جستجوی استاد راهنمای دانشگاهی

Susanne Weisمشاهده پروفایل

استاد پژوهش

• Neuroimaging
• Cognitive Neuroscience
• Machine Learning in Neuroscience
• +۳ مورد دیگر

Susanne Weis is a Research Professor and Group Leader of the 'Variability of the Brain' group at the Department of Brain and Behavior (INM-7), part of the Institute of Neuroscience and Medicine (INM) at Research Center Jülich GmbH. Her work focuses on understanding brain variability through advanced neuroimaging techniques and machine learning, with particular emphasis on sex differences, hormonal influences, and clinical applications in mental health. Her research interests include neuroimaging methodologies, machine learning applications in cognitive neuroscience, and the structural-functional relationships underlying brain variability. She investigates how factors like sex hormones and naturalistic stimuli (e.g., movies) affect brain connectivity and cognitive performance, aiming to improve diagnostic and predictive tools for disorders such as schizophrenia and Alzheimer’s disease. Publications highlight her contributions to developing datasets (e.g., SpEx), analyzing confound leakage in ML models, and exploring meta-analytic networks during naturalistic viewing. Her work bridges basic science and clinical impact, addressing challenges in interpreting neuroimaging data and advancing personalized medicine approaches. In her role as a group leader, Weis oversees research projects and collaborates with interdisciplinary teams. She is affiliated with the Helmholtz Association and contributes to the broader scientific community through her research in neuroimaging and computational neuroscience.

Karen Alimمشاهده پروفایل

استاد

• Biological Physics
• Morphogenesis
• Non-neuronal Information Processing
• +۴ مورد دیگر

Prof. Karen Alim is a Professor of Biological Physics and Morphogenesis at the Department of Physics, Technische Universität München (TUM), affiliated with the TUM School of Natural Sciences. She holds a PhD from the Ludwig-Maximilians-Universität München (2010) and conducted postdoctoral research at Harvard University (2010–2015) before leading a Max Planck Research Group in Göttingen. Her research focuses on non-neuronal information processing in living systems, particularly using Physarum polycephalum to study physical principles of network adaptation, fluid dynamics, and morphogenesis. Education: PhD in Physics, Ludwig-Maximilians-Universität München (2010) Studies at Universität Karlsruhe, LMU München, and University of Manchester Research Interests: Prof. Alim explores how biological systems process information without neurons, emphasizing adaptive flow networks, mechanical signaling in plants, and collective behavior in active matter. Her work combines theoretical modeling with experimental systems like slime molds and plant tissues. Awards: ERC Starting Grant (2020) Elisabeth-Schiemann-Kolleg Fellowship (2013–2018) DAAD Stipendium (2011–2014) John Birks Award (2004) Advising & Grants: While specific grant details beyond the ERC award are not listed, her research has been supported by major funding bodies. No student advisees are explicitly listed in the provided materials. Labs/Teams: Leads the Biological Physics and Morphogenesis group at TUM, focusing on interdisciplinary studies of living systems' physical principles.

• Neural circuit mechanisms
• Adaptive learning
• State-dependent decision-making
• +۴ مورد دیگر

Dr. Sabine Krabbe is a Group Leader at the German Center for Neurodegenerative Diseases (DZNE) in Bonn, Germany, where she leads research on neural circuit mechanisms underlying adaptive learning and state-dependent decision-making. Her work integrates neuroscience, molecular biology, and behavioral approaches to understand how internal states influence behavior and how these processes are disrupted in neurological disorders. Dr. Krabbe's research focuses on the interactions between midbrain circuits of the substantia nigra and ventral tegmental area with their output structures such as the striatum and amygdala. She investigates how these networks integrate internal states with environmental cues to produce appropriate behavioral responses. Her laboratory employs state-of-the-art techniques including deep-brain calcium imaging at single-cell resolution in mice, opto- and pharmacogenetic manipulations, anatomical tracings, and molecular approaches to characterize neural circuit elements in detail. Her recent publications reveal significant insights into amygdala interneuron plasticity during fear learning, brain-wide representational drift in memory consolidation, and the molecular mechanisms underlying Parkinson's disease progression. Her work demonstrates how activity patterns within specific neural circuits change in early stages of neurodegenerative diseases and how this dysfunction contributes to cognitive deficits and emotional disturbances. Dr. Krabbe is actively involved in the neuroscience community, organizing the BonnBrain Conference 2026 and sharing research through social media platforms. She has established herself as an emerging leader in the field of systems neuroscience with a particular focus on the neural basis of emotional states and decision-making processes.

