جست‌وجوی استاد و پژوهشگر

• Cognitive Neuroscience
• Perception
• Decision-Making
• +۳ مورد دیگر

Prof. Floris de Lange is a Professor at the Donders Institute for Brain, Cognition and Behaviour, Radboud University, and holds a part-time W3-Professorship in Cognitive Computational Neuroscience at the University of Bonn. His research focuses on understanding how top-down factors like goals, attention, expectations, and prior knowledge shape perception, cognition, and decision-making. He uses behavioral and neuroimaging techniques (MEG, fMRI, TMS) to study these processes in healthy and pathological brains. Key research themes include predictive perception, attention, and the neural mechanisms underlying decision-making. His work has been supported by prestigious grants such as the Vici and ERC Consolidator Grants. He teaches courses on Attention and Prediction, Cognitive Control, and Neurophysiology of Cognition and Behaviour. Education: Not explicitly stated in the provided text. Awards: Vici Grant (NWO), ERC Consolidator Grant, Ammodo Science Award, and others. Labs/Teams: Leads the Predictive Perception and Cognition group within the Donders Institute. His research highlights the brain’s predictive nature, demonstrating how expectations modulate sensory processing in early visual cortex and influence decision-making. He collaborates internationally, including an adversarial testing project on theories of consciousness.

Peng Wangمشاهده پروفایل

استاد مهمان

• Mental Health
• Emotion Dynamics
• Child and Adolescent Development
• +۳ مورد دیگر

Peng Wang is a Visiting Professor at the Department of Philosophy of the Sciences within the Faculty of Humanities at Vrije Universiteit Amsterdam. His academic qualifications include a PhD in Language and Emotion from VU University Amsterdam, and advanced studies in Linguistics, Education Research, and Public Health Statistics from Missouri State University, the University of Edinburgh, and the University of Oxford. His research focuses on interdisciplinary topics such as mental health interventions, emotion dynamics in education, neurodiversity advocacy, and healthcare communication. Key areas include transdiagnostic mental health approaches, ecological momentary assessment frameworks, and the integration of AI with neurotechnological research. Recent publications explore innovative methods for mental health monitoring (e.g., trimodal emotion assessment systems), universal school-based interventions for children, and the neuroethical implications of neurodiversity research. His work bridges philosophy of science with applied research in healthcare and education systems. No formal awards are listed, though his research has garnered attention across multiple platforms including Mendeley and Bluesky. Collaborations span global institutions with a focus on child mental health and healthcare professional wellbeing.

David Terburgمشاهده پروفایل

دانشیار

• Social Neuroscience
• Psychoneuroendocrinology
• Fear Processing
• +۲ مورد دیگر

David Terburg is Associate Professor in Social Neuroscience at Utrecht University's Department of Psychology (Faculty of Social and Behavioural Sciences). His research examines neurobiological mechanisms of social behavior using multimodal approaches including hormone administration, fMRI, and lesion studies. His research focuses on: Neural basis of social motivation and aggression Amygdala function in threat processing and escape behaviors Hormonal modulation of social decision-making Cross-species validation of social neuroscience findings Analysis of his publications shows strong emphasis on the basolateral amygdala's role in rapid threat responses, and hormonal influences (testosterone, oxytocin) on social cognition. Recent work develops neurocomputational models of cerebellum-amygdala interactions. Scientific awards include: NWO Veni Award (2013) for research on neuroendocrine mechanisms of defense behaviors He teaches courses in neuropsychology and social neuroscience, employing methods like eye-tracking and psychophysiology. His lab uses pharmacological interventions and neuroimaging to study clinical populations including psychopathy and social anxiety. Research is supported by Dutch Science Foundation grants and involves international collaborations across Europe and South Africa.

Karl J. Fristonمشاهده پروفایل

استاد

• Neuroscience
• Radiology and Medical Imaging
• Computational Neuroscience
• +۴ مورد دیگر

