جست‌وجوی استاد و پژوهشگر

• Artificial Intelligence
• Neuroscience
• Cognitive Sciences
• +۴ مورد دیگر

Dr. Pedro Mediano is a Lecturer in Computing at Imperial College London's Department of Computing (Faculty of Engineering). His research focuses on complex systems, information theory, and their applications in neuroscience, artificial intelligence, and cognitive science. He is affiliated with the Artificial Intelligence Network and leads interdisciplinary projects exploring synergistic interactions in brain dynamics, psychedelic neurodynamics, and causal emergence. Key research areas include quantifying high-order interactions in complex systems, developing information-theoretic tools for analyzing neural data, and modeling consciousness through integrated information theory. Mediano has pioneered frameworks like the Shannon invariants for scalable information decomposition and developed software tools such as THOI for analyzing higher-order interactions. Recent work examines how psychedelics alter brain entropy, the role of metastability in cognitive processes, and the computational principles underlying causal emergence in machine learning models. His studies integrate mathematical rigor with empirical neuroscience, bridging theoretical and applied domains. Mediano has collaborated on whole-brain models of psychedelic-induced neural complexity and explored the interplay between oxygen metabolism and brain evolution. He holds affiliations with Imperial's AI Network and regularly publishes in top journals across computational neuroscience and complexity science. Current projects include developing open-source tools for information decomposition and investigating the neural correlates of consciousness under altered states.

Lisa Feldman Barrettمشاهده پروفایل

استاد

• Affective Neuroscience
• Psychology of Emotion
• Social and Personality Psychology
• +۴ مورد دیگر

Lisa Feldman Barrett is a University Distinguished Professor of Psychology at Northeastern University with an appointment at Massachusetts General Hospital (MGH). She leads the Interdisciplinary Affective Science Laboratory (IASLab), studying the brain and body mechanisms underlying emotion, motivation, and cognition. Her work integrates psychology, neuroscience, anthropology, and computational methods to challenge traditional emotion theories. She serves as Chief Science Officer for MGH’s Center for Law, Brain and Behavior and actively engages in public science communication through books, lectures, and media. **Research Focus**: Her lab develops systems-level models of affective neuroscience, emphasizing predictive processing, interoception, and cultural influences on emotion. She critiques universal facial expression theories and advocates for a constructionist model of emotion as contextually constructed experiences. **Awards & Honors**: Recipient of the NIH Pioneer Award, APS Mentor Award for Lifetime Achievement, and APA’s Distinguished Scientific Contribution Award. Elected Fellow of the American Academy of Arts and Sciences and Royal Society of Canada. Former President of the Association for Psychological Science (APS). **Key Contributions**: Pioneered the theory of constructed emotion, emphasized the role of interoception in emotion, and demonstrated variability in facial expressions across cultures. Her work bridges basic science and clinical applications, including mental health and legal contexts. **Lab & Teams**: IASLab collaborates across disciplines, with sites at Northeastern and MGH. Current projects explore neural mechanisms of emotion, allostasis, and the impact of aging on memory and resilience.

Boris Gutmanمشاهده پروفایل

استادیار

• Medical image analysis
• Neuroimaging
• Imaging biomarkers of neurodegenerative disease
• +۴ مورد دیگر

Boris Gutman is an Assistant Professor of Biomedical Engineering at Illinois Institute of Technology , affiliated with the Armour College of Engineering . He holds a Ph.D. and B.S. in Biomedical Engineering and Applied Mathematics respectively from the University of California, Los Angeles (UCLA) .

