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Mitochondria are the "power plants" of eukaryotic cells involved cellular energy metabolism and lead the generation of most of the cellular "energy currency" adenosine triphosphate (ATP). In addition, they have other crucial functions including the control of programmed cell death, iron/sulfur cluster biogenesis and copper and calcium homeostasis. Mitochondrial dysfunction is deleterious and leads to degeneration, disease and aging. A number of individual pathways are active in keeping mitochondria functional over longer periods of time and thereby have a strong impact on lifespan. These mitochondrial quality control (mtQC) pathways occur at different molecular and cellular levels and are all limited in their capacity. They do not all work at the same time. Some of them are induced when others fail. Currently, the underlying molecular interaction of pathways and their regulation is only initially elucidated. ...
The objectives of this thesis were to understand how distinct classes of cell types interact to shape oscillatory activity in cortical circuits of the turtle. We chose the turtle cortex as a model system for cortical computations for two reasons. One is that the phylogenetic position of turtles makes their cortex functionally and anatomically particularly interesting. The second is that reptilian brains present several unique experimental advantages. Turtles have a three-layered cortex that forms the dorsalmost part of their pallium and receives direct input from visual thalamus. Thus turtle cortex, while sharing several features with mammalian cortices, constitutes a simpler system for studying cortical computations and dynamics. Freshwater turtles are semiaquatic species, that dive for hours and hibernate for months without breathing. Their brains are adapted to these behaviors so that they can operate under severe anoxia. This property allows for ex vivo wholebrain and whole-cortex (”cortical slab”) preparations in vitro, enabling the use of many sophisticated techniques for monitoring activity in parallel.
I thus set out to utilize the advantages of our model system, by using optogenetic methods to reliably evoke oscillations in an ex vivo whole-cortex preparation while observing activity in parallel with planar multi-electrode arrays (MEA), linear silicon depth-electrodes and patch-clamp recording techniques. This required several technical aspects to be solved. Prior work in turtle cortex (Prechtl, 1994; Prechtl et al., 1997; Senseman and Robbins, 2002) indicated that visual stimuli evoke complex activity patterns (e. g. wave patterns) in dorsal cortex. The goal was to examine these dynamics in detail and to provide mechanistic explanations for them whenever possible. The recent advent of optogenetics, the development of microelectrode arrays, and the possibility to combine these techniques with classical electrophysiological approaches on a resistant, accessible and stable preparation led me to explore a number of technical avenues.
First I had to establish gene delivery methods in reptiles. I settled on recombinant viruses, and show results from several serotypes of adeno-associated virus (AAV), i lentivirus and rabies virus. I report successful gene expression of genes of interest with several subtypes of AAV, including the commonly used AAV2/1 and AAV2/5 serotypes. Second I had to find promoters enabling global and cell-type specific gene expression in reptiles. Ubiquitous high-yield promoters such as CAG/CB7 or CMV drive high levels of expression in turtles; cell-type specific promoters such as hSyn (expression limited to neurons) and CaMKIIa (expression limited exclusively o mostly to excitatory neurons) appear similarly biased in turtles. Other cell-type specific promoters reported in the literature (fNPY, fPV, fSST) failed to express in turtles.
A second major aspect of my work focused on electrophysiological recordings using microelectrode arrays and the interpretation of extracellular signals recorded from cortex in ex vivo preparations. We observed that spike signals produced by pyramidal and inhibitory neurons were very often followed by a slower potential. We identified these slower potentials as reflections of synaptic currents, and thus of the axonal projections of the neurons, at least within the deep layers of cortex. This also resulted in a means to classify neurons as excitatory or inhibitory with much higher reliability than classical methods (e. g. spike width). The final aspect of my work concerns the use of optogenetics to dissect the mechanisms of cortical oscillations and wave propagation. I show that oscillations can be induced by light in turtle cortex after transfection with AAV2/1 carrying the gene for channelrhodopsin 2 (ChR2). By using the CaMKIIa promoter, ChR2 induced currents are limited to LII/III excitatory cells; we can therefore control excitatory drive to cortical networks. If this drive is strong enough, layer III inhibitory interneurons are recruited and fire in a concerted fashion, silencing the excitatory population. The visually evoked 20 Hz oscillations observed in chronically recorded animals (Schneider, 2015) or in anaesthetized animals (Fournier et al., in press) thus appear to result from a feedback loop between E and I cells within layers II & III. Details of these interactions are being investigated but - layer I interneurons, by contrast, do not seem to be involved. By pulsing light I could control the frequency of the oscillations within a range of several Hz around the natural oscillation frequency. Above this range, cortex could only follow the stimulus at a fraction (1/2, 1/3,...) of the light pulse frequency. Using a digital micromirror device, I limited activation of the cortical networks spatially, enabling the study of wave propagation in this system.
