جستجوی استاد راهنمای دانشگاهی

Gregor Schuhknechtمشاهده پروفایل

پژوهشگر

• Computational Neuroscience
• Systems Neuroscience
• Neuronal Circuitry
• +۴ مورد دیگر

Dr. Gregor Schuhknecht is a Researcher and incoming Max-Planck Research Group Leader at the Max Planck Institute for Brain Research in Frankfurt, Germany. Starting December 2025, he will lead the Brain Algorithms and Circuits Group, focusing on computational neuroscience and neuronal circuitry in larval zebrafish. His work bridges experimental and computational approaches to understand brain algorithms enabling flexible behaviors. Education PhD in Neuroscience (2014–2019), Institute for Neuroinformatics, University of Zurich and ETH Zurich MSc in Biology (Neuroscience) (2012–2019), ETH Zurich BSc in Biosciences (2009–2012), Heidelberg University His research investigates how synaptic circuitry implements computational algorithms for sensorimotor processing, evidence accumulation, and behavior. Experimental approaches include functional imaging, optogenetics, connectomics, and computational modeling. The group will explore neuronal circuits across scales, from synapse to behavior, with a focus on biophysical properties and dynamic environmental adaptation. Recent publications highlight correlative light/electron microscopy, developmental activity-free circuit formation, and neocortical synapse analysis. Scientific Awards Meselson Prize (2024) Aspirational Neuroscience Award (2023) Best Publication Award (2021) Swiss National Science Foundation Fellowships (2021, 2019, 2018) Gregor Schuhknecht's lab will welcome graduate and postdoctoral researchers starting December 2025, focusing on experimental and computational systems neuroscience. He previously collaborated with Harvard University's Department of Molecular and Cellular Biology and the Department of Moritz Helmstaedter for connectomic analyses.

• 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 .

• Integrated Circuits
• Mixed-Signal Computing
• Neural Recording Systems
• +۱ مورد دیگر

Boris Murmann is Professor at Stanford University, specializing in integrated circuit design, mixed-signal computing, and energy-efficient AI hardware. His research advances neural interface technologies, analog design automation, and tinyML systems. Recent work develops ultra-low-power neural recording ICs for brain-computer interfaces, RRAM-based memory systems, and open-source semiconductor design frameworks. Publications demonstrate innovations in compressive sensing for neural data, hardware-algorithm co-design, and reinforcement learning for analog circuit synthesis. Significant contributions include Medusa (TinyML processor), EMBER (RRAM macro), and methodologies for coarsely-quantized computer vision and analog design automation.

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.

• Artificial Intelligence in Healthcare
• Biomedical Engineering
• Traditional Chinese Medicine Informatics
• +۳ مورد دیگر

Dr. Jing Wang is a Professor in the Department of Bioinformatics at Southern Medical University's School of Medicine, with extensive research at the intersection of artificial intelligence and biomedical applications. Her work demonstrates strong cross-disciplinary collaboration across medical institutions, engineering departments, and computer science research groups. Her primary research interests include Artificial Intelligence in Healthcare , Biomedical Engineering , and Traditional Chinese Medicine Informatics , with recent publications showing particular expertise in medical imaging analysis, diagnostic assistance systems, and clinical decision support. Her work spans both theoretical algorithm development and practical clinical implementations. Analysis of her 15 most recent publications (2025-2026) reveals a strong trend toward clinically applicable AI systems, with approximately 60% of publications focused on medical diagnostics and treatment support systems. The remaining publications demonstrate expertise in industrial applications of computer vision and fundamental AI research. Her work shows consistent collaboration with both domestic Chinese institutions and international research groups. Notable scientific contributions include: Development of 'Tianyi', a traditional Chinese medicine language model for clinical practice Innovations in bionic soft robotics for rehabilitation assistance Novel approaches to medical image analysis for cancer diagnostics Her research program appears well-funded with consistent publication output across high-impact journals in biomedical engineering, AI, and medical informatics. Current work suggests strong emphasis on translating AI research into clinical practice, particularly in diagnostic support systems and rehabilitation technology.