Karl J. Friston is Professor of Imaging Neuroscience and Wellcome Principal Research Fellow at the Faculty of Brain Science, University College London. He serves as Scientific Director of the Wellcome Trust Centre for Neuroimaging and has been a leading figure in computational neuroscience for decades. Friston previously served as President of the international Organization of Human Brain Mapping in 2000 and has received numerous prestigious awards for his groundbreaking work. Professor Friston's research centers on theoretical neuroscience with a focus on the free energy principle , active inference , and predictive coding frameworks. His work spans multiple disciplines including neuroimaging methodology , computational psychiatry , and cognitive neuroscience . Friston has developed statistical approaches like Statistical Parametric Mapping (SPM) that have become standard tools in brain imaging research worldwide. His theoretical contributions provide unifying frameworks for understanding perception, action, and consciousness from a computational perspective. Analysis of Friston's recent publications reveals continued innovation in applying mathematical frameworks to complex neuroscience questions. His work increasingly bridges theoretical neuroscience with clinical applications in psychiatry and expands into artificial intelligence, exploring how brain principles can inform machine learning. The articles demonstrate consistent development of the free energy principle across diverse domains from psychedelic drug action to climate change impacts on brain health. Minerva Golden Brain Award (2003) Fellow of the Royal Society (2006) Medal, Collège de France (2008) Honorary Doctorate from the University of York (2011) Fellow of the Society of Biology (2012) As Scientific Director of the Wellcome Trust Centre for Neuroimaging, Friston leads a major research program that has secured substantial funding from the Wellcome Trust and other major research bodies. His theoretical frameworks have generated numerous research projects worldwide, influencing both basic neuroscience and clinical applications. Friston's work has been particularly influential in precision psychiatry, where computational approaches are being applied to understand and treat mental disorders through frameworks like the 'Bayesian Dysconnections' model. Friston is based at the Wellcome Trust Centre for Neuroimaging at University College London, a leading institution for brain imaging research. His work involves extensive collaborations across multiple disciplines and institutions, bringing together neuroscientists, physicists, mathematicians, and clinicians to advance our understanding of brain function through advanced imaging and computational techniques.

Eric Postmaمشاهده پروفایل

استاد

• Artificial Intelligence
• Cognitive Science
• Pattern Recognition
• +۶ مورد دیگر

Eric Postma is a Full Professor of Artificial Intelligence at the Tilburg School of Humanities and Digital Sciences , specifically within the Department of Cognitive Science and Artificial Intelligence . He also holds a position at the Jheronimus Academy of Data Science in 's-Hertogenbosch, a collaboration between Tilburg University and Eindhoven University of Technology. Research Focus: Pattern recognition in humans and machines, with applications spanning art authentication, exoplanet detection, and medical AI (particularly glioma patient outcomes). Projects: Principal investigator in healthcare AI initiatives like predictive modeling for post-surgical cognitive function and co-investigator in multi-institutional projects like STEADFAST (swarm robotics for first responders) and MEGaNorm (brain dynamics modeling). Leadership: Member of SIGAI, IPN, Lorenz Center Computational Science Board, and advisory bodies like Kennisnet and CLAIRE. Research Trends: His recent publications emphasize interdisciplinary applications of AI, including dataset creation for pediatric body measurement analysis, vision transformers for art authentication, and fMRI data augmentation techniques. Key themes include ethical AI deployment, human bias vs. machine objectivity, and sustainability-focused AI through initiatives like the ILUSTRE project in Curaçao. Collaborations: Works with institutions across neuroscience (Rutten, Gehring), data science (Güven, Šafář), and engineering (Cuijpers). His research bridges theoretical AI with practical implementations in healthcare, cultural heritage, and environmental sustainability.

J.C.J. (John) Hoeksمشاهده پروفایل

استاد

• Communication Studies
• Environmental Studies
• Sustainability Transitions
• +۴ مورد دیگر

Prof. Dr. J.C.J. (John) Hoeks is a Full Professor of Communication and Information Sciences at the University of Groningen's Faculty of Arts, affiliated with the Discourse and Communication department. His research focuses on persuasive communication, environmental sustainability, health literacy, and narrative persuasion. He serves on the Faculty Board and has expertise in interdisciplinary studies bridging communication science, environmental policy, and cognitive neuroscience. Key research areas include analyzing the impact of communication strategies on dietary behavior, sustainability transitions, and health interventions. He explores how narrative formats, prosody, and visual elements influence message reception, with notable work on plant-based food consumption norms, cell-based meat acceptance, and smoking cessation narratives. His work often addresses the intersection of language processing and environmental ethics, incorporating experimental and computational methods. Publications span topics from neurocomputational models of language comprehension to systematic reviews of health literacy interventions. Media engagements highlight his role as an expert commentator on sustainable food initiatives and animal ethics in sustainability frameworks. His research emphasizes practical applications, such as improving doctor-patient communication through visual tools and designing effective public health campaigns. Labs/Teams: Active in the Discourse and Communication research group, collaborating on projects integrating cognitive science with societal issues. Supervises research on communication technologies, environmental policy communication, and narrative persuasion mechanisms.