Reptilian cortex offers a relatively simple model system for a reductionist and comparative strategy on understanding cortical computations and dynamics. Turtle dorsal cortex could thus give fundamental insights to the primordial organization tional, computational and functional principles of cortical networks. These insights are relevant to our understanding of mammalian brains and may prove valuable to decipher fundamental questions of modern neuroscience.
Colorectal cancer (CRC) has the third highest incidence and the fourth highest mortality rate worldwide and represents a substantial health care burden and affects the life of millions of people. CRC is a genetic disease caused by the stepwise accumulation of genetic alterations. The initiating event in colorectal carcinogenesis is the aberrant activation of the WNT pathway, but other pathways are also commonly deregulated, including the PI3K/AKT pathway. A number of previous studies using genetically engineered mouse models aimed at dissecting the exact role of PI3K/AKT pathway in CRC, but have yielded in rather conflicting results. Despite the inconsistent results, these studies already put forward the idea that PI3K/AKT signaling in combination with other genetic events might substantially contribute to tumor progression. Since the PI3K/AKT pathway is frequently activated in CRC, it represents an ideal candidate for therapeutic intervention. Although extensive efforts had led to the development of numerous inhibitors targeting the PI3K/AKT pathway, the diversity of genetic alterations can challenge the identification of the most effective therapeutic targets. Therefore, the discovery of shared tumor-promoting mechanisms downstream of these genetic alterations might unravel new biomarkers and druggable targets. The aim of this study was to elucidate the precise role of PI3K/AKT pathway during the course of colorectal carcinogenesis and to decipher novel protumorigenic molecular mechanisms downstream of PI3K/AKT activation that can be used for therapeutic intervention.
To obtain a better insight into the role of the PI3K/AKT pathway during colorectal carcinogenesis, mice expressing an oncogenic variant of AKT1 (AktE17K) specifically in the intestinal epithelial cells (IEC) were used. At the age of 6 months untreated AktE17K mice showed clearly perturbed intestinal homeostasis, but no tumor formation. To induce colonic tumorigenesis, AktE17K mice were subjected to treatment with the colonic carcinogen azoxymethane (AOM). In response to AOM, AktE17K mice developed invasive but non-metastatic tumors, which showed strong nuclear accumulation of TP53. To investigate the role of PI3K/AKT signaling specifically in CRC progression, AktE17K mice were crossed to TP53-deficient mice (Tp53ΔIEC). Unlike AktE17K mice, untreated Tp53ΔIEC; AktE17K, developed highly invasive small
intestinal tumors by the age of 6 months. To investigate the role of AKT hyperactivation in colonic tumor progression, Tp53ΔIEC; AktE17K mice were subjected to AOM treatment. AKT hyperactivation significantly enhanced tumor progression and induced metastatic dissemination.
To get a better insight how AKT signaling can promote tumor progression, whole tumor tissues from AOM-treated Tp53ΔIEC and Tp53ΔIEC; AktE17K mice were subjected to next generation mRNA sequencing and phospho-proteomic analysis by mass spectrometry. Both analyses indicated that AKT hyperactivation expands the inflammatory tumor microenvironment and upregulates pathways associated with invasion and metastasis. Importantly, Gene Set Enrichment Analysis revealed that AOM-induced colon tumors of Tp53ΔIEC; AktE17K animals, are highly similar in their gene expression profile to the CMS4 subtype of human CRC, which is associated with worse overall- and relapse-free survival. Gene expression analysis also suggested elevated NOTCH signaling in the Tp53ΔIEC; AktE17K tumors. Interestingly, while the expression of Notch3 mRNA was increased in the tumors of Tp53ΔIEC; AktE17K mice, the expression of the other NOTCH receptors was unaffected by AKT hyperactivation. In vitro experiments using TP53-deficient mouse tumor organoids with hyperactive AKT signaling confirmed the direct, tumor cell-intrinsic link between AKT activation and increased Notch3 expression. Moreover, inhibition of EZH2 mimicked the effect of AKT hyperactivation on Notch3 expression, suggesting that AKT regulates Notch3 via an epigenetic mechanism.
