable by a longer latency until they were elicited and a larger amplitude. These properties as well as the distribution of response polarities were not influenced by the presence or absence of a cue. When two stripes were displaced simultaneously in opposite directions the rate of no responses increased in comparison to the displacement of a single stripe. If one of the stripes was cued, both, the responses towards and away from the side of cue resembled the syn-directional responses. Significant progress was made with the elucidation of the neuronal underpinnings of SVA. Ablation of the mushroom bodies (MB) demonstrated their requirement for SVA. Furthermore, it was shown that dopamine signaling has to be balanced between too much and too little. Either inhibiting the synthesis of dopamine or its re-uptake at the synapse via the dDAT impaired the flies’ susceptibility to cueing. Using the Gal4/UAS system, cell specific expression or knockdown of the dDAT was used to scrutinize the role of MB sub-compartments in SVA. The αβ-lobes turned out to be necessary and sufficient to maintain SVA. The Gal4-line c708a labels only a subset of Kenyon cells (KC) within the αβ-lobes, αβposterior. These cells stand out, because of (A) the mesh-like arrangement of their fibers within the lobes and (B) the fact that unlike the other KCs they bypass the calyx and thereby the main source of olfactory input to the MBs, forming connections only in the posterior accessory calyx (Tanaka et al., 2008). This structure receives no or only marginal olfactory input, suggesting for it a role in tasks other than olfaction. This study shows their requirement in a visual task by demonstrating that they are necessary to uphold SVA. Restoring dDAT function in these approximately only 90 cells was probably insufficient to lower the dopamine concentration at the relevant synapses and hence a rescue failed. Alternatively, the processes mediating SVA at the αβ-lobes might require an interplay between all of their KCs. In conclusion, the results provide an initial point for future research to fully understand the localization of and circuitry required for SVA in the brain. In the experiments described so far, attention has been externally guided. However, flies are also able to internally shift their FoA without any cues from the outside world. In a set of 60 consecutive simultaneous displacements of two stripes, they were more likely to produce a response with the same polarity as the preceding one than a random polarity selection predicted. This suggested a dwelling of the FoA on one side of the visual field. Assuming that each response was influenced by the previous one in a way that the probability to repeat the response polarity was increased by a certain factor (dwelling factor, df), a random selection of response type including a df was computed. Implementation of the df removed the difference between observed probability of polarity repetition and the one suggested by random selection. When the interval between displacements was iteratively increased to 5s, no significant df could be detected anymore for pauses longer than 4s. In conclusion, Drosophila has an attention span of approximately 4s. Flies with a mutation in the radish gene expressed no after-effect of cueing and had a shortened attention span of about 1s. The dDAT inhibitor methylphenidate is able to rescue the first, but does not affect the latter phenotype. Probably, radish is differently involved in the two mechanisms. This study showed, that endogenous (covert) shifts of spatially selective visual attention in the fly Drosophila can be internally and externally guided. The variables determining the quality of a cue turned out to be multifaceted and a more systematic approach is needed for a better understanding of what property or feature of the cue changes the way it is evaluated by the fly. A first step has been made to demonstrate that SVA is a fundamental process and compromising it can influence the characteristics of other behaviors like walking. The existence of an attention span, the dependence of SVA on dopamine as well as the susceptibility to pharmacological manipulations, which in humans are used to treat respective diseases, point towards striking similarities between SVA in humans and Drosophila.

Neurobiology is widely supported by bioinformatics. Due to the big amount of data generated from the biological side a computational approach is required. This thesis presents four different cases of bioinformatic tools applied to the service of Neurobiology. The first two tools presented belong to the field of image processing. In the first case, we make use of an algorithm based on the wavelet transformation to assess calcium activity events in cultured neurons. We designed an open source tool to assist neurobiology researchers in the analysis of calcium imaging videos. Such analysis is usually done manually which is time consuming and highly subjective. Our tool speeds up the work and offers the possibility of an unbiased detection of the calcium events. Even more important is that our algorithm not only detects the neuron spiking activity but also local spontaneous activity which is normally discarded because it is considered irrelevant. We showed that this activity is determinant in the calcium dynamics in neurons and it is involved in important functions like signal modulation and memory and learning. The second project is a segmentation task. In our case we are interested in segmenting the neuron nuclei in electron microscopy images of c.elegans. Marking these structures is necessary in order to reconstruct the connectome of the organism. C.elegans is a great study case due to the simplicity of its nervous system (only 502 neurons). This worm, despite its simplicity has taught us a lot about neuronal mechanisms. There is still a lot of information we can extract from the c.elegans, therein lies the importance of reconstructing its connectome. There is a current version of the c.elegans connectome but it was done by hand and on a single subject which leaves a big room for errors. By automatizing the segmentation of the electron microscopy images we guarantee an unbiased approach and we will be able to verify the connectome on several subjects. For the third project we moved from image processing applications to biological modeling. Because of the high complexity of even small biological systems it is necessary to analyze them with the help of computational tools. The term in silico was coined to refer to such computational models of biological systems. We designed an in silico model of the TNF (Tumor necrosis factor) ligand and its two principal receptors. This biological system is of high relevance because it is involved in the inflammation process. Inflammation is of most importance as protection mechanism but it can also lead to complicated diseases (e.g. cancer). Chronic inflammation processes can be particularly dangerous in the brain. In order to better understand the dynamics that govern the TNF system we created a model using the BioNetGen language. This is a rule based language that allows one to simulate systems where multiple agents are governed by a single rule. Using our model we characterized the TNF system and hypothesized about the relation of the ligand with each of the two receptors. Our hypotheses can be later used to define drug targets in the system or possible treatments for chronic inflammation or lack of the inflammatory response. The final project deals with the protein folding problem. In our organism proteins are folded all the time, because only in their folded conformation are proteins capable of doing their job (with some very few exceptions). This folding process presents a great challenge for science because it has been shown to be an NP problem. NP means non deterministic Polynomial time problem. This basically means that this kind of problems cannot be efficiently solved. Nevertheless, somehow the body is capable of folding a protein in just milliseconds. This phenomenon puzzles not only biologists but also mathematicians. In mathematics NP problems have been studied for a long time and it is known that given the solution to one NP problem we could solve many of them (i.e. NP-complete problems). If we manage to understand how nature solves the protein folding problem then we might be able to apply this solution to many other problems. Our research intends to contribute to this discussion. Unfortunately, not to explain how nature solves the protein folding problem, but to explain that it does not solve the problem at all. This seems contradictory since I just mentioned that the body folds proteins all the time, but our hypothesis is that the organisms have learned to solve a simplified version of the NP problem. Nature does not solve the protein folding problem in its full complexity. It simply solves a small instance of the problem. An instance which is as simple as a convex optimization problem. We formulate the protein folding problem as an optimization problem to illustrate our claim and present some toy examples to illustrate the formulation. If our hypothesis is true, it means that protein folding is a simple problem. So we just need to understand and model the conditions of the vicinity inside the cell at the moment the folding process occurs. Once we understand this starting conformation and its influence in the folding process we will be able to design treatments for amyloid diseases such as Alzheimer's and Parkinson's. In summary this thesis project contributes to the neurobiology research field from four different fronts. Two are practical contributions with immediate benefits, such as the calcium imaging video analysis tool and the TNF in silico model. The neuron nuclei segmentation is a contribution for the near future. A step towards the full annotation of the c.elegans connectome and later for the reconstruction of the connectome of other species. And finally, the protein folding project is a first impulse to change the way we conceive the protein folding process in nature. We try to point future research in a novel direction, where the amino code is not the most relevant characteristic of the process but the conditions within the cell.