• Self-organized criticality
• Neuronal network dynamics
• Excitation/Inhibition balance
• +۵ مورد دیگر

Anna Levina is an Assistant Professor for Computational Neuroscience at the University of Tübingen , affiliated with the Department of Computer Science under the Faculty of Science. Her research focuses on the self-organization of neuronal activity, critical dynamics in neural networks, and the excitation/inhibition balance in cortical circuits. Current positions: Assistant Professor (since 2018), Group Leader (2017-2018), Equality Officer (Computer Science) Previous roles: IST Fellow (2015-2017), Associated Researcher (2011-2015), Postdoc/PI (2011-2015), Postdoc (2008-2011) Her research integrates mathematical modeling , statistical physics , and computational neuroscience to study criticality phenomena, neural avalanches, and adaptive network dynamics. Key interests include: Self-organized criticality in neural systems Excitation/Inhibition balance mechanisms Network topology and dynamics Timescale analysis in neural processing Stochastic modeling of neural activity Recent publications reveal trends in understanding critical dynamics across biological and artificial networks, with applications to memory systems, sensorimotor integration, and disease modeling. She has received recognition as an IST Fellow .

Ruben Portuguesمشاهده پروفایل

استاد

• Neuroscience
• Systems Neuroscience
• Behavioral Neuroscience
• +۷ مورد دیگر

Ruben Portugues is a Professor of Brain Circuit Function and Dysfunction at the Institute of Neuroscience, Technical University of Munich (TUM). He is a full member of the Graduate School of Systemic Neurosciences (GSN), an associate and advisory board member of the Munich Center for Neurosciences (MCN), and leads a research group focused on understanding the neural basis of behavior. His lab uses larval zebrafish as a model organism to investigate sensorimotor control, decision-making, and motor learning through whole-brain imaging and circuit analysis. His research interests lie at the intersection of systems neuroscience and behavior. He investigates how brain circuits process sensory information, integrate it with motor output, and enable adaptive and flexible behavior. Key areas include the function of the cerebellum, heading direction networks, sensorimotor transformations, and the neural mechanisms of decision-making. His lab employs cutting-edge techniques including custom-built microscopes, behavioral assays, and computational analysis. The recent publications and preprints from his lab demonstrate a strong trend in decoding distributed neural circuits underlying navigation and decision-making in zebrafish. There is a clear focus on identifying specific brain regions (e.g., interpeduncular nucleus, cerebellum) and cell types involved in processing visual, motor, and spatial information. The work increasingly emphasizes whole-brain functional imaging and the emergence of cognitive-like representations such as allocentric heading direction. FENS-Kavli Network of Excellence (FKNE) PhD Thesis Prize (awarded to student Luigi Petrucco) Ruben Portugues actively mentors PhD students, including current advisees Luigi Petrucco, Ot Prat, and Shuhong Huang, and has successfully graduated Dr. Elena Dragomir and Dr. Vilim Štih. His lab engages in extensive collaborations, hosts visiting researchers, participates in teaching (e.g., CSHL Imaging Course, Cajal Course), and secures resources for advanced research. The lab is known for building its own microscopes and software, fostering technical innovation. The Portugues Lab operates as a dynamic, interdisciplinary team that combines experimental neuroscience with computational and engineering approaches. They regularly hold retreats, participate in scientific events, and contribute to community initiatives like the Munich Brain Day. The lab is preparing to relocate to the Department of Neurobiology and Behavior at Cornell University, marking a new phase in its research trajectory.

