@phdthesis{Schaper2019,
  author    = {Schaper, Philipp},
  title     = {Errors in Prospective Memory},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-175217},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2019},
  abstract  = {Prospektives Ged{\"a}chtnis beschreibt die F{\"a}higkeit Intentionen zu einem sp{\"a}teren Zeitpunkt als Reaktion auf einen Hinweisreiz auszuf{\"u}hren. Derartige Aufgaben finden sich zahlreich in Alltags- wie auch Arbeitskontexten, waren aber im Gegensatz zum retrospektiven Ged{\"a}chtnis lange Zeit nicht im Fokus der Forschung. Erst die Arbeit von Harris (1984) und insbesondere der Artikel von Einstein and McDaniel (1990) wurden Ausgangspunkte eines sich stetig vergr{\"o}ßernden Forschungsfeldes. Aufbauend auf dieser Forschung werden im Rahmen dieser Dissertationsschrift f{\"u}nf Journal-Artikel pr{\"a}sentiert und verkn{\"u}pft, die das Verst{\"a}ndnis zum prospektiven Ged{\"a}chtnis durch die Betrachtung von m{\"o}glichen Fehlern erweitern. Die erste Studie besch{\"a}ftigt sich mit der Frage ob zus{\"a}tzliche kognitiven Ressourcen ben{\"o}tigt werden um eine Intention zwischen dem Hinweisreiz und ihrer Ausf{\"u}hrung aufrecht zu erhalten. Die Folgerungen von Einstein, McDaniel, Williford, Pagan, and Dismukes (2003), die eine derartige Aufrechterhaltung vorschlugen konnten nicht repliziert werden. In der zweiten Studie konnte gezeigt werden, dass Unterbrechungen zwischen Hinweisreiz und Ausf{\"u}hrung der Intention insbesondere dann negative Folgen zeigen, wenn sie mit einem Kontextwechsel verbunden sind. In den Studien drei bis f{\"u}nf stand das irrt{\"u}mliche Ausf{\"u}hren von beendeten prospektiven Ged{\"a}chtnisaufgaben im Zentrum der Untersuchung. Hier konnte nicht nur gezeigt werden, dass die bisherige Theorie zur Vorhersage derartiger Fehler, die vor allem auf Unterdr{\"u}ckung der Reaktion beruht (Bugg, Scullin, \& Rauvola, 2016), mit den Ergebnissen speziell zu deren Pr{\"u}fung entworfener Experimente nicht zu vereinbaren ist. Dar{\"u}ber hinaus wurde im Rahmen der Untersuchungen eine Modifikation der Theorie ausgearbeitet, die besser geeignet erscheint sowohl bisherige Ergebnisse als auch die hinzugekommenen Experimente vorherzusagen. {\"U}ber alle f{\"u}nf Artikel wird zus{\"a}tzlich verdeutlicht, dass der Moment in dem der Hinweisreiz pr{\"a}sentiert wird eine noch gr{\"o}ßere Rolle zu spielen scheint, als durch bisherige Forschung deutlich geworden ist.},
  subject      = {Ged{\"a}chtnis},
  language  = {en}
}
@phdthesis{Lyutova2019,
  author    = {Lyutova, Radostina},
  title     = {Functional dissection of recurrent feedback signaling within the mushroom body network of the Drosophila larva},
  doi       = {10.25972/OPUS-18728},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-187281},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2019},
  abstract  = {Behavioral adaptation to environmental changes is crucial for animals' survival. The prediction of the outcome of one owns action, like finding reward or avoiding punishment, requires recollection of past experiences and comparison with current situation, and adjustment of behavioral responses. The process of memory acquisition is called learning, and the Drosophila larva came up to be an excellent model organism for studying the neural mechanisms of memory formation. In Drosophila, associative memories are formed, stored and expressed in the mushroom bodies. In the last years, great progress has been made in uncovering the anatomical architecture of these brain structures, however there is still a lack of knowledge about the functional connectivity. Dopamine plays essential roles in learning processes, as dopaminergic neurons mediate information about the presence of rewarding and punishing stimuli to the mushroom bodies. In the following work, the function of a newly identified anatomical connection from the mushroom bodies to rewarding dopaminergic neurons was dissected. A recurrent feedback signaling within the neuronal network was analyzed by simultaneous genetic manipulation of the mushroom body Kenyon cells and dopaminergic neurons from the primary protocerebral anterior (pPAM) cluster, and learning assays were performed in order to unravel the impact of the Kenyon cells-to-pPAM neurons feedback loop on larval memory formation. In a substitution learning assay, simultaneous odor exposure paired with optogenetic activation of Kenyon cells in fruit fly larvae in absence of a rewarding stimulus resulted in formation of an appetitive memory, whereas no learning behavior was observed when pPAM neurons were ablated in addition to the KC activation. I argue that the activation of Kenyon cells may induce an internal signal that mimics reward exposure by feedback activation of the rewarding dopaminergic neurons. My data further suggests that the Kenyon cells-to-pPAM communication relies on peptidergic signaling via short neuropeptide F and underlies memory stabilization.},
  subject      = {Lernen},