• Auditory Neuroscience
• Neuromodulation
• Neuronal Excitability
• +۴ مورد دیگر

Dr. Conny Kopp-Scheinpflug is an Associate Professor (PD) at the Faculty of Biology, Ludwig Maximilian University of Munich, where she leads a research group focused on auditory neuroscience. Her laboratory investigates the function and mechanisms of activity-dependent neuromodulation in the mammalian auditory system, with particular interest in how ambient sensory stimulation activates neuromodulators and how these influence neural processing of relevant information. Dr. Kopp-Scheinpflug's research spans auditory neuroscience, neuromodulation, neuronal excitability, and synaptic transmission. She employs electrophysiological (single cell in vivo and patch clamp in brain slices), anatomical, and optogenetic techniques to study how hyper- or hypo stimulation lead to acquisition or loss of function in the auditory system. Her work has significant implications for understanding and potentially treating functional disorders of neuronal excitability. Current research examines potassium channels, nitric oxide signaling, and neuromodulators like urocortin 3 in auditory processing. Analysis of Dr. Kopp-Scheinpflug's recent publications (2016-2022) reveals consistent focus on auditory processing mechanisms, particularly potassium channels (Kv3.1, Kv3.3, Kv1.1), nitric oxide signaling, and activity-dependent changes in myelination. Her research spans molecular mechanisms to systems-level auditory processing, with emphasis on sound localization, temporal processing, and recovery from hearing impairment. Key findings include how sound-evoked activity influences myelination, how nitric oxide regulates postsynaptic excitability, and how urocortin 3 aids hearing recovery. Dr. Kopp-Scheinpflug has secured funding from multiple research agencies. She maintains active collaborations with researchers at Lehigh University (Michael Burger Lab), University of Edinburgh (Matthias Hennig Lab), Ben-Gurion University of the Negev (Michal Hershfinkel Lab), and UCL (Dr. Jennifer Linden). Her laboratory currently includes Ezhilarasan Rajaram, Dr. Mihai Stancu, Oskar Kalle Juhani Markkula, Sara Pagella, and Katharine Krueger. Past lab members who have completed their training include Dr. James Sinclair, Dr. Matthew Fischl, Max Bayer, Alkmini Damkou, Alyahyay Mansour, Leander Mrowka, Joseph Kroeger, and Myriam Schmidt-Pauly.

• Microelectronics
• Biomedical Engineering
• Neural Prosthetics
• +۳ مورد دیگر

Matthias Kuhl is a Professor at the Institute of Microsystems Technology (IMTEK) at the University of Freiburg since April 2022. He leads research projects focused on neural probes, biomedical implants, and integrated microelectronic systems. His work includes developing low-power neural interfaces, stress sensors, and energy-efficient circuits for medical applications. Research Interests Neural probes with electronic depth control Implantable biomedical devices CMOS integrated sensors and actuators Energy harvesting for autonomous systems Microfabrication and 3D-printed electronics Key Projects Advanced EDC: Intracortical neural probes with electronic depth control ComBiNE: Bidirectional neural exchange components SEAM-WiT: Implantable neural probe transceivers Multi-material 3D-printed electronics His recent publications emphasize low-power neural front-ends, stress sensor integration, and biomedical system design. He advises numerous graduate students on topics ranging from CMOS circuit design to biohybrid systems. Labs & Teams He leads the Professur für Mikroelektronik lab, specializing in microelectronic systems for biomedical and industrial applications. Collaborates with orthodontic, neurobiology, and materials science groups.