• Machine Learning
• Network Theory
• Data Mining
• +۳ مورد دیگر

Constantine Dovrolis is a Professor at the School of Computer Science, Georgia Institute of Technology, and Director of the Center for Computational Science and Technology (CaSToRC) at The Cyprus Institute. He holds a BEng from the Technical University of Crete (1995), M.S. from the University of Rochester (1996), and Ph.D. from the University of Wisconsin-Madison (2000). His research bridges Network Theory, Machine Learning, and Neuroscience, focusing on neuro-inspired architectures and structural adaptation in AI systems. His work includes pioneering contributions to sparse neural networks, continual learning through structural adaptation, and hierarchical modularity in neural networks. His research has been supported by NSF, NIH, DOE, DARPA, Google, Microsoft, and Cisco, resulting in over 15,000 citations and an h-index of 56. Affiliations: Georgia Tech (Primary), Cyprus Institute (Director of CaSToRC) Research Themes: Neuro-inspired AI, Network Science, Machine Learning Theory, Computational Neuroscience Grants: Over $10M in funding from U.S. agencies and industry partners

• Cognitive Neuroscience
• Autism Spectrum Disorder
• Functional MRI
• +۷ مورد دیگر

Susan Bookheimer is a distinguished Professor of Cognitive Neuroscience and Psychiatry and Biobehavioral Sciences at the David Geffen School of Medicine at UCLA. She holds the Joaquin Fuster Professorship in Cognitive Neuroscience and is affiliated with multiple research centers including the Center for Autism Research and Treatment (CART), Staglin Center for Cognitive Neuroscience, Tennenbaum Center for the Biology of Creativity, and Brain Research Institute. Dr. Bookheimer's research spans cognitive neuroscience with a focus on autism spectrum disorder, functional MRI methodology, language processing, memory function, and sensory processing differences. Her work investigates neural mechanisms underlying neurodevelopmental disorders, particularly autism, using advanced neuroimaging techniques to identify early biomarkers and understand neural connectivity patterns. She has made significant contributions to understanding how brain networks develop and function in typically developing children and those at risk for autism. Her extensive publication record demonstrates expertise in functional MRI applications across diverse populations including infants at risk for autism, individuals with epilepsy, and aging adults. Her research often examines how brain connectivity relates to cognitive and behavioral outcomes, with particular attention to language processing, sensory reactivity, and social cognition in neurodevelopmental conditions. Dr. Bookheimer leads and participates in numerous collaborative research initiatives including the ACE GENDAAR Network and has contributed to understanding the neural basis of autism through genetic, imaging, and behavioral approaches. Her work bridges basic neuroscience with clinical applications, aiming to improve diagnostic approaches and interventions for neurodevelopmental disorders.

• Biomedical Engineering
• Neuroimaging
• Brain Imaging
• +۳ مورد دیگر

Stephen Smith is a Professor of Biomedical Engineering at the University of Oxford . He leads the Analysis Group at the Wellcome Centre for Integrative Neuroimaging, focusing on advanced methodologies for functional and structural brain imaging data. His work bridges biomedical engineering and neuroscience, with a strong emphasis on population-scale neuroimaging. Research Highlights : Population neuroscience, brain aging, multimodal MRI, and software development (FSL package). Collaborations : Key contributions to UK Biobank and CONVALESCENCE studies. Recent Publications (2024–2025) demonstrate expertise in neuroimaging analysis, including fetal brain mapping, post-COVID cognitive deficits, and big data applications for clinical translation. Research spans both methodological innovation and clinical neuroimaging. Email : steve@fmrib.ox.ac.uk

Wei-Chung Allen Leeمشاهده پروفایل

دانشیار

• Neuroscience
• Connectomics
• Neural Circuits
• +۳ مورد دیگر

Wei-Chung Allen Lee, PhD, is an Associate Professor of Neurology and Neurobiology at Harvard Medical School. His research focuses on understanding how neural circuits enable behavior through functional connectomics, combining advanced imaging, machine learning, and computational modeling. The Lee Lab develops tools like X-ray holographic nanotomography and GridTape for high-resolution neural structure analysis. Key interests include circuit principles in Drosophila, cerebellar interneurons, and synaptic wiring in decision-making regions. His work explores structural-functional relationships in networks, conservation across species, and developmental constraints on neural architecture. Recent studies highlight connectomic reconstructions in Drosophila, cerebellar disinhibition mechanisms, and blood-brain barrier heterogeneity. Methodological innovations in microscopy and image restoration underscore his lab’s interdisciplinary approach. The Lee Lab is located at 220 Longwood Avenue, Boston, MA, and collaborates on large-scale neuroimaging pipelines like the Open Connectome Project.