  language  = {en}
}
@phdthesis{EngelhardtgebChristiansen2013,
  author    = {Engelhardt [geb. Christiansen], Frauke},
  title     = {Synaptic Connectivity in the Mushroom Body Calyx of Drosophila melanogaster},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-85058},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2013},
  abstract  = {Learning and memory is considered to require synaptic plasticity at presynaptic specializations of neurons. Kenyon cells are the intrinsic neurons of the primary olfactory learning center in the brain of arthropods - the mushroom body neuropils. An olfactory mushroom body memory trace is supposed to be located at the presynapses of Kenyon cells. In the calyx, a sub-compartment of the mushroom bodies, Kenyon cell dendrites receive olfactory input provided via projection neurons. Their output synapses, however, were thought to reside exclusively along their axonal projections outside the calyx, in the mushroom body lobes. By means of high-resolution imaging and with novel transgenic tools, we showed that the calyx of the fruit fly Drosophila melanogaster also comprised Kenyon cell presynapses. At these presynapses, synaptic vesicles were present, which were capable of neurotransmitter release upon stimulation. In addition, the newly identified Kenyon cell presynapses shared similarities with most other presynapses: their active zones, the sites of vesicle fusion, contained the proteins Bruchpilot and Syd-1. These proteins are part of the cytomatrix at the active zone, a scaffold controlling synaptic vesicle endo- and exocytosis. Kenyon cell presynapses were present in γ- and α/β-type KCs but not in α/β-type Kenyon cells. The newly identified Kenyon cell derived presynapses in the calyx are candidate sites for an olfactory associative memory trace. We hypothesize that, as in mammals, recurrent neuronal activity might operate for memory retrieval in the fly olfactory system. Moreover, we present evidence for structural synaptic plasticity in the mushroom body calyx. This is the first demonstration of synaptic plasticity in the central nervous system of Drosophila melanogaster. The volume of the mushroom body calyx can change according to changes in the environment. Also size and numbers of microglomeruli - sub-structures of the calyx, at which projection neurons contact Kenyon cells - can change. We investigated the synapses within the microglomeruli in detail by using new transgenic tools for visualizing presynaptic active zones and postsynaptic densities. Here, we could show, by disruption of the projection neuron - Kenyon cell circuit, that synapses of microglomeruli were subject to activity-dependent synaptic plasticity. Projection neurons that could not generate action potentials compensated their functional limitation by increasing the number of active zones per microglomerulus. Moreover, they built more and enlarged microglomeruli. Our data provide clear evidence for an activity-induced, structural synaptic plasticity as well as for the activity-induced reorganization of the olfactory circuitry in the mushroom body calyx.},
  subject      = {Taufliege},
  language  = {en}
}
@phdthesis{Schleyer2012,
  author    = {Schleyer, Michael},
  title     = {Integrating past, present and future: mechanisms of a simple decision in larval Drosophila},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-78923},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2012},
  abstract  = {Is behaviour response or action? In this Thesis I study this question regarding a rather simple organism, the larva of the fruit fly Drosophila melanogaster. Despite its numerically simple brain and limited behavioural repertoire, it is nevertheless capable to accomplish surprisingly complex tasks. After association of an odour and a rewarding or punishing reinforcement signal, the learnt odour is able to retrieve the formed memory trace. However, the activated memory trace is not automatically turned into learned behaviour: Appetitive memory traces are behaviourally expressed only in absence of the rewarding tastant whereas aversive memory traces are behaviourally expressed in the presence of the punishing tastant. The 'decision' whether to behaviourally express a memory trace or not relies on a quantitive comparison between memory trace and current situation: only if the memory trace (after odour-sugar training) predicts a stronger sugar reward than currently present, animals show appetitive conditioned behaviour. Learned appetitive behaviour is best seen as active search for food - being pointless in the presence of (enough) food. Learned aversive behaviour, in turn, can be seen as escape from a punishment - being pointless in absence of punishment. Importantly, appetitive and aversive memory traces can be formed and retrieved independent from each other but also can, under appriate circumstances, summate to jointly organise conditioned behaviour. In contrast to learned behaviour, innate