Kai Markus Schneiderمشاهده پروفایل

استاد

• Gastrointestinal Diseases
• Organ Crosstalk
• Neuro-Immunology
• +۵ مورد دیگر

Prof. Kai Markus Schneider is a Full Professor (W3) of Molecular Gastroenterology and Hepatology at the TUD Dresden University of Technology, where he leads a research group at the Center for Regenerative Therapies Dresden (CRTD). He also serves as a Senior Physician in the Department of Medicine I at the University Hospital Dresden. His research deciphers molecular mechanisms of organ crosstalk to develop therapies for gastrointestinal and liver diseases, emphasizing neuro-immune interactions, gut-brain signaling, and microbiota dynamics. Education highlights include: Board Certification in Internal Medicine (2023) PhD (Dr. rer.nat) and MD (Dr. med) from RWTH Aachen University Clinical rotations at Harvard Medical School and MD Anderson Cancer Center His work spans: Neuro-Immunology : Stress-induced inflammation via the gut-brain axis Microbiome-Host Interactions : Dysbiosis in liver cancer and cholestasis Regenerative Therapies : Molecular circuits in GI disease recovery Recent publications (2021-2023) focus on stress-gut-liver interactions, highlighting roles of enteric nerves, microbiota imbalances, and FXR signaling in disease progression. Trends show interdisciplinary integration of neuroscience, immunology, and molecular biology. Awards include: Heinz Maier-Leibnitz Prize (2024) Theodor-Frerichs-Prize (2024) Rising Star Award (UEG, 2023) Early Career Investigator Award (AASLD, 2021) He advises PhD students (e.g., Qusay Salih) and oversees a team of postdocs, technicians, and visiting scientists. Research is funded by European and German institutions.

• Neuromorphic Computing
• Organic Electronics
• Bioelectronics
• +۳ مورد دیگر

Paschalis Gkoupidenis is an Associate Professor in the Department of Electrical and Computer Engineering at North Carolina State University (since August 2024) and a Group Leader at the Department of Molecular Electronics at the Max Planck Institute for Polymer Research. His research focuses on developing organic neuromorphic devices for neuro-inspired information processing, learning, sensing, and bio-interfacing. Research Interests Dr. Gkoupidenis specializes in hardware-based implementation of neuromorphic architectures, which offer efficient ways of data manipulation and processing, especially in data-intensive applications. His work explores how organic materials and devices can be used for neuro-inspired devices and bioelectronics, leveraging their attractive characteristics such as ability to operate in electrolytes, spatiotemporal response, analogue memory phenomena, tunability via chemical synthesis, low-cost fabrication processes, and biocompatibility. His research group investigates various concepts for inducing neuroplasticity, learning forms, and spatiotemporal information processing functions at a single-device level, as well as new paradigms of neuromorphic architectures at circuit level. These neuro-inspired functions are essential for trainable/adaptable circuits in energy-restricted environments and for local signal processing in bioelectronics. Scientific Contributions Development of organic neuromorphic devices for neuro-inspired information processing Research on synaptic plasticity functions in organic electrochemical transistors Exploration of neuromorphic device architectures with global connectivity through electrolyte gating Investigation of functional connectivity of organic neuromorphic devices by global voltage oscillations Advancement of organic neuromorphic devices for adaptive sensing and novel computing paradigms in bioelectronics Affiliations Associate Professor, Department of Electrical and Computer Engineering, North Carolina State University (since August 2024) Group Leader, Organic Neuromorphic Electronics, Max Planck Institute for Polymer Research (since 2017) Postdoctoral Researcher, Department of Bioelectronics, EMSE, France (2015-2017)

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).

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.

Kei Itoمشاهده پروفایل

استاد

• Neuroscience
• Drosophila Brain Architecture
• Glial Cell Biology
• +۴ مورد دیگر

Prof. Dr. Kei Ito is a leading neuroscientist at the University of Cologne , specializing in Drosophila melanogaster brain architecture. His research focuses on mapping " terra incognita " regions of the brain, analyzing glial cell functions across development, and establishing standardized insect brain nomenclature through international collaboration. As AXA Chairholder and former HHMI Senior Fellow , he combines molecular genetics with 3D virtual reality visualization to unravel neuronal network organization . Academic Affiliation : University of Cologne (2016–present) Prior Positions : The University of Tokyo (2002–2017), National Institute for Basic Biology (1998–2002) Research Interests span multiple domains: "Terra Incognita" Analysis : Systematic mapping of previously uncharacterized brain regions (70% of brain volume) Glial Cell Biology : Classification and functional analysis from embryo to adult Connectome Research : Integration of electron microscopy data with genetic tools Neuronal Lineage Studies : 3D reconstruction of neuroblast progeny patterns Scientific Contributions include: Creation of 4,500 NP Gal4 driver lines (Japan consortium, 1998) Pioneering Split-Gal4 systems for precise neuron labeling Establishment of 6 distinct neuron naming schemes for EM data Leadership in Insect Brain Name Working Group (2007–2014) Advising Legacy features direct mentorship of 6 doctoral students and collaborative analysis of 3,777 neuron types in EM datasets. His lab maintains 1,000+ specific Split-Gal4 lines for terra incognita research.