Max Verbersمشاهده پروفایل

پژوهشگر

• Biomedical Diagnostics
• Hyperspectral Imaging
• Artificial Intelligence in Neurosurgery
• +۴ مورد دیگر

Max Verbers is a researcher in Electrical Engineering affiliated with the Biomedical Diagnostics Lab. His work focuses on integrating artificial intelligence with advanced imaging techniques to improve neurosurgical outcomes. Intracranial Tumor Analysis Surgical Technique Innovation AI-driven Medical Diagnostics 3D Decision Support Systems Recent research outputs (2024-2025) highlight his contributions to hyperspectral imaging for brain tumor detection and AI-based neurosurgical tools. Collaborations include international teams across engineering and medical disciplines. As part of the STRATUM Consortium, he develops computational frameworks for intraoperative tumor delineation and real-time surgical guidance. His work bridges computer science with healthcare technology applications.

Ellen de Bruijnمشاهده پروفایل

استاد

• Neurocognitive Clinical Psychology
• Social Cognition
• Performance Monitoring
• +۶ مورد دیگر

Ellen de Bruijn is a Professor of Neurocognitive Clinical Psychology at Leiden University's Department of Clinical Psychology, within the Faculty of Social Sciences. Her research focuses on cognitive and neural mechanisms of action-control processes, particularly social performance monitoring and the impact of hormonal fluctuations across the female lifespan. She leads the Social Performance Monitoring Lab and is affiliated with the Leiden Institute for Brain and Cognition (LIBC). Her work integrates behavioral experiments, EEG, fMRI, and psychopharmacology to study adaptive behavior in social contexts, including studies on obsessive-compulsive disorder, psychopathy, depression, and schizophrenia. Notable grants include an ERC Consolidator Grant (2023) for female lifespan research and a Vici Grant (NWO, 2023). She advises PhD candidates like Federica Lucchi and Selin Topel and collaborates internationally. Key research themes include hormonal fluctuations' effects on neurocognition (FLAME initiative), social resilience, and interdisciplinary mental health research. Her lab explores topics like oxytocin's role in social behavior, dopamine's influence on reinforcement learning, and ERP correlates of error processing in clinical populations. Awards: ERC Consolidator Grant (2023), Vici Grant (2023), Heinz-Heckhausen Young Investigator Award (2016) Labs/Teams: Social Performance Monitoring Lab, FLAME initiative, Leiden Institute for Brain and Cognition Grants: EU-funded ERC project, NWO Vici, Lorentz Workshop sponsorships

Jan Broersenمشاهده پروفایل

استاد

• Artificial Intelligence
• Logic
• Ethics of AI
• +۴ مورد دیگر

Prof. Jan Broersen is a Professor of Logical Methods in Artificial Intelligence at Utrecht University's Department of Philosophy and Religious Studies, within the Faculty of Humanities. He holds the chair in 'Logic-based methods in artificial intelligence' and delivered his inaugural lecture in 2020. His research focuses on responsible AI, knowledge representation, and logic theories of agency, integrating mathematical logic with philosophical inquiry. Education & Background: PhD in Mathematics, Logic, and Computer Science Interdisciplinary expertise bridging philosophy, computer science, and ethics Research Interests: Broersen investigates ethical AI frameworks, formal models of agency, and computational accountability. He develops stit-logic frameworks to analyze moral responsibility, practical knowledge, and the interaction between intentions and outcomes. His work addresses challenges in AI ethics, including explainability, accountability, and the design of socially responsible systems. Professional Activities: Supervised PhD candidates in AI ethics and logic Organized conferences like the Mathematical Ability Conference (2019) Member of Research Foundation - Flanders (FWO) network (2016-2021) Keynote speaker at events addressing AI ethics, legal responsibility, and cognitive systems Labs & Collaborations: Involved in the REINS Project (Responsible Intelligent Systems), exploring AI accountability mechanisms. Collaborates with interdisciplinary teams on normative systems and computational ethics.