olfactory behaviour is not influenced by gustatory processing and vice versa. Thus, innate olfactory and gustatory behaviour is rather rigid and reflexive in nature, being executed almost regardless of other environmental cues. I suggest a behavioural circuit-model of chemosensory behaviour and the 'decision' process whether to behaviourally express a memory trace or not. This model reflects known components of the larval chemobehavioural circuit and provides clear hypotheses about the kinds of architecture to look for in the currently unknown parts of this circuit. The second chapter deals with gustatory perception and processing (especially of bitter substances). Quinine, the bitter tastant in tonic water and bitter lemon, is aversive for larvae, suppresses feeding behaviour and can act as aversive reinforcer in learning experiments. However, all three examined behaviours differ in their dose-effect dynamics, suggesting different molecular and cellular processing streams at some level. Innate choice behaviour, thought to be relatively reflexive and hard-wired, nevertheless can be influenced by the gustatory context. That is, attraction toward sweet tastants is decreased in presence of bitter tastants. The extent of this inhibitory effect depends on the concentration of both sweet and bitter tastant. Importantly, sweet tastants differ in their sensitivity to bitter interference, indicating a stimulus-specific mechanism. The molecular and cellular processes underlying the inhibitory effect of bitter tastants are unknown, but the behavioural results presented here provide a framework to further investigate interactions of gustatory processing streams.},
  subject      = {Lernen},
  language  = {en}
}
@phdthesis{Kapustjansky2011,
  author    = {Kapustjansky, Alexander},
  title     = {In vivo imaging and optogenetic approach to study the formation of olfactory memory and locomotor behaviour in Drosophila melanogaster},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-69535},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2011},
  abstract  = {Understanding of complex interactions and events in a nervous system, leading from the molecular level up to certain behavioural patterns calls for interdisciplinary interactions of various research areas. The goal of the presented work is to achieve such an interdisciplinary approach to study and manipulate animal behaviour and its underlying mechanisms. Optical in vivo imaging is a new constantly evolving method, allowing one to study not only the local but also wide reaching activity in the nervous system. Due to ease of its genetic accessibility Drosophila melanogaster represents an extraordinary experimental organism to utilize not only imaging but also various optogenetic techniques to study the neuronal underpinnings of behaviour. In this study four genetically encoded sensors were used to investigate the temporal dynamics of cAMP concentration changes in the horizontal lobes of the mushroom body, a brain area important for learning and memory, in response to various physiological and pharmacological stimuli. Several transgenic lines with various genomic insertion sites for the sensor constructs Epac1, Epac2, Epac2K390E and HCN2 were screened for the best signal quality, one line was selected for further experiments. The in vivo functionality of the sensor was assessed via pharmacological application of 8-bromo-cAMP as well as Forskolin, a substance stimulating cAMP producing adenylyl cyclases. This was followed by recording of the cAMP dynamics in response to the application of dopamine and octopamine, as well as to the presentation of electric shock, odorants or a simulated olfactory signal, induced by acetylcholine application to the observed brain area. In addition the interaction between the shock and the simulated olfactory signal by simultaneous presentation of both stimuli was studied. Preliminary results are supporting a coincidence detection mechanism at the level of the adenylyl cyclase as postulated by the present model for classical olfactory conditioning. In a second series of experiments an effort was made to selecticvely activate a subset of neurons via the optogenetic tool Channelrhodopsin (ChR2). This was achieved by recording the behaviour of the fly in a walking ball paradigm. A new method was developed to analyse the walking behaviour of the animal whose brain was made optically accessible via a dissection technique, as used for imaging, thus allowing one to target selected brain areas. Using the Gal4-UAS system the protocerebral bridge, a substructure of the central complex, was highlighted by expressing the ChR2 tagged by fluorescent protein EYFP. First behavioural recordings of such specially prepared animals were made. Lastly a new experimental paradigm for single animal conditioning was developed (Shock Box). Its design is based on the established Heat Box paradigm, however in addition to spatial and operant conditioning available in the Heat Box, the design of the new paradigm allows one to set up experiments to study classical and semioperant olfactory conditioning, as well as semioperant place learning and operant no idleness experiments. First experiments involving place learning were successfully performed in the new apparatus.},