Uwe Meyer-Baeseمشاهده پروفایل

دانشیار

• Digital Signal Processing
• FPGA Design
• VLSI Systems
• +۴ مورد دیگر

Uwe Meyer-Baese is an Associate Professor in the Electrical and Computer Engineering Department at the FAMU-FSU College of Engineering. He holds a Ph.D. (Dr.-Ing. habil) from Darmstadt University of Technology, Germany. His research focuses on Digital Signal Processing with FPGAs, VLSI design, and medical imaging applications. He has authored over 100 publications, 5 books, and holds 3 patents. He has been recognized with awards such as the Humboldt Fellowship (2009) and the FAMU-FSU Teaching Award (2007). Education History: Dr.-Ing. habil (Venia Legendi), Darmstadt University of Technology, Germany, 2003 Ph.D. (Dr. Ing.), Darmstadt University of Technology, Germany, 1995 M.S., Darmstadt University of Technology, Germany, 1989 Research Interests: FPGA-based embedded systems and real-time DSP Low-power VLSI architectures Medical image processing (e.g., breast MRI, brain tumor analysis) Hardware security and intellectual property protection Graph theory applications in biological networks Recent work includes advancements in FPGA implementations for microprocessor systems, brain network controllability studies, and AI-driven medical diagnostics. His lab focuses on bridging hardware design with biomedical applications, emphasizing practical implementations through FPGA platforms. Awards: Max-Kade Award in Neuroengineering (1997) ECE Department Research Award (2005) Humboldt Fellowship (2009) FAMU-FSU Teaching Award (2007) He has advised over 60 master’s theses and contributed to major grants in FPGA-based medical systems. His book Digital Signal Processing with Field Programmable Gate Arrays is a widely used textbook in the field.

Timothy Verstynenمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Cognitive Science
• Computational Neuroscience
• +۱ مورد دیگر

Timothy Verstynen is a Professor of Psychology and Neuroscience Institute at Carnegie Mellon University, affiliated with the Dietrich College of Humanities and Social Sciences. His research focuses on cognitive neuroscience, cognitive science, computational modeling, and learning science. He investigates how neural pathways regulate action planning, skill learning dynamics, and structure-function relationships in the brain. His work integrates psychophysics, computational models, and neuroimaging techniques (fMRI, TMS, diffusion imaging). Key research themes include: 1) Action selection and stopping mechanisms under sensory input; 2) Neurobiological bases of skill acquisition timelines; 3) White matter architecture's role in cognitive functions. Recent studies explore links between brain structure, cardiovascular health, and decision-making processes using multimodal imaging and machine learning. Notable publications address cortico-basal ganglia-thalamic circuits' role in decision policies, stress-brain connectivity, and reward-based learning. His CoAx Lab develops tools like CBGTPy for modeling decision-making systems. Research spans neuroimaging methodological advancements (e.g., local connectome fingerprinting) and translational health neuroscience projects.

Michael N. Smolkaمشاهده پروفایل

استاد

• Addictive Behavior
• Neuroscience
• Psychiatry
• +۷ مورد دیگر

Prof. Michael N. Smolka is a Professor in the Department of Psychiatry and Psychotherapy, focusing on neuro-cognitive mechanisms underlying addictive behaviors. His research employs longitudinal approaches to study addiction development, maintenance, and recovery, integrating computational modeling of behavior with functional MRI to map brain systems. Key areas include executive functions, decision-making, learning, and motivation. He contributes to research consortia such as SFB 940 and TRR 265. Research interests emphasize brain-behavior interactions in mental health, with studies on genetic risk factors, environmental influences, and neuroimaging correlates of psychiatric disorders. His work bridges clinical psychiatry with cutting-edge computational methods, aiming to develop diagnostic tools and personalized interventions. Recent studies explore machine learning applications for predicting substance use disorders and eating disorders, alongside investigations into developmental trajectories of brain morphology and cognitive control mechanisms. Publications highlight interdisciplinary approaches, linking genetic, environmental, and neurobiological factors to addictive behaviors and mental health outcomes. His contributions to frameworks like brain-derived nosology and diathesis-stress models reflect his commitment to advancing translational research in psychiatry.

