جستجوی استاد راهنمای دانشگاهی

Franziska Knolleمشاهده پروفایل

پژوهشگر

• Computational Neuroscience
• Cognitive Neuroscience
• Clinical Neuroscience
• +۱۵ مورد دیگر

Dr. Franziska Knolle is a Researcher and Principal Investigator at the Department of Neuroradiology, School of Medicine and Health, Technical University of Munich (TUM) . She leads the KnolleLab , focusing on computational and clinical neuroscience. She completed her Habilitation in Neuroscience in June 2024 and holds a PhD from the Max Planck Institute of Cognitive and Brain Sciences. Education and Training: PhD, Max Planck Institute of Cognitive and Brain Sciences, Leipzig Habilitation in Neuroscience, Technical University of Munich (2024) Medical undergraduate studies (Physikum), TU Dresden Marie Skłodowska-Curie Fellow Research Interests: Dr. Knolle uses computational modeling, fMRI, EEG, and machine learning to study cognitive mechanisms in health and psychiatric disorders, especially psychosis. Her work is grounded in the framework of predictive processing and Bayesian inference , exploring how prior beliefs influence perception, decision-making, and language. She investigates whether computational parameters can predict psychiatric risk or functional outcomes, with a focus on schizotypy, autism traits, and glutamate neurochemistry. Publication Trends: Her recent publications span computational psychiatry, neuroimaging, and cognitive modeling. Key themes include predictive processing in psychosis, reward prediction errors, semantic prior weighting, neural circuitry of salience, and multimodal imaging (fMRI, EEG, MRS). Her work increasingly integrates AI and machine learning for digital phenotyping and biomarker discovery. Scientific Awards: Marie Skłodowska-Curie Fellow Advising and Grants: Dr. Knolle supervises multiple PhD and medical doctorate students, including Elisabeth Sterner, Pritha Sen, and Onur Icin. She mentors students in computational modeling, neuroimaging, and clinical research. Her lab is supported by funding from competitive sources including DFG, DAAD, Marie Curie, and Leopoldina. She collaborates widely with institutions in the UK, Germany, and internationally. Labs and Teams: She leads the KnolleLab at TUM, which includes PhD students, medical researchers, and interns. The lab focuses on integrating computational models with multimodal brain data. She collaborates with researchers at the University of Cambridge, King’s College London, MRC CBU, and the University of Melbourne.

Terry Lohrenzمشاهده پروفایل

دانشگاهی

• Computational Neuroscience
• Decision-Making
• Social Interaction
• +۷ مورد دیگر

Terry Lohrenz is a Research Associate Professor at the Fralin Biomedical Research Institute at Virginia Tech Carilion (VTC), where he is a key member of the Montague Lab within the Human Neuroimaging Laboratory and Computational Psychiatry Unit. His interdisciplinary research bridges mathematics, neuroscience, and psychiatry to investigate the neural mechanisms of decision-making and social behavior. Education: B.A. in Physics, Harvard University Ph.D. in Mathematics, Rutgers University Lohrenz's research focuses on mathematical modeling of human behavior, particularly in the domains of decision-making, social interaction, and psychiatric disorders. His work leverages computational neuroscience and neuroimaging to uncover how the brain processes rewards, errors, and social signals. He has made significant contributions to understanding fictive learning, dopamine signaling, and the neural basis of impulsivity in addiction. His recent publications reveal a strong trend in using high-resolution neuroimaging and in vivo neurochemistry to decode complex cognitive processes such as counterfactual reasoning, risk assessment, and moral judgment. These studies are often conducted in clinical populations, including individuals with cocaine dependence and anorexia nervosa, highlighting the translational impact of his work. Scientific Awards: No awards listed in the provided text. Lohrenz has been involved in numerous collaborative research projects, often funded by major federal grants (implied by publication venues and institutional affiliations), and has advised or co-mentored graduate students and postdoctoral researchers through his role in the Montague Lab. While specific grants and advisees are not listed, his extensive publication record with trainees suggests active mentorship and research leadership. He is a core member of the Montague Lab, a leading research group in computational psychiatry and neuroeconomics, which uses advanced neuroimaging, behavioral experiments, and machine learning to study brain function in health and disease.

• Computational Neuroscience
• Social Cognition
• Mentalization
• +۹ مورد دیگر

Niklas Georg Bürgi is a postdoctoral researcher in the Department of Computational Neuroscience at the Max Planck Institute for Biological Cybernetics, working in Peter Dayan's group. His research integrates behavioral experiments, neuroimaging, and computational modeling to understand social learning and interaction in both healthy individuals and those with mental disorders. Research Interests: His work centers on computational social cognition , particularly mentalization —the ability to infer others' thoughts—and how it adapts during reciprocal interactions. He investigates how these processes are altered in depression and other psychiatric conditions, combining clinical psychology with advanced neuroimaging and modeling techniques. His research bridges human and artificial intelligence, aiming to uncover mechanistic accounts of social inference. The recent publications highlight a strong trend toward understanding the neural and computational basis of social cognition , with applications in computational psychiatry . His work employs fMRI, machine learning, and game-theoretic paradigms to decode social belief updates and brain network dynamics in depression. Scientific Awards: Annual award for excellent scholarly work by the University of Zurich (for PhD dissertation) Advising and Grants: While no formal students or grants are listed, his research has been supported through institutional funding at the Max Planck Institute and the Zurich Center for Neuroeconomics. He has collaborated with leading researchers in neuroeconomics and clinical psychiatry, suggesting active involvement in interdisciplinary projects and mentorship through research collaboration. Labs and Teams: He is currently part of Peter Dayan’s group at the Max Planck Institute for Biological Cybernetics. Previously, he was a PhD student in Christian Ruff’s group at the Zurich Center for Neuroeconomics (ZNE). His work has involved collaborations with teams in psychodynamic therapy research, neuropsychopharmacology, and healthy aging, indicating a broad interdisciplinary network.