  subject      = {Taufliege},
  language  = {en}
}
@phdthesis{Pahl2011,
  author    = {Pahl, Mario},
  title     = {Honeybee Cognition: Aspects of Learning, Memory and Navigation in a Social Insect},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-66165},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2011},
  abstract  = {Honeybees (Apis mellifera) forage on a great variety of plant species, navigate over large distances to crucial resources, and return to communicate the locations of food sources and potential new nest sites to nest mates using a symbolic dance language. In order to achieve this, honeybees have evolved a rich repertoire of adaptive behaviours, some of which were earlier believed to be restricted to vertebrates. In this thesis, I explore the mechanisms involved in honeybee learning, memory, numerical competence and navigation. The findings acquired in this thesis show that honeybees are not the simple reflex automats they were once believed to be. The level of sophistication I found in the bees' memory, their learning ability, their time sense, their numerical competence and their navigational abilities are surprisingly similar to the results obtained in comparable experiments with vertebrates. Thus, we should reconsider the notion that a bigger brain automatically indicates higher intelligence.},
  subject      = {Biene},
  language  = {en}
}
@phdthesis{Bertolucci2008,
  author    = {Bertolucci, Franco},
  title     = {Operant and classical learning in Drosophila melanogaster: the ignorant gene (ign)},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-33984},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2008},
  abstract  = {One of the major challenges in neuroscience is to understand the neuronal processes that underlie learning and memory. For example, what biochemical pathways underlie the coincidence detection between stimuli during classical conditioning, or between an action and its consequences during operant conditioning? In which neural substructures is this information stored? How similar are the pathways mediating these two types of associative learning and at which level do they diverge? The fly Drosophila melanogaster is an appropriate model organism to address these questions due to the availability of suitable learning paradigms and neurogenetic tools. It permits an extensive study of the functional role of the gene S6KII which in Drosophila had been found to be differentially involved in classical and operant conditioning (Bertolucci, 2002; Putz et al., 2004). Genomic rescue experiments showed that olfactory conditioning in the Tully machine, a paradigm for Pavlovian olfactory conditioning, depends on the presence of an intact S6KII gene. This rescue was successfully performed on both the null mutant and a partial deletion, suggesting that the removal of the phosphorylating unit of the kinase was the main cause of the functional defect. The GAL4/UAS system was used to achieve temporal and spatial control of S6KII expression. It was shown that expression of the kinase during the adult stage was essential for the rescue. This finding ruled out a developmental origin of the mutant learning phenotype. Furthermore, targeted spatial rescue of S6KII revealed a requirement in the mushroom bodies and excluded other brain structures like the median bundle, the antennal lobes and the central complex. This pattern is very similar to the one previously identified with the rutabaga mutant (Zars et al., 2000). Experiments with the double mutant rut, ign58-1 suggest that both rutabaga and S6KII operate in the same signalling pathway. Previous studies had already shown that deviating results from operant and classical conditioning point to different roles for S6KII in the two types of learning (Bertolucci, 2002; Putz, 2002). This conclusion was further strengthened by the defective performance of the transgenic lines in place learning and their normal behavior in olfactory conditioning. A novel type of learning experiment, called "idle experiment", was designed. It is based on the conditioning of the walking activity and represents a purely operant task, overcoming some of the limitations of the "standard" heat-box experiment, a place learning paradigm. The novel nature of the idle experiment allowed exploring "learned helplessness" in flies, unveiling astonishing similarities to more complex organisms such as rats, mice and humans. Learned helplessness in Drosophila is found only in females and is sensitive to antidepressants.},
  subject      = {Klassische Konditionierung},
  language  = {en}
}
@phdthesis{Thum2006,
  author    = {Thum, Andreas Stephan},
