@misc{21442, author = {Schlögl, Alois}, keywords = {hypocampus, ca3 simulations, modelling}, publisher = {Institute of Science and Technology Austria}, title = {{CA3Simu v1.06 (vargas2026v1)}}, doi = {10.15479/AT-ISTA-21442}, year = {2026}, } @unpublished{21920, abstract = {Vertebrates display remarkable diversity of sensorimotor behaviors, each adapted to distinct ecological and survival demands. This diversity raises fundamental questions about the evolutionary origin of motor control: do conserved spinal circuits underlie these behaviors, and how have they diverged across species. Recent studies detail spinal cell-type architecture in mammals but comparable, high-resolution atlases of the non-mammalian spinal cord are lacking. Here, we compare spinal cord cell types between fish, frogs, mice and humans, spanning ∼450 million years of evolution. Across species, we define highly conserved programs of cell type specification that segregate spinal neurons into nearly identical cardinal classes during development. This contrasts with adult stages, when spinal cell-type composition selectively diverges for excitatory neuron subpopulations. Using spatial transcriptomics, we localize this species divergence to the superficial, dorsal spinal cord, where variant neuropeptide expression defines mammalian-specific cell types. The most dorsal spinal cord thus emerges as a recently evolved hub for sensory integration in mammals, a neospinal cord analogous to the neocortex.}, author = {Ignatyev, Yuri and Papadopoulos, Stavros and Soretić, Mateja and Yeung, Jake and Lin, Tzi-Yang and Tanaka, Elly M and Peshkin, Leonid and Levine, Ariel J and Gabitto, Mariano I and Sweeney, Lora Beatrice Jaeger}, booktitle = {bioRxiv}, title = {{Innovations in spinal cord cell type heterogeneity across vertebrate evolution}}, doi = {10.1101/2025.10.09.680955}, year = {2025}, } @article{14979, abstract = {Poxviruses are among the largest double-stranded DNA viruses, with members such as variola virus, monkeypox virus and the vaccination strain vaccinia virus (VACV). Knowledge about the structural proteins that form the viral core has remained sparse. While major core proteins have been annotated via indirect experimental evidence, their structures have remained elusive and they could not be assigned to individual core features. Hence, which proteins constitute which layers of the core, such as the palisade layer and the inner core wall, has remained enigmatic. Here we show, using a multi-modal cryo-electron microscopy (cryo-EM) approach in combination with AlphaFold molecular modeling, that trimers formed by the cleavage product of VACV protein A10 are the key component of the palisade layer. This allows us to place previously obtained descriptions of protein interactions within the core wall into perspective and to provide a detailed model of poxvirus core architecture. Importantly, we show that interactions within A10 trimers are likely generalizable over members of orthopox- and parapoxviruses.}, author = {Datler, Julia and Hansen, Jesse and Thader, Andreas and Schlögl, Alois and Bauer, Lukas W and Hodirnau, Victor-Valentin and Schur, Florian KM}, issn = {1545-9985}, journal = {Nature Structural & Molecular Biology}, keywords = {Molecular Biology, Structural Biology}, pages = {1114--1123}, publisher = {Springer Nature}, title = {{Multi-modal cryo-EM reveals trimers of protein A10 to form the palisade layer in poxvirus cores}}, doi = {10.1038/s41594-023-01201-6}, volume = {31}, year = {2024}, } @inproceedings{17139, author = {Schlögl, Alois and Khalid, Waleed and Elefante, Stefano and Stadlbauer, Stephan}, booktitle = {ASHPC24 - Austrian-Slovenian HPC Meeting 2024}, isbn = {9783200096455}, location = {Grundlsee, Austria}, pages = {46}, publisher = {EuroCC Austria}, title = {{How much memory per CPU core is requested?