• Bone Biology
• Skeletal Disorders
• Wnt Signaling Pathways
• +۵ مورد دیگر

Dr. Timur Alexander Yorgan is a prominent researcher at the Department of Osteology and Biomechanics at University Medical Center Hamburg-Eppendorf (UKE). Holding a Dr. rer. nat. degree, he has established himself as a leading figure in bone biology with over 60 publications spanning from 2013 to 2025. His research is deeply integrated with key institutional research areas including the Hamburg Center of Neuroscience and immunology research networks at UKE. Dr. Yorgan's research focuses on skeletal development, bone remodeling, and genetic bone disorders, with particular emphasis on Wnt signaling pathways and their role in bone homeostasis. His work spans multiple approaches from molecular genetics to translational studies, investigating osteoblast and osteocyte biology, genetic mechanisms underlying disorders like osteogenesis imperfecta, and the effects of various mutations on skeletal integrity. Recent research has expanded into the gut-bone axis, mechanobiology of bone cells, and neuro-immune interactions affecting bone metabolism. Analysis of Dr. Yorgan's publication record reveals a consistent trajectory of high-impact research in bone biology. His work increasingly explores interdisciplinary connections between bone metabolism and other physiological systems, with growing emphasis on translational approaches for therapeutic interventions. The research demonstrates sophisticated use of mouse models and molecular techniques to unravel complex bone disorders and identify potential treatment targets. Dr. Yorgan appears to be actively involved in collaborative research across multiple institutions, as evidenced by his extensive publication record with numerous co-authors from various departments and institutions. His work is frequently published in high-impact journals including Journal of Bone and Mineral Research, Nature Communications, and Bone Research. The Department of Osteology and Biomechanics at UKE, where Dr. Yorgan is based, is part of a vibrant research ecosystem that includes the Hamburg Center of Neuroscience and other key research networks focusing on immunology, oncology, and cardiovascular research. This collaborative environment enables interdisciplinary approaches to understanding skeletal disorders and developing novel therapeutic strategies.

Burkhard Maessمشاهده پروفایل

استاد پژوهش

• Neuroscience
• Auditory Processing
• Signal Analysis
• +۳ مورد دیگر

Dr. Burkhard Maess is a Research Professor and Group Leader at the Max Planck Institute for Human Cognitive and Brain Sciences, leading the Methods and Development Group Brain Networks. His research focuses on auditory and language processing, signal analysis, and dynamic modeling of neuronal networks. He holds a Diploma in Physics (University of Leipzig, 1987) and a PhD in Physics (University of Leipzig, 1990). His career includes postdoctoral positions at the Academy of Sciences of the GDR and the Free University of Berlin before joining the MPI in 1995. Since 2000, he has led research groups on MEG/EEG signal analysis and cortical network dynamics. His work integrates advanced neuroimaging techniques like MEG and EEG to study sensory processing, neural network dynamics, and the effects of aging on auditory attention. Key contributions include developing high-resolution BEM-FMM methods for source localization and analyzing cross-frequency coupling in neuroscience data. His group also explores spinal cord electrophysiology and the neural underpinnings of perceptual decision-making. Dr. Maess’ research spans cognitive neuroscience, biomedical engineering, and computational modeling, with a focus on bridging empirical findings with theoretical frameworks in neuroscience.

Nikolaus Rajewskyمشاهده پروفایل

استاد

• RNA Biology
• Gene Regulation
• Single-Cell Transcriptomics
• +۶ مورد دیگر

Nikolaus Rajewsky is a leading Professor at the Max Delbrück Center for Molecular Medicine (MDC) and Charité – Universitätsmedizin Berlin , where he founded and directs the Berlin Institute for Medical Systems Biology (BIMSB) . His lab integrates experimental (biochemistry, molecular biology) and computational (bioinformatics, physics) approaches to study RNA regulation in gene expression , with applications to developmental biology, regeneration, neurodegenerative diseases, and cancer . Using model systems like C. elegans , planaria, and human brain organoids, his team pioneers cutting-edge methods such as MirDeep , DistMap , and FLAM-seq for RNA analysis. His research focuses on single-cell transcriptomics , spatial RNA sequencing , and circular RNA (circRNA) regulation , revealing novel roles for circRNAs like CDR1as in neuropsychiatric disorders. Recent work includes 3D tumor microenvironment mapping and computational modeling of RNA metabolism in diseases. Scientific Awards : Gottfried Wilhelm Leibniz Prize (2012) EMBO Membership (2010) Honorary PhD, Sapienza University of Rome (2014) Berlin Science Award (2009) His team's recent articles highlight breakthroughs in 3D spatial transcriptomics , circRNA degradation mechanisms , and mitochondrial disease modeling using human brain organoids. The lab actively collaborates with clinical partners across Charité and European institutions, driving the LifeTime initiative for cell-based interceptive medicine.