• Computational Neuroscience
• Neuroimaging
• Connectomics
• +۱۰ مورد دیگر

Professor Michael Breakspear is an internationally recognized leader in computational neuroscience, brain imaging, and translational neurotechnology at the University of Newcastle's School of Psychological Sciences. His research bridges complex systems theory, mathematical modeling, and clinical neuroscience to advance understanding of brain dynamics in health and disease through interdisciplinary collaboration across mathematics, physics, neuroimaging, psychiatry, and artificial intelligence. Professor Breakspear holds a Doctor of Philosophy from the University of Sydney, along with multiple undergraduate degrees including a Bachelor of Medicine and Bachelor of Surgery. His academic journey includes professorial appointments at the University of Sydney (School of Physics), University of Queensland (School of Psychiatry), and University of Western Sydney (School of Psychiatry), where he progressed from Post-doctoral Research Fellow to Associate Professor. Current: Professor, University of Newcastle, School of Psychological Sciences 2017-present: Principal Research Fellow, National Health & Medical Research Council 2017-present: Senior Scientist and Head, QIMR Berghofer Medical Research Institute 2012-2017: Professor (adjunct), University of Sydney, School of Physics 2011-present: Professor (adjunct), University of Queensland, School of Psychiatry 2007-2012: Associate Professor, University of Western Sydney, School of Psychiatry Professor Breakspear's research program integrates expertise across mathematics, physics, neuroimaging, psychiatry, and artificial intelligence. His core expertise includes computational neuroscience (modeling brain dynamics using nonlinear systems theory), neuroimaging and connectomics (pioneering methods to analyze brain networks), brain disorders and mental health (applying computational models to disorders like schizophrenia and bipolar disorder), and neurotechnology and AI (developing machine learning techniques for imaging biomarkers). His recent publications demonstrate a strong focus on brain dynamics, neuroimaging techniques, and applications to psychiatric and neurological disorders. His work spans theoretical frameworks to clinical applications, with particular emphasis on understanding the neural basis of mood disorders, Alzheimer's disease, and psychosis, employing advanced computational approaches to uncover fundamental principles of brain organization and dysfunction. Senior Researcher Award (2017) Principal Research Fellow, National Health & Medical Research Council (2017-present) Professor Breakspear actively collaborates with clinical researchers, engineers, and technology developers to translate theoretical frameworks into practical diagnostic and therapeutic innovations. He provides leadership in training programs at the nexus of neuroscience, mathematics, and data science, fostering the next generation of interdisciplinary researchers through mentorship and collaborative projects that bridge theoretical and clinical domains.

Daniel Baumمشاهده پروفایل

استاد پژوهشی

• Scientific Visualization
• Computational Biology
• Image Analysis
• +۶ مورد دیگر

Daniel Baum is a Research Professor and Head of the Visual Data Analysis research group at the Zuse Institute Berlin (ZIB), which is affiliated with Freie Universität Berlin. His work spans across scientific visualization, computational biology, and image analysis, with a particular focus on developing methods for analyzing complex biological structures and neural circuits. He is actively involved in multiple interdisciplinary research projects including HFSP Chitons, Geometric Learning for Single-Cell RNA Velocity Modeling, and RobustCircuit. Dr. Baum's research interests center on visual and data-centric computing approaches to solve complex problems in biology and medicine. His work bridges the gap between computational methods and biological applications, with significant contributions to cryo-electron tomography analysis, neural circuit mapping, and geometric morphometrics. He develops innovative algorithms for 3D reconstruction, image segmentation, and visualization of biological structures, from molecular to organismal scales. His publication record demonstrates consistent contributions to visualization techniques applied to biological problems, with recent work focusing on neural circuit analysis in zebrafish and Drosophila, biomechanical studies of animal structures, and advanced methods for analyzing ancient artifacts. The research shows a clear trajectory toward increasingly sophisticated multimodal data integration and machine learning approaches. Dr. Baum leads a productive research group with several key collaborators who frequently appear as co-authors on his publications, indicating a strong mentoring relationship. His projects involve substantial funding from various sources supporting interdisciplinary collaborations across biology, computer science, and engineering. His laboratory at ZIB focuses on visual data analysis for complex biological systems, with particular strength in developing computational methods for neuroscience applications and biomaterial analysis. The group maintains strong collaborations with multiple institutions working on cutting-edge imaging technologies and biological model systems.