}}, doi = {10.25365/phaidra.463}, year = {2024}, } @article{12106, abstract = {Regulation of chromatin states involves the dynamic interplay between different histone modifications to control gene expression. Recent advances have enabled mapping of histone marks in single cells, but most methods are constrained to profile only one histone mark per cell. Here, we present an integrated experimental and computational framework, scChIX-seq (single-cell chromatin immunocleavage and unmixing sequencing), to map several histone marks in single cells. scChIX-seq multiplexes two histone marks together in single cells, then computationally deconvolves the signal using training data from respective histone mark profiles. This framework learns the cell-type-specific correlation structure between histone marks, and therefore does not require a priori assumptions of their genomic distributions. Using scChIX-seq, we demonstrate multimodal analysis of histone marks in single cells across a range of mark combinations. Modeling dynamics of in vitro macrophage differentiation enables integrated analysis of chromatin velocity. Overall, scChIX-seq unlocks systematic interrogation of the interplay between histone modifications in single cells.}, author = {Yeung, Jake and Florescu, Maria and Zeller, Peter and De Barbanson, Buys Anton and Wellenstein, Max D. and Van Oudenaarden, Alexander}, issn = {1546-1696}, journal = {Nature Biotechnology}, pages = {813–823}, publisher = {Springer Nature}, title = {{scChIX-seq infers dynamic relationships between histone modifications in single cells}}, doi = {10.1038/s41587-022-01560-3}, volume = {41}, year = {2023}, } @article{12158, abstract = {Post-translational histone modifications modulate chromatin activity to affect gene expression. How chromatin states underlie lineage choice in single cells is relatively unexplored. We develop sort-assisted single-cell chromatin immunocleavage (sortChIC) and map active (H3K4me1 and H3K4me3) and repressive (H3K27me3 and H3K9me3) histone modifications in the mouse bone marrow. During differentiation, hematopoietic stem and progenitor cells (HSPCs) acquire active chromatin states mediated by cell-type-specifying transcription factors, which are unique for each lineage. By contrast, most alterations in repressive marks during differentiation occur independent of the final cell type. Chromatin trajectory analysis shows that lineage choice at the chromatin level occurs at the progenitor stage. Joint profiling of H3K4me1 and H3K9me3 demonstrates that cell types within the myeloid lineage have distinct active chromatin but share similar myeloid-specific heterochromatin states. This implies a hierarchical regulation of chromatin during hematopoiesis: heterochromatin dynamics distinguish differentiation trajectories and lineages, while euchromatin dynamics reflect cell types within lineages.}, author = {Zeller, Peter and Yeung, Jake and Viñas Gaza, Helena and de Barbanson, Buys Anton and Bhardwaj, Vivek and Florescu, Maria and van der Linden, Reinier and van Oudenaarden, Alexander}, issn = {1546-1718}, journal = {Nature Genetics}, keywords = {Genetics}, pages = {333--345}, publisher = {Springer Nature}, title = {{Single-cell sortChIC identifies hierarchical chromatin dynamics during hematopoiesis}}, doi = {10.1038/s41588-022-01260-3}, volume = {55}, year = {2023}, } @inproceedings{13161, author = {Schlögl, Alois and Elefante, Stefano and Hodirnau, Victor-Valentin}, booktitle = {ASHPC23 - Austrian-Slovenian HPC Meeting 2023}, location = {Maribor, Slovenia}, pages = {59--59}, publisher = {EuroCC}, title = {{Running Windows-applications on a Linux HPC cluster using WINE}}, year = {2023}, } @inproceedings{13162, author = {Elefante, Stefano and Stadlbauer, Stephan and Alexander, Michael F and Schlögl, Alois}, booktitle = {ASHPC23 - Austrian-Slovenian HPC Meeting 2023}, location = {Maribor, Slovenia}, pages = {42--42}, publisher = {EuroCC}, title = {{Cryo-EM software packages: A sys-admins point of view}}, year = {2023}, } @article{14449, abstract = {The rapid development of machine learning (ML) techniques has opened up the data-dense field of microbiome research for novel therapeutic, diagnostic, and prognostic applications targeting a wide range of disorders, which could substantially improve healthcare practices in the era of precision medicine. However, several challenges must be addressed to exploit the benefits of ML in this field fully. In particular, there is a need to establish “gold standard” protocols for conducting ML analysis experiments and improve interactions between microbiome researchers and ML experts. The Machine Learning Techniques in Human Microbiome Studies (ML4Microbiome) COST Action CA18131 is a European network established in 2019 to promote collaboration between discovery-oriented microbiome researchers and data-driven ML experts to optimize and standardize ML approaches for microbiome analysis. This perspective paper presents the key achievements of ML4Microbiome, which include identifying predictive and discriminatory ‘omics’ features, improving repeatability and comparability, developing automation procedures, and defining priority areas for the novel development of ML methods targeting the microbiome. The insights gained from ML4Microbiome will help to maximize the potential of ML in microbiome research and pave the way for new and improved healthcare practices.