Thomas Kunerمشاهده پروفایل

استاد

• Neuroscience
• Neurophysiology
• Pain Research
• +۳ مورد دیگر

Prof. Thomas Kuner is a Professor and Director of the Department of Functional Neuroanatomy at the University of Heidelberg's Medical Faculty. He holds a medical degree (MD) from Heidelberg (1998) and completed postdoctoral work at Duke University and the Marine Biological Laboratory. Since 2000, he has led a research group at the Max Planck Institute for Medical Research, followed by habilitation in Physiology (2003) and appointment as Professor of Anatomy and Cell Biology (2006). Research Focus: His work focuses on neuroanatomy, synaptic transmission mechanisms, and pain research. Key projects include investigations into the structural and functional properties of synapses (e.g., calyx of Held), the role of presynaptic proteins like Mover, and the molecular basis of pain signaling via the SFB 1158 consortium. His lab uses advanced imaging techniques (e.g., STED microscopy) and genetic models to study neuronal circuits and synaptic plasticity. Funding & Collaborations: Kuner's research is supported by grants from the DFG (e.g., SFB 1158), the Baden-Württemberg Foundation, and other national/international bodies. His interdisciplinary approach bridges cellular neuroscience, molecular biology, and clinical applications in pain management. Teaching & Leadership: He oversees the Institute of Anatomy and Cell Biology, contributing to graduate programs in medical education and anatomy. His team includes postdocs and technicians, with collaborations extending to imaging technology development and medical education innovation.

Axel Mecklingerمشاهده پروفایل

استاد

• Neurocognition of Memory and Language
• Executive Functions
• Spatiotemporal Brain Imaging
• +۷ مورد دیگر

Prof. Dr. Axel Mecklinger is a leading cognitive neuroscientist at Saarland University , specializing in the neurocognition of memory and language through spatiotemporal brain imaging (EEG/MEG/fMRI). His career spans over three decades, with significant contributions to understanding visual working memory , associative recognition , and memory development . Key research areas: Memory binding, ERP subsequent memory effects, novelty detection, and cognitive aging Major grants: DFG Research Groups, Collaborative Research Centers, and international collaborations with the Chinese Academy of Sciences Scientific leadership: Organized conferences, edited journals, and served as speaker for research training groups His recent work explores unitization in memory formation , cross-cultural differences in memory processing , and theta neurofeedback interventions . Awards include the Early Career Award of the German Psychophysiology Society (1992) and the European Federation of Psychophysiology Societies' Federation Prize (1994). Current projects investigate the neural mechanisms of semantic surprisal and memory plasticity in aging populations.

Benjamin de Haasمشاهده پروفایل

پژوهشگر

• Visual Perception
• Face Processing
• Individual Differences
• +۳ مورد دیگر

Dr. Benjamin de Haas is a vision scientist and faculty member at Justus Liebig University Giessen , Germany, within the Department of Psychology and Sports Science . He currently leads the ERC-funded Indivisual project and co-leads project C9 Factors influencing categorical face processing within the Collaborative Research Centre CRC/TRR 135. He is also a principal investigator in the NeurOscientific Workflow Assistance (NOWA) infrastructure project, dedicated to open, reproducible neuroscience. Research Focus Dr. de Haas pursues two intertwined questions: How do early and late stages of visual processing interact—from the initial registration of slanted edges to the recognition of faces? How and why do our perceptions differ from one person to the next? To answer these questions his group combines psychophysics, high-resolution eye-tracking, functional and quantitative MRI, and computational modelling, with a strong emphasis on face perception, individual differences, and naturalistic viewing conditions. Publications Overview Across more than 20 publications since 2016, Dr. de Haas has advanced understanding of individual differences in face processing, gaze control, and visual salience. His work repeatedly appears in Journal of Vision , Nature Communications , PNAS , and NeuroImage , highlighting a sustained focus on eye-movement behaviour, cortical representations of faces and scenes, and methodological best practices in neuroimaging. Current Supervision & Team Dr. de Haas currently supervises two PhD students: Elaheh Akbarifathkouhi Hilal Nizamoglu Together with Dr. Katharina Dobs (co-project leader) and affiliated post-docs and research technicians, the group forms the Indivisual laboratory at Giessen. Contact & Resources Email: Benjamin.de-Haas@psychol.uni-giessen.de Department of Psychology and Sports Science Otto-Behaghel-Str. 10F, 35394 Gießen, Germany