Jan G. Bjaalieمشاهده پروفایل

استاد

• Neuroinformatics
• Digital brain atlasing
• Brain architecture and connectivity
• +۴ مورد دیگر

Jan G. Bjaalie is Professor of Neuroinformatics and Dean of Research and Innovation at the University of Oslo Faculty of Medicine . Since 2023 he heads the faculty’s research and innovation strategy, while directing the Neural Systems and Graphics Computing Laboratory at the Institute of Basic Medical Sciences. Education: 1990 Ph.D. in Neuroanatomy, University of Oslo 1986 M.D., University of Oslo Research interests revolve around collaborative and open neuroscience, digital brain atlasing, and the cyber-infrastructures that enable data sharing. He leads efforts to build next-generation atlases that integrate multi-scale brain architecture and connectivity data, and to develop ontologies and FAIR-compliant platforms for global neuroscience. Recent work emphasizes in silico integration of rodent and human imaging datasets, leveraging machine-learning registration tools and cloud-based services such as EBRAINS. The goal is to transform how brain data are stored, visualised and reused across laboratories worldwide. Scientific output & impact: A scan of publications from 2023-2025 reveals a strong focus on digital atlas frameworks, automated image registration (DeepSlice, DeMBA), open data standards (AtOM ontology), and large-scale analyses of genetic influences on brain structure in Alzheimer’s models. These works collectively advance reproducible, high-throughput neuroanatomy and cross-species translation. Grants & leadership roles: Coordinator/Partner in EU Flagships EBRAINS 2.0, BRAIN Health, Human Brain Project (2013-2026) Infrastructure Director, Human Brain Project (2018-2023) Leader of Neuroinformatics Platform & EBRAINS Data Services (2017-2023) Head of Institute of Basic Medical Sciences (2009-2016) Executive Director, International Neuroinformatics Coordinating Facility (INCF) (2006-2008) Chair, International Brain Initiative (2021-) Editorial & governance service: Founding Chief Editor Frontiers in Neuroinformatics (2007-), Section Editor Brain Structure and Function (2002-2020), member of the INCF Governing Board and EBRAINS AISBL Management Board, and numerous international advisory panels on data governance and ethics. His laboratory hosts the Norwegian Neuroinformatics Node and collaborates closely with global consortia to deliver open-access atlases, software pipelines and FAIR data standards that underpin modern neuroscience.

Josie Clowneyمشاهده پروفایل

دانشیار

• Neural Circuits
• Developmental Neuroscience
• Chemosensory Systems
• +۳ مورد دیگر