}, author = {D’Elia, Domenica and Truu, Jaak and Lahti, Leo and Berland, Magali and Papoutsoglou, Georgios and Ceci, Michelangelo and Zomer, Aldert and Lopes, Marta B. and Ibrahimi, Eliana and Gruca, Aleksandra and Nechyporenko, Alina and Frohme, Marcus and Klammsteiner, Thomas and Pau, Enrique Carrillo De Santa and Marcos-Zambrano, Laura Judith and Hron, Karel and Pio, Gianvito and Simeon, Andrea and Suharoschi, Ramona and Moreno-Indias, Isabel and Temko, Andriy and Nedyalkova, Miroslava and Apostol, Elena Simona and Truică, Ciprian Octavian and Shigdel, Rajesh and Telalović, Jasminka Hasić and Bongcam-Rudloff, Erik and Przymus, Piotr and Jordamović, Naida Babić and Falquet, Laurent and Tarazona, Sonia and Sampri, Alexia and Isola, Gaetano and Pérez-Serrano, David and Trajkovik, Vladimir and Klucar, Lubos and Loncar-Turukalo, Tatjana and Havulinna, Aki S. and Jansen, Christian and Bertelsen, Randi J. and Claesson, Marcus Joakim}, issn = {1664-302X}, journal = {Frontiers in Microbiology}, publisher = {Frontiers}, title = {{Advancing microbiome research with machine learning: Key findings from the ML4Microbiome COST action}}, doi = {10.3389/fmicb.2023.1257002}, volume = {14}, year = {2023}, } @inproceedings{12894, author = {Schlögl, Alois and Hornoiu, Andrei and Elefante, Stefano and Stadlbauer, Stephan}, booktitle = {ASHPC22 - Austrian-Slovenian HPC Meeting 2022}, isbn = {978-3-200-08499-5}, location = {Grundlsee, Austria}, pages = {7}, publisher = {EuroCC Austria c/o Universität Wien}, title = {{Where is the sweet spot? A procurement story of general purpose compute nodes}}, doi = {10.25365/phaidra.337}, year = {2022}, } @inproceedings{12909, author = {Schlögl, Alois and Elefante, Stefano and Hornoiu, Andrei and Stadlbauer, Stephan}, booktitle = {ASHPC21 – Austrian-Slovenian HPC Meeting 2021}, isbn = {978-961-6980-77-7}, location = {Virtual}, pages = {5}, publisher = {University of Ljubljana}, title = {{Managing software on a heterogenous HPC cluster}}, doi = {10.3359/2021hpc}, year = {2021}, } @article{15285, abstract = {Ever since the first publication of the standard communication protocol for computer-assisted electrocardiography (SCP-ECG), prENV 1064, in 1993, by the European Committee for Standardization (CEN), SCP-ECG has become a leading example in health informatics, enabling open, secure, and well-documented digital data exchange at a low cost, for quick and efficient cardiovascular disease detection and management. Based on the experiences gained, since the 1970s, in computerized electrocardiology, and on the results achieved by the pioneering, international cooperative research on common standards for quantitative electrocardiography (CSE), SCP-ECG was designed, from the beginning, to empower personalized medicine, thanks to serial ECG analysis. The fundamental concept behind SCP-ECG is to convey the necessary information for ECG re-analysis, serial comparison, and interpretation, and to structure the ECG data and metadata in sections that are mostly optional in order to fit all use cases. SCP-ECG is open to the storage of the ECG signal and ECG measurement data, whatever the ECG recording modality or computation method, and can store the over-reading trails and ECG annotations, as well as any computerized or medical interpretation reports. Only the encoding syntax and the semantics of the ECG descriptors and of the diagnosis codes are standardized. We present all of the landmarks in the development and publication of SCP-ECG, from the early 1990s to the 2009 International Organization for Standardization (ISO) SCP-ECG standards, including the latest version published by CEN in 2020, which now encompasses rest and stress ECGs, Holter recordings, and protocol-based trials.