Knock-down of Notch3 in TP53-deficient mouse tumor organoids with hyperactive AKT signaling resulted in differential regulation of several pathways with potential role in invasion and metastasis and in cell death and survival. Subsequent in vivo experiments confirmed the role of NOTCH3 signaling in CRC progression. Treatment of AOM-induced Tp53ΔIEC; AktE17K mice with a NOTCH3 antagonistic antibody or the γ-secretase inhibitor DAPT significantly reduced invasion and metastasis. Importantly, NOTCH3 expression was also found to be associated with human CRC progression, suggesting that NOTCH3 represent a valid target for the treatment of CRC. This work, using genetically engineered mouse models and advanced in vitro techniques, has demonstrated a strong tumor promoting role for PI3K/AKT signaling in CRC progression and has identified NOTCH3 signaling as a potential therapeutic target downstream of the PI3K/AKT pathway.
Fatty acids (FAs) are considered strategically important platform compounds that can be accessed by sustainable microbial approaches. Here we report the reprogramming of chain-length control of Saccharomyces cerevisiae fatty acid synthase (FAS). Aiming for short-chain FAs (SCFAs) producing baker’s yeast, we perform a highly rational and minimally invasive protein engineering approach that leaves the molecular mechanisms of FASs unchanged. Finally, we identify five mutations that can turn baker’s yeast into a SCFA producing system. Without any further pathway engineering, we achieve yields in extracellular concentrations of SCFAs, mainly hexanoic acid (C6-FA) and octanoic acid (C8-FA), of 464 mg l−1 in total. Furthermore, we succeed in the specific production of C6- or C8-FA in extracellular concentrations of 72 and 245 mg l−1, respectively. The presented technology is applicable far beyond baker’s yeast, and can be plugged into essentially all currently available FA overproducing microorganisms.
Neurogenesis of hippocampal granule cells (GCs) persists throughout mammalian life and is important for learning and memory. How newborn GCs differentiate and mature into an existing circuit during this time period is not yet fully understood. We established a method to visualize postnatally generated GCs in organotypic entorhino-hippocampal slice cultures (OTCs) using retroviral (RV) GFP-labeling and performed time-lapse imaging to study their morphological development in vitro. Using anterograde tracing we could, furthermore, demonstrate that the postnatally generated GCs in OTCs, similar to adult born GCs, grow into an existing entorhino-dentate circuitry. RV-labeled GCs were identified and individual cells were followed for up to four weeks post injection. Postnatally born GCs exhibited highly dynamic structural changes, including dendritic growth spurts but also retraction of dendrites and phases of dendritic stabilization. In contrast, older, presumably prenatally born GCs labeled with an adeno-associated virus (AAV), were far less dynamic. We propose that the high degree of structural flexibility seen in our preparations is necessary for the integration of newborn granule cells into an already existing neuronal circuit of the dentate gyrus in which they have to compete for entorhinal input with cells generated and integrated earlier.
Three-dimensional multicellular aggregates such as spheroids provide reliable in vitro substitutes for tissues. Quantitative characterization of spheroids at the cellular level is fundamental. We present the first pipeline that provides three-dimensional, high-quality images of intact spheroids at cellular resolution and a comprehensive image analysis that completes traditional image segmentation by algorithms from other fields. The pipeline combines light sheet-based fluorescence microscopy of optically cleared spheroids with automated nuclei segmentation (F score: 0.88) and concepts from graph analysis and computational topology. Incorporating cell graphs and alpha shapes provided more than 30 features of individual nuclei, the cellular neighborhood and the spheroid morphology. The application of our pipeline to a set of breast carcinoma spheroids revealed two concentric layers of different cell density for more than 30,000 cells. The thickness of the outer cell layer depends on a spheroid’s size and varies between 50% and 75% of its radius. In differently-sized spheroids, we detected patches of different cell densities ranging from 5 × 105 to 1 × 106 cells/mm3. Since cell density affects cell behavior in tissues, structural heterogeneities need to be incorporated into existing models. Our image analysis pipeline provides a multiscale approach to obtain the relevant data for a system-level understanding of tissue architecture.
Colorectal cancer (CRC) has the third highest incidence and the fourth highest mortality rate worldwide and represents a substantial health care burden and affects the life of millions of people. CRC is a genetic disease caused by the stepwise accumulation of genetic alterations. The initiating event in colorectal carcinogenesis is the aberrant activation of the WNT pathway, but other pathways are also commonly deregulated, including the PI3K/AKT pathway. A number of previous studies using genetically engineered mouse models aimed at dissecting the exact role of PI3K/AKT pathway in CRC, but have yielded in rather conflicting results. Despite the inconsistent results, these studies already put forward the idea that PI3K/AKT signaling in combination with other genetic events might substantially contribute to tumor progression.