  title     = {Sugar reward learning in Drosophila : neuronal circuits in Drosophila associative olfactory learning},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-17930},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2006},
  abstract  = {Genetic intervention in the fly Drosophila melanogaster has provided strong evidence that the mushroom bodies of the insect brain act as the seat of memory traces for aversive and appetitive olfactory learning (reviewed in Heisenberg, 2003). In flies, electroshock is mainly used as negative reinforcer. Unfortunately this fact complicates a comparative consideration with other inscets as most studies use sugar as positive reinforcer. For example, several lines of evidence from honeybee and moth have suggested another site, the antennal lobe, to house neuronal plasticity underlying appetitive olfactory memory (reviewed in Menzel, 2001; Daly et al., 2004). Because of this I focused my work mainly on appetitive olfactory learning. In the first part of my thesis, I used a novel genetic tool, the TARGET system (McGuire et al., 2003), which allows the temporally controlled expression of a given effector gene in a defined set of cells. Comparing effector genes which either block neurotransmission or ablate cells showed important differences, revealing that selection of the appropriate effector gene is critical for evaluating the function of neural circuits. In the second part, a new engram of olfactory memory in the Drosophila projection neurons is described by restoring Rutabaga adenlylate cyclase (rut-AC) activity specifically in these cells. Expression of wild-type rutabaga in the projection neurons fully rescued the defect in sugar reward memory, but not in aversive electric shock memory. No difference was found in the stability of the appetitive memories rescued either in projection neurons or Kenyon cells. In the third part of the thesis I tried to understand how the reinforcing signals for sugar reward are internally represented. In the bee Hammer (1993) described a single octopaminergic neuron - called VUMmx1 - that mediates the sugar stimulus in associative olfactory reward learning. Analysis of single VUM neurons in the fly (Selcho, 2006) identified a neuron with a similar morphology as the VUMmx1 neuron. As there is a mutant in Drosophila lacking the last enzymatic step in octopamine synthesis (Monastirioti et al., 1996), Tyramine beta Hydroxylase, I was able to show that local Tyramine beta Hydroxylase expression successfully rescued sugar reward learning. This allows to conclude that about 250 cells including the VUM cluster are sufficient for mediating the sugar reinforcement signal in the fly. The description of a VUMmx1 similar neuron and the involvement of the VUM cluster in mediating the octopaminergic sugar stimulus are the first steps in establishing a neuronal map for US processing in Drosophila. Based on this work several experiments are contrivable to reach this ultimate goal in the fly. Taken together, the described similiarities between Drosophila and honeybee regarding the memory organisation in MBs and PNs and the proposed internal representation of the sugar reward suggest an evolutionarily conserved mechanism for appetitive olfactory learning in insects.},
  subject      = {Taufliege},
  language  = {en}
}
@phdthesis{Masek2005,
  author    = {Masek, Pavel},
  title     = {Odor intensity learning in Drosophila},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-15546},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2005},
  abstract  = {It has been known for a long time that Drosophila can learn to discriminate not only between different odorants but also between different concentrations of the same odor. Olfactory associative learning has been described as a pairing between odorant and electric shock and since then, most of the experiments conducted in this respect have largely neglected the dual properties of odors: quality and intensity. For odorant-coupled short-term memory, a biochemical model has been proposed that mainly relies on the known cAMP signaling pathway. Mushroom bodies (MB) have been shown to be necessary and sufficient for this type of memory, and the MB-model of odor learning and short-term memory was established. Yet, theoretically, based on the MB-model, flies should not be able to learn concentrations if trained to the lower of the two concentrations in the test. In this thesis, I investigate the role of concentration-dependent learning, establishment of a concentration-dependent memory and their correlation to the standard two-odor learning as described by the MB-model. In order to highlight the difference between learning of quality and learning of intensity of the same odor I have tried to characterize the nature of the stimulus that is actually learned by the flies, leading to the conclusion that during the training flies learn all possible cues that are presented at the time. The type of the