}, author = {Rubel, Paul and Fayn, Jocelyne and Macfarlane, Peter W. and Pani, Danilo and Schlögl, Alois and Värri, Alpo}, issn = {2673-3846}, journal = {Hearts}, keywords = {General Medicine}, number = {3}, pages = {384--409}, publisher = {MDPI}, title = {{The history and challenges of SCP-ECG: The standard communication protocol for computer-assisted electrocardiography}}, doi = {10.3390/hearts2030031}, volume = {2}, year = {2021}, } @article{9329, abstract = {Background: To understand information coding in single neurons, it is necessary to analyze subthreshold synaptic events, action potentials (APs), and their interrelation in different behavioral states. However, detecting excitatory postsynaptic potentials (EPSPs) or currents (EPSCs) in behaving animals remains challenging, because of unfavorable signal-to-noise ratio, high frequency, fluctuating amplitude, and variable time course of synaptic events. New method: We developed a method for synaptic event detection, termed MOD (Machine-learning Optimal-filtering Detection-procedure), which combines concepts of supervised machine learning and optimal Wiener filtering. Experts were asked to manually score short epochs of data. The algorithm was trained to obtain the optimal filter coefficients of a Wiener filter and the optimal detection threshold. Scored and unscored data were then processed with the optimal filter, and events were detected as peaks above threshold. Results: We challenged MOD with EPSP traces in vivo in mice during spatial navigation and EPSC traces in vitro in slices under conditions of enhanced transmitter release. The area under the curve (AUC) of the receiver operating characteristics (ROC) curve was, on average, 0.894 for in vivo and 0.969 for in vitro data sets, indicating high detection accuracy and efficiency. Comparison with existing methods: When benchmarked using a (1 − AUC)−1 metric, MOD outperformed previous methods (template-fit, deconvolution, and Bayesian methods) by an average factor of 3.13 for in vivo data sets, but showed comparable (template-fit, deconvolution) or higher (Bayesian) computational efficacy. Conclusions: MOD may become an important new tool for large-scale, real-time analysis of synaptic activity.}, author = {Zhang, Xiaomin and Schlögl, Alois and Vandael, David H and Jonas, Peter M}, issn = {1872-678X}, journal = {Journal of Neuroscience Methods}, number = {6}, publisher = {Elsevier}, title = {{MOD: A novel machine-learning optimal-filtering method for accurate and efficient detection of subthreshold synaptic events in vivo}}, doi = {10.1016/j.jneumeth.2021.109125}, volume = {357}, year = {2021}, } @misc{10110, abstract = {Pattern separation is a fundamental brain computation that converts small differences in input patterns into large differences in output patterns. Several synaptic mechanisms of pattern separation have been proposed, including code expansion, inhibition and plasticity; however, which of these mechanisms play a role in the entorhinal cortex (EC)–dentate gyrus (DG)–CA3 circuit, a classical pattern separation circuit, remains unclear. Here we show that a biologically realistic, full-scale EC–DG–CA3 circuit model, including granule cells (GCs) and parvalbumin-positive inhibitory interneurons (PV+-INs) in the DG, is an efficient pattern separator. Both external gamma-modulated inhibition and internal lateral inhibition mediated by PV+-INs substantially contributed to pattern separation. Both local connectivity and fast signaling at GC–PV+-IN synapses were important for maximum effectiveness. Similarly, mossy fiber synapses with conditional detonator properties contributed to pattern separation. By contrast, perforant path synapses with Hebbian synaptic plasticity and direct EC–CA3 connection shifted the network towards pattern completion. Our results demonstrate that the specific properties of cells and synapses optimize higher-order computations in biological networks and might be useful to improve the deep learning capabilities of technical networks.