Hermann Cuntzمشاهده پروفایل

پژوهشگر

• Neuroscience
• Computational Neuroscience
• Neuroinformatics
• +۴ مورد دیگر

Dr. Hermann Cuntz is an Independent Group Leader at the Ernst Strüngmann Institute (ESI) for Neuroscience in cooperation with the Max Planck Society. He is also a Research Fellow at the Frankfurt Institute for Advanced Studies (FIAS) since 2014 and affiliated with the Goethe University Frankfurt via the Institute of Clinical Neuroanatomy . His email address is hermann.neuro@gmail.com , and he is based in Frankfurt am Main, Germany. Research Focus: Dr. Cuntz investigates principles of neuronal wiring, aiming to decode the "connection code" of the brain. His work bridges morphology and function using computational tools, mathematical laws, and morphological modeling. Key areas include dendritic constancy , structural plasticity , connectomics , and neuroinformatics , with applications in understanding neurodegenerative diseases like Alzheimer’s. Education: PhD from the University of California at Berkeley and Max Planck Institute of Neurobiology (2000-2004). Diploma in biology from Eberhard Karls Universität Tübingen (1994-2000). Recent Publications highlight research trends in dendritic structure, pattern separation, synaptic spine distribution, and cortical folding. His lab develops the TREES Toolbox , a MATLAB-based framework for neuronal morphology analysis. Scientific Awards: Bernstein Award (2013-2019) DFG Eigene Stelle (2014-2016) Feodor Lynen Fellowship (Alexander von Humboldt, 2006-2008) Minerva Fellowship (2004-2005) Wellcome Image Award (2011) 1st Prize Poster Competition, UCL Neuroscience Symposium (2010) Advising and Grants: Dr. Cuntz mentors numerous PhD and Master’s students, including Marcel Beining , Mariuss Schneider , and Marvin Weigand . His lab receives funding from the DFG , Bernstein Award , and collaborations with institutions like the 3R-Center Giessen and Interdisciplinary Centre for 3Rs (ICAR3R) . Labs and Collaborations: The Cuntz Lab specializes in computational neuroanatomy, with alumni working globally in academia and industry. Key collaborators include Prof. Peter Jedlicka (Justus Liebig University), Prof. Gaia Tavosanis (DZNE Bonn), and Prof. Alexander Borst (MPI Neurobiology).

Christine Heimمشاهده پروفایل

استاد

• Psychobiology of Stress
• Developmental Psychobiology
• Epigenetics
• +۵ مورد دیگر

Prof. Dr. Christine Heim is a University Professor (W3) and Director of the Institute of Medical Psychology at Charité – Universitätsmedizin Berlin, where she leads interdisciplinary research on stress psychobiology. She holds concurrent appointments as Research Professor at Pennsylvania State University's College of Health and Human Development and serves as Principal Investigator in the NeuroCure Cluster of Excellence (DFG EXC 2049). Her faculty affiliations include the Berlin School of Mind & Brain, Max Planck School of Cognition, and Einstein Center for Neurosciences. Her research program investigates mechanisms through which early-life stress fundamentally alters biological adaptability across the lifespan, increasing disease risk. Key focuses include: Molecular and epigenetic embedding of stress effects Gene-environment interactions in stress vulnerability Neuroendocrine and immunological consequences of trauma Development of biomarkers and early interventions Her publications demonstrate consistent focus on stress biology across multiple levels of analysis, with recent work emphasizing epigenetic clocks, neural plasticity, and childhood maltreatment outcomes. Research employs multimodal methods integrating psychological, neuroendocrine, immunological, neural, and molecular approaches. She coordinates the BMBF-funded research network 'Programming Effects of Childhood Stress on Lifelong Disease Risk (Kids2Health)' and serves on the Steering Committee for 'Promoting Talent' in the Berlin University Alliance.