following test seems to govern the usage of the information available. This revealed a distinction between what flies learned and what is actually measured. Furthermore, I have shown that learning of concentration is associative and that it is symmetrical between high and low concentrations. I have also shown how the subjective quality perception of an odor changes with changing intensity, suggesting that one odor can have more than one scent. There is no proof that flies perceive a range of concentrations of one odorant as one (odor) quality. Flies display a certain level of concentration invariance that is limited and related to the particular concentration. Learning of concentration is relevant only to a limited range of concentrations within the boundaries of concentration invariance. Moreover, under certain conditions, two chemically distinct odorants could smell sufficiently similarly such, that they can be generalized between each other like if they would be of the same quality. Therefore, the abilities of the fly to identify the difference in quality or in intensity of the stimuli need to be distinguished. The way how the stimulus is analyzed and processed speaks in favor of a concept postulating the existence of two separated memories. To follow this concept, I have proposed a new form of memory called odor intensity memory (OIM), characterized it and compared it to other olfactory memories. OIM is independent of some members of the known cAMP signaling pathway and very likely forms the rutabaga-independent component of the standard two-odor memory. The rutabaga-dependent odor memory requires qualitatively different olfactory stimuli. OIM is revealed within the limits of concentration invariance where the memory test gives only sub-optimal performance for the concentration differences but discrimination of odor quality is not possible at all. Based on the available experimental tools, OIM seems to require the mushroom bodies the same as odor-quality memory but its properties are different. Flies can memorize the quality of several odorants at a given time but a newly formed memory of one odor interferes with the OIM stored before. In addition, the OIM lasts only 1 to 3 hours - much shorter than the odor-quality memory.},
  subject      = {Taufliege},
  language  = {en}
}
@phdthesis{Schwaerzel2003,
  author    = {Schw{\"a}rzel, Martin},
  title     = {Localizing engrams of olfactory memories in Drosophila},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-5065},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2003},
  abstract  = {Zars and co-workers were able to localize an engram of aversive olfactory memory to the mushroom bodies of Drosophila (Zars et al., 2000). In this thesis, I followed up on this finding in two ways. Inspired by Zars et al. (2000), I first focused on the whether it would also be possible to localize memory extinction.While memory extinction is well established behaviorally, little is known about the underlying circuitry and molecular mechanisms. In extension to the findings by Zars et al (2000), I show that aversive olfactory memories remain localized to a subset of mushroom body Kenyon cells for up to 3 hours. Extinction localizes to the same set of Kenyon cells. This common localization suggests a model in which unreinforced presentations of a previously learned odorant intracellularly antagonizes the signaling cascades underlying memory formation. The second part also targets memory localization, but addresses appetitive memory. I show that memories for the same olfactory cue can be established through either sugar or electric shock reinforcement. Importantly, these memories localize to the same set of neurons within the mushroom body. Thus, the question becomes apparent how the same signal can be associated with different events. It is shown that two different monoamines are specificaly necessary for formation of either of these memories, dopamine in case of electric shock and octopamine in case of sugar memory, respectively. Taking the representation of the olfactory cue within the mushroom bodies into account, the data suggest that the two memory traces are located in the same Kenyon cells, but in separate subcellular domains, one modulated by dopamine, the other by octopamine. Taken together, this study takes two further steps in the search for the engram. (1) The result that in Drosophila olfactory learning several memories are organized within the same set of Kenyon cells is in contrast to the pessimism expressed by Lashley that is might not be possible to localize an engram. (2) Beyond localization, a possibible mechanism how several engrams about the same stimulus can be localized within the same neurons might be suggested by the models of subcellular organisation, as postulated in case of appetitive and aversive memory on the one hand and acquisition and extinction of aversive memory on the other hand.},
  subject      = {Taufliege},
  language  = {en}
}