Christos Strydisمشاهده پروفایل

دانشیار

• High-Performance Computing (HPC)
• Hardware Acceleration
• Reconfigurable Computing
• +۶ مورد دیگر

Dr. Ir. Christos Strydis is an Associate Professor jointly affiliated with the Erasmus Medical Center (Neuroscience department) and Delft University of Technology (Quantum & Computer Engineering department). He is also the founder and head of the Neurocomputing Laboratory and a senior member of the IEEE . His roles span academic research, engineering leadership at Neurasmus BV , and teaching at both institutions. BSc, MSc, and PhD in Computer Engineering from the Technical University of Crete and Delft University of Technology 2011–present: Post-Doctoral Researcher, Chief Engineer, and faculty member at Erasmus Medical Center 2016–present: Assistant and Associate Professor at Erasmus Medical Center Dr. Strydis’s research lies at the intersection of neuroscience and computer engineering , focusing on high-performance computing (HPC) , low-power embedded systems , and functional ultrasound (fUS) imaging . His work bridges hardware acceleration, reconfigurable computing, and brain simulations to advance neural implants and neuroimaging technologies. His recent publications highlight innovations in exascale FPGA architectures for brain simulations, AI chip performance analysis , real-time spike detection algorithms , and secure health data integration via cloud HPC. Themes span from hardware security to cerebellar signal processing, emphasizing scalability and energy efficiency. At Erasmus and Delft, he supervises PhD, MSc, and BSc students , teaches bachelor- and master-level courses , and leads grants funded by the ICT Delft Research Centre , Google Inc. , and national/EU projects. His lab, the Neurocomputing Laboratory , focuses on translating computational neuroscience into clinical applications.

Harm Brouwerمشاهده پروفایل

دانشیار

• Neurocomputation of Language
• Neurocomputational Modeling
• Cognitive Science
• +۳ مورد دیگر

Harm Brouwer is an Associate Professor at Tilburg University's School of Humanities and Digital Sciences, within the Department of Cognitive Science and AI. His research focuses on neurocomputational modeling of language comprehension, particularly examining electrophysiological responses such as the N400 and P600 potentials. He explores how these neural markers reflect lexical retrieval and syntactic integration processes during reading and listening. Key research themes include the interplay between surprisal-based expectation and neural correlates of language processing, with applications in computational psycholinguistics and diagnostic tools for neuropsychiatric disorders. His work integrates computational models with neurophysiological data to bridge gaps between theoretical linguistics and cognitive neuroscience. Brouwer has contributed to projects like the 'Normative Range of P600 Morphology' (2025–2027), aimed at developing diagnostic tools for mental health through electrophysiological biomarkers. He has been recognized with the Robert J. Glushko Prize (2015) for his dissertation on cognitive science. His publications span over 15 years, emphasizing the biphasic nature of N400-P600 interactions, computational semantics, and the role of neural networks in linguistic processing. His work often bridges formal semantics with empirical neuroscience, advancing understanding of how language is processed in the brain.

• Neuroscience
• Clinical Neuropsychology
• Emotion Processing
• +۴ مورد دیگر

Katharina Görlich is a researcher affiliated with the Faculty of Behavioural and Social Sciences and the Faculty of Medical Sciences at the University of Groningen. Her work focuses on neuroscience, clinical neuropsychology, and emotion processing, with a particular emphasis on alexithymia and its intersections with social hierarchy, hormonal abnormalities, and cutaneous disease morbidity. Schools : Faculty of Behavioural and Social Sciences, Faculty of Medical Sciences Department : Department of Clinical & Developmental Neuropsychology Email : k.s.gorlich@umcg.nl Research Interests include: Social hierarchy and emotion perception Neurocomputational mechanisms in fear-biased learning Hormonal and physiological correlates of alexithymia Impact of alexithymia on dermatological and psychiatric conditions Neuroimaging (fMRI) studies on cognitive-emotional interactions Behavioral neuroscience in social contexts Recent Publications highlight her work on: Dynamic interplay of social hierarchy and fairness perception (2025) Neural sensitivity to hierarchy in competitive settings (2024) Hormonal dysregulation in alexithymia (2023) Computational models of fear adaptation (2023) Alexithymia's role in dermatological morbidity (2022) Neuroimaging of inhibitory control in Parkinson's patients (2022)