Julijana Gjorgjievaمشاهده پروفایل

استاد

• Computational Neuroscience
• Theoretical Neuroscience
• Neural Circuit Development
• +۴ مورد دیگر

Prof. Julijana Gjorgjieva is a tenured W3 Professor of Computational Neuroscience at the School of Life Sciences Weihenstephan, Technical University of Munich (TUM). She leads an independent research group at the Max Planck Institute for Brain Research and is affiliated with the Bernstein Center for Computational Neuroscience. Her research focuses on the principles governing neural circuit development, balancing learning plasticity with functional stability through computational and theoretical approaches. Key interests include synaptic organization, energy-efficient neural computation, and evolutionary optimality principles. Education & Career: B.Sc. Mathematics, Harvey Mudd College (2006) M.A.St. in Applied Mathematics, University of Cambridge (2007) Ph.D. Applied Mathematics, University of Cambridge (2011) Postdoctoral Fellowships: Harvard University (2011-2014), Brandeis University (2014-2016) Max Planck Research Group Leader (2016-2022) W2/W3 Professor at TUM since 2016 Research Interests: Computational neuroscience, theoretical modeling of neural circuits, synaptic plasticity mechanisms, homeostatic regulation, and the interplay of development and evolution in shaping brain architecture. She employs mathematical frameworks to study how circuits achieve robustness while enabling adaptive learning. Awards: Heinz Maier-Leibnitz Prize (2022) Eric Kandel Young Neuroscientist Prize (2021) ERC Starting Grant (2018) Multiple postdoctoral and early-career fellowships Grants & Funding: Includes DFG Collaborative Research Center on Neural Homeostasis, HFSP grants, and EU Horizon 2020 initiatives. Active in mentoring and promoting computational neuroscience through programs like Neuromatch Academy. Labs & Collaborations: Leads a multidisciplinary lab integrating experimental and theoretical approaches. Collaborates with institutions such as the Max Planck Society and international computational neuroscience networks.

• Medical Biometry
• Epidemiology
• Cognitive Dysfunction
• +۴ مورد دیگر

Insa Feinkohl is a Professor at the Chair of Medical Biometry and Epidemiology within the Faculty of Health at the University of Witten/Herdecke . Her research focuses on risk factors for cognitive dysfunction and mental health in older adults, particularly post-surgery, with emphasis on metabolic and cognitive risk factors. Bachelor of Science (BSc) in Psychology (1 st class honors) – University of Dundee (2006-2009) Master of Science (MSc) in Psychology of Individual Differences (with distinction) – University of Edinburgh (2009-2010) PhD in Community Health Sciences – University of Edinburgh (2010-2014) Post Doc in Knowledge Construction Group – Leibniz Institute for Knowledge Media, Tübingen (2014-2015) Postdoc in Molecular Epidemiology Group – Max Delbrück Center, Berlin (2015-2022) Habilitation in Molecular Epidemiology – Charité Universitätsmedizin Berlin (2021) Her research integrates medical biometry and epidemiology to study postoperative cognitive dysfunction (POCD), delirium, and aging-related cognitive decline. Key areas include biomarker validation (e.g., leptin, interleukins), brain connectivity (dopaminergic networks, thalamus), and metabolic risk factors (diabetes, obesity). She contributed to the BioCog project , an EU-funded initiative for personalized risk prediction of postoperative cognitive impairment. Her recent publications highlight trends in perioperative neuroscience, including brain mineralization, cytokine associations with neurocognitive disorders, and structural/functional imaging in delirium. Articles also explore metabolic syndrome, cognitive reserve, and delirium prediction models using machine learning. Insa Feinkohl is affiliated with major academic societies, including the German Society for Epidemiology , German Society for Medical Informatics, Biometry and Epidemiology , and the German University Association .