Since the PI3K/AKT pathway is frequently activated in CRC, it represents an ideal candidate for therapeutic intervention. Although extensive efforts had led to the development of numerous inhibitors targeting the PI3K/AKT pathway, the diversity of genetic alterations can challenge the identification of the most effective therapeutic targets. Therefore, the discovery of shared tumor-promoting mechanisms downstream of these genetic alterations might unravel new biomarkers and druggable targets. The aim of this study was to elucidate the precise role of PI3K/AKT pathway during the course of colorectal carcinogenesis and to decipher novel pro-tumorigenic molecular mechanisms downstream of PI3K/AKT activation that can be used for therapeutic intervention.
To obtain a better insight into the role of the PI3K/AKT pathway during colorectal carcinogenesis, mice expressing an oncogenic variant of AKT1 (AktE17K) specifically in the intestinal epithelial cells (IEC) were used. At the age of 6 months untreated AktE17K mice showed clearly perturbed intestinal homeostasis, but no tumor formation. To induce colonic tumorigenesis, AktE17K mice were subjected to treatment with the colonic carcinogen azoxymethane (AOM). In response to AOM, AktE17K mice developed invasive but nonmetastatic tumors, which showed strong nuclear accumulation of TP53. To investigate the role of PI3K/AKT signaling specifically in CRC progression, AktE17K mice were crossed to TP53- deficient mice (Tp53ΔIEC). Unlike AktE17K mice, untreated Tp53ΔIECAktE17K, developed highly invasive small intestinal tumors by the age of 6 months. To investigate the role of AKT hyperactivation in colonic tumor progression, Tp53ΔIECAktE17K mice were subjected to AOM treatment. AKT hyperactivation significantly enhanced tumor progression and induced metastatic dissemination.
To get a better insight how AKT signaling can promote tumor progression, whole tumor tissues from AOM-treated Tp53ΔIEC and Tp53ΔIECAktE17K mice were subjected to next generation mRNA sequencing and phospho-proteomic analysis by mass spectrometry. Both analyses indicated that AKT hyperactivation expands the inflammatory tumor microenvironment and upregulates pathways associated with invasion and metastasis. Importantly, Gene Set Enrichment Analysis revealed that AOM-induced colon tumors of Tp53ΔIECAktE17K animals, are highly similar in their gene expression profile to the CMS4 subtype of human CRC, which is associated with worse overall- and relapse-free survival7 . Gene expression analysis also suggested elevated NOTCH signaling in the Tp53ΔIECAktE17K tumors. Interestingly, while the expression of Notch3 mRNA was increased in the tumors of Tp53ΔIECAktE17K mice, the expression of the other NOTCH receptors was unaffected by AKT hyperactivation. In vitro experiments using TP53-deficient mouse tumor organoids with hyperactive AKT signaling confirmed the direct, tumor cell-intrinsic link between AKT activation and increased Notch3 expression. Moreover, inhibition of EZH2 mimicked the effect of AKT hyperactivation on Notch3 expression, suggesting that AKT regulates Notch3 via an epigenetic mechanism.
Knock-down of Notch3 in TP53-deficient mouse tumor organoids with hyperactive AKT signaling resulted in differential regulation of several pathways with potential role in invasion and metastasis and in cell death and survival. Subsequent in vivo experiments confirmed the role of NOTCH3 signaling in CRC progression. Treatment of AOM-induced Tp53ΔIECAkt E17K mice with a NOTCH3 antagonistic antibody or the γ-secretase inhibitor DAPT significantly reduced invasion and metastasis. Importantly, NOTCH3 expression was also found to be associated with human CRC progression, suggesting that NOTCH3 represent a valid target for the treatment of CRC. This work, using genetically engineered mouse models and advanced in vitro techniques, has demonstrated a strong tumor promoting role for PI3K/AKT signaling in CRC progression and has identified NOTCH3 signaling as a potential therapeutic target downstream of the PI3K/AKT pathway.