• Nanotechnology
• Materials Science
• Memristive Systems
• +۳ مورد دیگر

Dr.-Ing Alexander Vahl is a Researcher at the Technical Faculty of Kiel University, leading the subgroup Nanoparticles for Nanocomposites . He specializes in advanced materials science, focusing on nanoparticle synthesis, functional thin films, and neuromorphic engineering. His research bridges nanotechnology with applications in memristive systems and plasmonics, emphasizing strain-invariant conductors and photocatalytic growth mechanisms. Key projects include developing self-assembled nano-object networks for brain-inspired computing and optimizing gas aggregation cluster sources for novel material fabrication. His work spans disciplines such as memristive switching, plasmonic metasurfaces, and bio-inspired electronics. Notable contributions include studies on silver/polymer nanofluids, ITO-TiO₂ heterojunctions, and multicomponent nanoparticle synthesis. Vahl collaborates with the Chair for Functional Nanotechnology, leveraging interdisciplinary expertise to advance materials innovation. His articles highlight advancements in neuromorphic systems, photocatalytic deposition, and thin-film technologies. The research emphasizes scalability and real-world applications, such as energy-efficient sensors and hybrid zinc batteries. Vahl’s subgroup webpage and extensive publications reflect a commitment to pushing boundaries in nanomaterials engineering.

Cornelius Faberمشاهده پروفایل

استاد

• MRI cell tracking
• infection imaging
• MR methodology
• +۶ مورد دیگر

Cornelius Faber is a University Professor in the Department of Radiology at the University of Münster, Germany, where he leads the Experimental Nuclear Magnetic Resonance research group. His work focuses on developing and implementing novel MRI techniques that extend the boundaries of magnetic resonance imaging in terms of spatial and temporal resolution, sensitivity, and specificity for physiological, structural, and molecular changes. He actively participates in the "Cells in Motion" interdisciplinary research initiative at the university. Professor Faber's research spans multiple critical areas in medical imaging and biomedical science. His primary expertise lies in MRI cell tracking , enabling visualization of cellular dynamics in vivo. He has made significant contributions to infection imaging , developing methods to detect and characterize microbial infections using MRI. His work on MR methodology development has advanced quantitative imaging techniques, while his research on multimodal integration in MR and MRI contrast mechanisms has provided deeper insights into molecular and cellular processes. His research bridges physics, engineering, and biomedical applications, with particular relevance to inflammation, cancer, neurological disorders, and cardiovascular disease. Analysis of Professor Faber's extensive publication record reveals a clear evolution from fundamental MRI technique development toward increasingly sophisticated applications in disease models. His recent work demonstrates a strong trend toward multimodal imaging approaches that combine MRI with complementary techniques such as mass spectrometry, optical imaging, and PET. This integration creates comprehensive diagnostic platforms that provide both anatomical and molecular information. A notable pattern is the focus on cellular dynamics, particularly immune cell behavior in inflammatory conditions and tumor microenvironments, with applications spanning neuroscience, oncology, and cardiology. Professor Faber leads a multidisciplinary research team of approximately 15 members, including scientists, doctoral students, technicians, and medical students. His laboratory is deeply integrated with the University of Münster's research infrastructure, particularly the Multiscale Imaging Centre. The group's work contributes significantly to advancing preclinical MRI methodologies while maintaining strong clinical relevance, with numerous publications in high-impact journals across medical imaging, neuroscience, and biomedical engineering disciplines.