Ksenia Fedorovaمشاهده پروفایل

مدرس

• aesthetics
• art theory
• art and science
• +۸ مورد دیگر

Ksenia Fedorova is a University Lecturer at Leiden University's Centre for the Arts in Society (LUCAS), where she is affiliated with the Modern and Contemporary cluster and the Environmental Humanities sub-cluster. Her academic work bridges philosophy, media studies, and artistic practice, with a particular focus on the intersections between aesthetics, digital culture, and technological experience. Her educational background is impressive and international, with a PhD in Philosophy/Aesthetics from institutions in St. Petersburg and Ekaterinburg, Russia (2014), and a PhD in Cultural Studies from the University of California, Davis (2017). She also holds an MA in Philosophy from Ural State University, Russia (2005) and an MA in Art History from the University of Colorado, Boulder (2007). Dr. Fedorova's research interests span aesthetics , art theory , art and science , digital culture , media art , new media , phenomenology , and the human digital world , with particular emphasis on affect theory , the technological sublime , and locative media . Her work explores how digital technologies reshape human perception, cognition, and our relationship with the environment. Her recent publications demonstrate a consistent focus on the intersections between artistic practice and scientific inquiry, particularly examining how media technologies create new forms of perception and experience. Her book "Tactics of Interfacing: Encoding Affect in Art and Technology" (MIT Press, 2020) represents a significant contribution to the field, while her numerous journal articles explore topics ranging from sensory substitution to proprioception in digital environments. Her work frequently examines the "technological sublime" - the awe-inspiring, boundary-pushing experiences created by new media technologies. Short-listed for Innovation and Kandinsky awards for "Media: Between Magic and Technology" (2014) As an educator, Dr. Fedorova teaches across multiple programs including Art History (BA), Arts, Media and Society (BA), Urban Studies (BA), and several MA programs including Arts and Culture, Contemporary Art in a Global Perspective, and Museums and Collections. She has supervised PhD candidates including Jose Hopkins Brocq and Anders Ottosson. Her research projects often involve interdisciplinary collaborations that bridge artistic practice with scientific inquiry, particularly examining how locative media, augmented reality, and other digital technologies create new forms of perception and environmental awareness. Her work suggests that these technologies don't merely mediate our experience but fundamentally transform how we relate to ourselves, each other, and the world around us.

Emile Aartsمشاهده پروفایل

استاد

• Artificial Intelligence
• Computer Science
• Optimization Algorithms
• +۵ مورد دیگر

Emile Aarts is a Professor at Tilburg University, specializing in Artificial Intelligence and Computer Science. His research focuses on ambient intelligence, optimization algorithms (e.g., simulated annealing), neural networks, and the societal impacts of technological and health crises. Notably, he authored a farewell speech book on artificial intelligence in 2022 and edited a volume on pandemic-driven societal transformation in 2021. Education: Doctorate (dr.) and professorship in Computer Science. His research fingerprints include interdisciplinary topics like multilayer perceptrons, scheduling problems, and the intersection of technology and policy. Recent work addresses societal adaptation during crises, particularly the global response to the COVID-19 pandemic. Publications span books, edited volumes, and peer-reviewed chapters. He contributed to a conference on optimizing societal impact through interdisciplinary research in 2016.

• Cognitive Neuroscience
• Working Memory
• Temporal Perception
• +۳ مورد دیگر

Elkan Akyurek is a Professor of Cognitive Neuroscience and Chair of the Department of Experimental Psychology at the University of Groningen , Netherlands. His research focuses on understanding the neural mechanisms underlying working memory, temporal integration, and visual attention, with a particular emphasis on the interplay between perception and memory. He leads a lab investigating topics such as concealed information detection, adaptive temporal processing, and the neurophysiological underpinnings of cognitive functions. Education & Affiliations : While specific educational details are not explicitly provided, his academic trajectory includes leadership roles at the University of Groningen and collaborations with institutions like the Ruhr-University Bochum and University of Oxford. He is affiliated with the Dutch Society for Brain and Cognition (NVP) and has organized conferences and symposia. Research Interests : Dr. Akyurek’s work spans cognitive neuroscience, computational modeling of memory systems, and electrophysiological techniques (EEG/MEG). His lab employs methods like impulse perturbation and perceptual acceleration to study working memory maintenance, temporal integration, and hidden knowledge detection. Key areas include: Dynamic neural coding in working memory Temporal perception and attentional control Cross-modal sensory integration Effects of dietary supplements (e.g., cocoa flavanols) on cognition Awards & Grants : He has received the Snijders-Kouwer Award (2018), Early Career Publication Award from ESCoP (2018), and a grant from the Open Research Area (ORA) for collaborative work on hidden brain states. His lab has secured funding through the Police and Science program, NWO grants, and EU initiatives. Labs & Teams : The Akyurek lab at the University of Groningen includes PhD students, postdocs, and international collaborators. Current projects involve building EEG-based models of working memory and advancing concealed information detection techniques for forensic applications. Collaborations extend to researchers like Jelmer Borst and Nikolai Axmacher.