The human brain is one of the most complex biological systems. More than 100 billion neurons build networks that control basic body functions and highly coordinated movements, enable us to express emotions, feelings and thoughts and to store memories over years and even throughout life time. Ultimately, “We are who we are because of what we learn and what we remember” (Kandel 2006). Under pathological conditions, the brain function is challenged. Most if not all neurological diseases have in common that they are either triggered and/or accompanied by inflammatory processes of brain tissue, referred to as neuroinflammation. Such inflammatory processes directly affect an elementary neural mechanism relevant for learning and memory: synaptic plasticity. Indeed, neurons are highly dynamic structures and able to respond to specific stimuli with morphological, functional and molecular adaptations that modify the strength and number of neuronal contact sides (synapses). Hence, the main motivation of this thesis was to identify the neural targets through which inflammation affects brain function and synaptic plasticity in particular. The principles of synaptic plasticity have been studied intensively in the hippocampus, an anatomical structure localized within the temporal lobes that is essential for the consolidation of memories and spatial navigation. Synaptic plasticity is coordinated by complex interactions of thousands of molecules and proteins. Among those proteins, synaptopodin (SP) is localized at a strategic position within excitatory synapses and has been shown to be fundamentally involved in the regulation of synaptic plasticity.
To induce neuroinflammation and to study its effects on SP as well as synaptic plasticity, the classic model of lipopolysaccharide (LPS) was applied. This thesis discloses that inflammatory processes impair the ability of neurons to express hippocampal synaptic plasticity in vivo, which is accompanied by a downregulation of SP-mRNA and protein level in the mouse hippocampus, indicating that SP is one of the cellular targets through which inflammatory signaling pathways affect synaptic plasticity and hence neural function. To learn more about the cellular and molecular mechanisms, an in vitro LPS model was established using entorhino-hippocampal organotypic slice cultures (OTCs).
While confirming the major effect of LPS on SP, this thesis furthermore shows that neuroinflammation crucially involves the cytokine TNFα to transduce its effects on SP, and that microglial cells are the main source of TNFα production under inflammatory conditions. In an attempt to learn more about the mechanisms that are affected under conditions of neuroinflammation effects of retinoic acid (RA), a vitamin A derivate were tested. This is mainly because SP as well as RA have been shown to modulate synaptic plasticity through the accumulation of glutamate receptors at the postsynaptic site: SP via the association with the actincytoskeleton as well as intracellular calcium stores, and RA directly via the modulation of local protein synthesis within dendrites. Indeed, in slice cultures exposed to RA, hippocampal SP cluster size is upregulated, both in vitro and in vivo. Intriguingly, a lack of SP prevents RA-induced synaptic strengthening of hippocampal dentate granule cells in OTCs. This suggests a direct contribution of SP in RA-dependent synaptic plasticity. Interestingly, co-immunoprecipitation of SP-mRNA together with the RA-receptor alpha (RARα) further implies that RA directly controls synaptic plasticity via regulation of SP-protein expression. It is therefore interesting to speculate that RA may increase SP expression or prevent its reduction and thus alterations in synaptic plasticity under conditions of neuroinflammation. Taken together, this thesis identifies SP as an important neuronal target of TNFα-mediated alterations in synaptic plasticity. Moreover, the work on RA indicates that SP affects the ability of neurons to express synaptic plasticity by modulating/mediating local protein synthesis. Since neuroinflammatory processes are an elementary concomitant feature and/or cause of neurological diseases, I am confident that future work on the effects of inflammatory processes on brain function may provide the perspective in devising new therapeutic strategies for the treatment of neuropathologies such as Alzheimer’s disease, multiple sclerosis, epilepsy or stroke, by targeting SP expression and SP-mediated synaptic plasticity.
Compartmental models are the theoretical tool of choice for understanding single neuron computations. However, many models are incomplete, built ad hoc and require tuning for each novel condition rendering them of limited usability. Here, we present T2N, a powerful interface to control NEURON with Matlab and TREES toolbox, which supports generating models stable over a broad range of reconstructed and synthetic morphologies. We illustrate this for a novel, highly detailed active model of dentate granule cells (GCs) replicating a wide palette of experiments from various labs. By implementing known differences in ion channel composition and morphology, our model reproduces data from mouse or rat, mature or adult-born GCs as well as pharmacological interventions and epileptic conditions. This work sets a new benchmark for detailed compartmental modeling. T2N is suitable for creating robust models useful for large-scale networks that could lead to novel predictions. We discuss possible T2N application in degeneracy studies.
Echolocation allows bats to orientate in darkness without using visual information. Bats emit spatially directed high frequency calls and infer spatial information from echoes coming from call reflections in objects (Simmons 2012; Moss and Surlykke 2001, 2010). The echoes provide momentary snapshots, which have to be integrated to create an acoustic image of the surroundings. The spatial resolution of the computed image increases with the quantity of received echoes. Thus, a high call rate is required for a detailed representation of the surroundings.