Caroline Catmurمشاهده پروفایل

دانشیار

• Social Cognition
• Social Neuroscience
• Theory of Mind
• +۷ مورد دیگر

Dr. Caroline Catmur is a Reader in Cognitive Psychology at King's College London's Institute of Psychiatry, Psychology & Neuroscience, where she joined in August 2015. Her research focuses on the psychological and neural mechanisms underlying social cognitive abilities including imitation, empathy, and theory of mind. She leads the Experimental and Social Psychology Research Group (EASY) within the Department of Psychology. Dr. Catmur earned her PhD in Psychology from University College London and completed her undergraduate studies with a BA in Experimental Psychology from the University of Oxford. Prior to her current position, she served as a Lecturer in Cognitive Psychology at the University of Surrey. She is also recognized as a Fellow of the Higher Education Academy for her contributions to teaching and learning. Her research program investigates social cognition through multiple lenses, with particular emphasis on how social experience shapes the brain's mirror neuron system, how brain stimulation can illuminate social interaction mechanisms, and how empathic abilities develop. Her work bridges cognitive psychology, neuroscience, and clinical applications, particularly in understanding autism spectrum disorders and alexithymia. She has made significant contributions to understanding the relationship between language development and emotional processing, face perception mechanisms, and the cognitive foundations of theory of mind. Dr. Catmur's recent publications reveal a strong focus on mental state attribution, with increasing attention to computational approaches to theory of mind and the intersection of artificial intelligence with human social cognition. Her work consistently examines individual differences in social cognitive abilities, particularly regarding autism spectrum conditions and alexithymia, while maintaining a strong foundation in experimental cognitive psychology methods. Philip Leverhulme Prize in Psychology from the Leverhulme Trust (2015) Fellow of the Higher Education Academy Dr. Catmur has secured significant research funding from major organizations including the Royal Society, Economic and Social Research Council, Experimental Psychology Society, John Templeton Foundation, and Wellcome Trust. She has led two major research projects: 'The Role of Cultural Evolution in Human Understanding' (2022-2024, John Templeton Foundation) and 'Mirroring intentions? Establishing the contribution of mirror neurons to action understanding' (2016-2019, Leverhulme Trust). Her work has been widely disseminated through numerous peer-reviewed publications and has gained attention in both academic and public spheres. Dr. Catmur is actively involved with the IoPPN Virtual Reality Research Lab, a world-leading multidisciplinary group dedicated to VR-based research, assessment, and treatments to improve mental health and enhance well-being. She also contributes to the Research Centre for Technology and the Body, exploring how embodied technology shapes human experience from basic tools to modern interfaces.

James Danckertمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Boredom
• Mental Model Updating
• +۳ مورد دیگر

James Danckert is a Professor in the Department of Psychology at the University of Waterloo, where he also serves as the Cognitive Neuroscience Area Head. He is cross-appointed to the Research Institute in Aging and leads the Danckert Attention and Action Group (Danckert Lab). His research spans cognitive neuroscience with particular focus on understanding the mechanisms and brain states that give rise to boredom and mental model updating. Dr. Danckert earned his BA from Melbourne University (Australia), followed by his MA and PhD from La Trobe University (Australia). His academic journey has positioned him as a leading expert in cognitive neuroscience with a specific emphasis on boredom psychology and attention mechanisms. His primary research interests include the cognitive and neural mechanisms of boredom, particularly in individuals with traumatic brain injuries, and mental model updating in relation to neglect syndrome. Danckert's work explores boredom through behavioral tasks like foraging, sustained attention tasks, and executive control tasks, utilizing neuroimaging techniques such as fMRI and tDCS. His mental model updating research involves working with stroke patients (with access to a database of over 800 patients), fMRI, and computational modeling. Analysis of Dr. Danckert's most recent publications reveals a continued focus on boredom and mental model updating, with increasing interdisciplinary approaches incorporating computational modeling, AI, and genetic perspectives. His work bridges cognitive psychology, neuroscience, and clinical applications, with particular emphasis on how boredom relates to attention, agency, and decision-making processes. Dr. Danckert has received significant recognition for his work, including: Former Canada Research Chair (Tier II) in Cognitive Neuroscience Recipient of the 40 Under 40 Award from the Region of Waterloo As a mentor, Dr. Danckert supervises graduate students in the Psychology Department at Waterloo, teaching advanced courses such as Psych 783: Neuroimaging and Cognition. His research is supported by prestigious funding sources including the Natural Sciences and Engineering Research Council (NSERC) and the Canada Foundation for Innovation (CFI). The Danckert Lab maintains a comprehensive research program with two main streams: boredom research and mental model updating. The lab utilizes diverse methodologies including behavioral testing, neuroimaging, computational modeling, and collaborations with experts in evolutionary genetics. The lab's work has significant implications for understanding cognitive processes in both healthy individuals and those with neurological conditions.