}, author = {Guzmán, José and Schlögl, Alois and Espinoza Martinez, Claudia and Zhang, Xiaomin and Suter, Benjamin and Jonas, Peter M}, publisher = {IST Austria}, title = {{How connectivity rules and synaptic properties shape the efficacy of pattern separation in the entorhinal cortex–dentate gyrus–CA3 network}}, doi = {10.15479/AT:ISTA:10110}, year = {2021}, } @article{8261, abstract = {Dentate gyrus granule cells (GCs) connect the entorhinal cortex to the hippocampal CA3 region, but how they process spatial information remains enigmatic. To examine the role of GCs in spatial coding, we measured excitatory postsynaptic potentials (EPSPs) and action potentials (APs) in head-fixed mice running on a linear belt. Intracellular recording from morphologically identified GCs revealed that most cells were active, but activity level varied over a wide range. Whereas only ∼5% of GCs showed spatially tuned spiking, ∼50% received spatially tuned input. Thus, the GC population broadly encodes spatial information, but only a subset relays this information to the CA3 network. Fourier analysis indicated that GCs received conjunctive place-grid-like synaptic input, suggesting code conversion in single neurons. GC firing was correlated with dendritic complexity and intrinsic excitability, but not extrinsic excitatory input or dendritic cable properties. Thus, functional maturation may control input-output transformation and spatial code conversion.}, author = {Zhang, Xiaomin and Schlögl, Alois and Jonas, Peter M}, issn = {0896-6273}, journal = {Neuron}, number = {6}, pages = {1212--1225}, publisher = {Elsevier}, title = {{Selective routing of spatial information flow from input to output in hippocampal granule cells}}, doi = {10.1016/j.neuron.2020.07.006}, volume = {107}, year = {2020}, } @book{7474, abstract = {This booklet is a collection of abstracts presented at the AHPC conference.}, editor = {Schlögl, Alois and Kiss, Janos and Elefante, Stefano}, isbn = {978-3-99078-004-6}, location = {Klosterneuburg, Austria}, pages = {72}, publisher = {IST Austria}, title = {{Austrian High-Performance-Computing meeting (AHPC2020)}}, doi = {10.15479/AT:ISTA:7474}, year = {2020}, } @inproceedings{12901, author = {Schlögl, Alois and Kiss, Janos and Elefante, Stefano}, booktitle = {AHPC19 - Austrian HPC Meeting 2019 }, location = {Grundlsee, Austria}, pages = {25}, publisher = {Institut für Mathematik und wissenschaftliches Rechnen der Universität Graz}, title = {{Is Debian suitable for running an HPC Cluster?}}, year = {2019}, } @inproceedings{12905, author = {Schlögl, Alois and Kiss, Janos}, booktitle = {AHPC17 – Austrian HPC Meeting 2017}, location = {Grundlsee, Austria}, pages = {28}, publisher = {FSP Scientific Computing}, title = {{Scientific Computing at IST Austria}}, year = {2017}, } @inproceedings{630, abstract = {Background: Standards have become available to share semantically encoded vital parameters from medical devices, as required for example by personal healthcare records. Standardised sharing of biosignal data largely remains open. Objectives: The goal of this work is to explore available biosignal file format and data exchange standards and profiles, and to conceptualise end-To-end solutions. Methods: The authors reviewed and discussed available biosignal file format standards with other members of international standards development organisations (SDOs). Results: A raw concept for standards based acquisition, storage, archiving and sharing of biosignals was developed. The GDF format may serve for storing biosignals. Signals can then be shared using FHIR resources and may be stored on FHIR servers or in DICOM archives, with DICOM waveforms as one possible format. Conclusion: Currently a group of international SDOs (e.g. HL7, IHE, DICOM, IEEE) is engaged in intensive discussions. This discussion extends existing work that already was adopted by large implementer communities. The concept presented here only reports the current status of the discussion in Austria. The discussion will continue internationally, with results to be expected over the coming years.}, author = {Sauermann, Stefan and David, Veronika and Schlögl, Alois and Egelkraut, Reinhard and Frohner, Matthias and Pohn, Birgit and Urbauer, Philipp and Mense, Alexander}, isbn = {978-161499758-0}, location = {Vienna, Austria}, pages = {356 -- 362}, publisher = {IOS Press}, title = {{Biosignals standards and FHIR: The way to go}}, doi = {10.3233/978-1-61499-759-7-356}, volume = {236}, year = {2017}, } @inproceedings{12903, author = {Schlögl, Alois and Stadlbauer, Stephan}, booktitle = {AHPC16 - Austrian HPC Meeting 2016}, location = {Grundlsee, Austria}, pages = {37}, publisher = {VSC - Vienna Scientific Cluster}, title = {{High performance computing at IST Austria: Modelling the human hippocampus}}, year = {2016}, }