One important parameter that the bats extract from the echoes is an object’s distance. The distance is inferred from the echo delay, which represents the duration between call emission and echo arrival (Kössl et al. 2014). The echo delay decreases with decreasing distance and delay-tuned neurons have been characterized in the ascending auditory pathway, which runs from the inferior colliculus (Wenstrup et al. 2012; Macías et al. 2016; Wenstrup and Portfors 2011; Dear and Suga 1995) to the auditory cortex (Hagemann et al. 2010; Suga and O'Neill 1979; O'Neill and Suga 1982).
Electrophysiological studies usually characterize neuronal processing by using artificial and simplified versions of the echolocation signals as stimuli (Hagemann et al. 2010; Hagemann et al. 2011; Hechavarría and Kössl 2014; Hechavarría et al. 2013). The high controllability of artificial stimuli simplifies the inference of the neuronal mechanisms underlying distance processing. But, it remains largely unexplored how the neurons process delay information from echolocation sequences. The main purpose of the thesis is to investigate how natural echolocation sequences are processed in the brain of the bat Carollia perspicillata. Bats actively control the sensory information that it gathers during echolocation. This allows experimenters to easily identify and record the acoustic stimuli that are behaviorally relevant for orientation. For recording echolocation sequences, a bat was placed in the mass of a swinging pendulum (Kobler et al. 1985; Beetz et al. 2016b). During the swing the bat emitted echolocation calls that were reflected in surrounding objects. An ultrasound sensitive microphone traveling with the bat and positioned above the bat’s head recorded the echolocation sequence. The echolocation sequence carried delay information of an approach flight and was used as stimulus for neuronal recordings from the auditory cortex and inferior colliculus of the bats.
Presentation of high stimulus rates to other species, such as rats, guinea pigs, suppresses cortical neuron activity (Wehr and Zador 2005; Creutzfeldt et al. 1980). Therefore, I tested if neurons of bats are suppressed when they are stimulated with high acoustic rates represented in echolocation sequences (sequence situation). Additionally, the bats were stimulated with randomized call echo elements of the sequence and an interstimulus time interval of 400 ms (element situation). To quantify neuronal suppression induced by the sequence, I compared the response pattern to the sequence situation with the concatenated response patterns to the element situation. Surprisingly, although the bats should be adapted for processing high acoustic rates, their cortical neurons are vastly suppressed in the sequence situation (Beetz et al. 2016b). However, instead of being completely suppressed during the sequence situation, the neurons partially recover from suppression at a unit specific call echo element. Multi-electrode recordings from the cortex allow assessment of the representation of echo delays along the cortical surface. At the cortical level, delay-tuned neurons are topographically organized. Cortical suppression improves sharpness of neuronal tuning and decreases the blurriness of the topographic map. With neuronal recordings from the inferior colliculus, I tested whether the echolocation sequence also induced neuronal suppression at subcortical level. The sequence induced suppression was weaker in the inferior colliculus than in the cortex. The collicular response makes the neurons able to track the acoustic events in the echolocation sequence. Collicular suppression mainly improves the signal-to-noise ratio. In conclusion, the results demonstrate that cortical suppression is not necessarily a shortcoming for temporal processing of rapidly occurring stimuli as it has previously been interpreted.
Natural environments are usually composed of multiple objects. Thus, each echolocation call reflects off multiple objects resulting in multiple echoes following the calls. At present, it is largely unexplored how neurons process echolocation sequences containing echo information from more than one object (multi-object sequences). Therefore, I stimulated bats with a multi-object sequence which contained echo information from three objects. The objects were different distances away from each other. I tested the influence of each object on the neuronal tuning by stimulating the bats with different sequences created from filtering object specific echoes from the multi-object sequence. The cortex most reliably processes echo information from the nearest object whereas echo information from distant objects is not processed due to neuronal suppression. Collicular neurons process less selectively echo information from certain objects and respond to each echo.
For proper echolocation, bats have to distinguish between own biosonar signals and the signals coming from conspecifics. This can be quite challenging when many bats echolocate adjacent to each other. In behavioral experiments, the echolocation performance of C. perspicillata was tested in the presence of potentially interfering sounds. In the presence of acoustic noise, the bats increase the sensory acquisition rate which may increase the update rate of sensory processing. Neuronal recordings from the auditory cortex and inferior colliculus could strengthen the hypothesis. Although there were signs of acoustic interference or jamming at neuronal level, the neurons were not completely suppressed and responded to the rest of the echolocation sequence.