Josie Clowney is an Associate Professor in the Department of Molecular, Cellular, and Developmental Biology at the University of Michigan, where she has held faculty position since 2017. Her research investigates the genomic algorithms that construct neural circuits during development, using Drosophila as a model to study how chemosensory systems drive both instinctual behaviors and learning. She teaches Bio 172 and an upper-level seminar on cellular diversity and scientific writing, and mentors graduate students through MCDB, CMB, NGP, and BIOINF PhD programs. Her educational background includes: Ph.D. in Biomedical Sciences (2012) from the University of California, San Francisco B.S. in Cellular and Molecular Biology (2005) from the University of Michigan, where she conducted research with Cunming Duan Clowney's research centers on understanding how definitive neuronal parameters are encoded in genomic information and translated into cellular architectures. Her lab hypothesizes that developmental algorithms for learning circuits versus instinctual circuits differ fundamentally in their genomic requirements, with chemosensory circuits serving as key models. Using fruit flies for their tractable brain organization, her work bridges computational principles and biological implementation to uncover universal brain organization rules. Analysis of her 15 most recent publications (2016-2025) reveals consistent focus on Drosophila mushroom body development, neural sexual differentiation, and spatial constraints in circuit formation. Key themes include non-deterministic mechanisms diversifying cell surface expression, chromatin dynamics in circadian regulation, and how input density tunes sensory responses. Her work integrates genomics, neuroanatomy, and behavior to model how compact genomic information generates complex neural architectures. No scientific awards were mentioned in the provided text. Dr. Clowney advises graduate students through multiple PhD programs at the University of Michigan, though specific student names and grant details are not provided in the source material. Her teaching includes foundational undergraduate coursework and advanced seminars emphasizing scientific writing. The active publication record spanning 2016-2025 indicates sustained research funding supporting her lab's investigations into neural circuit development. The Clowney Lab, housed in the Biological Sciences Building (4218 BSB), employs Drosophila genetics and neuroanatomical techniques to dissect developmental algorithms of brain wiring. Current projects explore how spatial constraints structure learning circuits, mechanisms of neural sexual differentiation, and the genomic encoding of circuit diversity. The lab collaborates within Michigan's neuroscience community through the Program in Biology and participates in interdisciplinary initiatives studying brain evolution and function.

Paul Carneyمشاهده پروفایل

استاد

• Epilepsy
• Pediatric Neurology
• Neuroengineering
• +۵ مورد دیگر

Dr. Paul Carney is a Professor of Pediatrics and Neurology at the University of Missouri School of Medicine, serving as Director of the Comprehensive Pediatric Epilepsy Program and Chief of the Pediatric Neurology Division. His work uniquely integrates engineering, neuroscience, and clinical medicine to develop innovative therapies for neurological disorders, with a primary focus on epilepsy affecting over 60 million people globally. His educational background includes a Medical Degree from Universidad de Valparaiso, residency in Pediatric Neurology at Case Western Reserve University School of Medicine, and dual fellowships in Clinical Neurophysiology and Pediatric Neurology at the University of Michigan Medical School. Dr. Carney's research centers on seizure detection and prediction using nonlinear dynamical system theory, functional and structural organization of brain circuitry, control of brain hyperexcitability, and sleep disorders. He is a leading expert in epilepsy surgery/neuromodulation and neurogenetics, driving the translation of novel research into cutting-edge patient care for children with neurological conditions. His recent publications demonstrate a strong interdisciplinary approach spanning epilepsy treatment in genetic models, global health initiatives for childhood epilepsy in resource-limited settings, gene therapy for seizure control, advanced neuroimaging techniques for brain tumors, and connectivity studies in temporal lobe epilepsy. Dr. Carney has received extensive recognition for his contributions: Fellow (elected), American Epilepsy Society (2019) Charter member, NIH Acute Neural Injury and Epilepsy Study Section (2017-2021) National Professional Advisory Board Member, Epilepsy Foundation of America (2014-2021) Castle Connolly Top Doctors in America (2008-2017) B.J. and Eve Wilder Endowed Professor in Epilepsy Research (2007-2016) American Pediatric Society ‘Most Outstanding’ New Member Award (2011) American Neurological Association Fellow (2010) Faculty Research Prize in Clinical Science, University of Florida (2009) As Division Chief and Program Director, Dr. Carney mentors medical students, residents, and fellows in pediatric neurology while leading significant NIH-funded research initiatives. His work bridges clinical practice with engineering innovation to address critical gaps in neurological care. He directs the Comprehensive Pediatric Epilepsy Program, a multidisciplinary hub providing advanced care in epilepsy, stroke, sleep disorders, and neuromuscular conditions. His team focuses on translating research findings into clinical applications while expanding services to improve outcomes for children and families across Missouri.