جست‌وجوی استاد و پژوهشگر

Ashley Hugginsمشاهده پروفایل

استادیار

• Post-Traumatic Stress Disorder (PTSD)
• Anxiety Disorders
• Fear Conditioning
• +۳ مورد دیگر

Ashley Huggins serves as Assistant Professor and Clinical Director of the Cognition, Affect, and Traumatic Stress (CATS) Lab in the Department of Psychology at the University of Arizona, where she teaches advanced courses in abnormal psychology and cognitive neuroscience using cutting-edge neuroimaging methodologies. Education B.A., University of Southern California M.S., University of Wisconsin-Milwaukee Ph.D., University of Wisconsin-Milwaukee Clinical Internship in Neuropsychology, Charleston Consortium (Medical University of South Carolina and Charleston VA Medical Center) Research Focus Her work investigates the neurobiological mechanisms of PTSD and anxiety disorders through fear conditioning paradigms and structural/functional MRI , with particular emphasis on brain-based risk factors, resilience in older adults, and socioenvironmental impacts like community violence exposure. She explores critical intersections between cognitive and emotional processes in trauma-exposed populations, utilizing large-scale multi-site collaborations to identify neural biomarkers. Publication Trends Recent publications (2024-2025) demonstrate heavy involvement with the ENIGMA-PGC PTSD consortium, featuring mega-analyses of cerebellar volume reductions, resting-state connectivity disruptions, and differential effects of childhood trauma subtypes. Her work consistently applies data-driven computational approaches to neuroimaging data, revealing how neighborhood disadvantage, threat exposure, and social support modulate neural fear circuits and PTSD symptomatology across diverse populations. Laboratory Leadership As director of the CATS Lab, she oversees research examining neural substrates of traumatic stress through high-resolution fMRI (including 7T studies), fear generalization experiments, and longitudinal assessments of trauma recovery, with direct clinical applications for PTSD treatment development.

• Neuroscience
• Neuropsychology
• Visual Perception
• +۵ مورد دیگر

Dr. Ivo Popivanov is an Assistant Professor in the Department of Cognitive Science and Psychology at New Bulgarian University. He holds a PhD in Neuroscience from KU Leuven, Belgium, and works as a Clinical Neuropsychologist specializing in cognitive impairments associated with dementia, including affiliations with the Bulgarian Society of Dementia and patient organization Living with Dementia . PhD in Neuroscience from KU Leuven, Belgium Focus on visual perception, bilingualism, and dementia-related cognition Teaches undergraduate course The Human Brain (GENB008) His research bridges Neuroscience and Neuropsychology with emphasis on visual perception mechanisms, bilingual cognitive processing, and dementia-related impairments. Recent work explores ERP correlates of language activation , face/body perception , and fMRI-based neural coding in primates. Scientific trends in his publications span biological motion processing , stimulus representation in the brain, eye-tracking analysis during face recognition, and neural selectivity in primate cortex. These studies often combine EEG , fMRI , and single-unit recordings to investigate visual and cognitive processing. Dr. Popivanov actively contributes to professional communities, including the Society for Neuroscience , Bulgarian Psychological Society , and Bulgarian Society of Dementia . His work has been cited over 600 times, reflecting impact in visual perception and neuropsychological research.

• Neuroscience
• Cognitive Psychology
• Visual Perception
• +۴ مورد دیگر

Assoc. Prof. Ivan Ivanov, PhD, serves as an Associate Professor in the Department of Telecommunications at New Bulgarian University (NBU), teaching core courses including SECB810 (Information Management Assurance) and TCMB862 (Internet-Based Networks and Protocols) within the Bachelor's Program in Telecommunications and Computer Technology. His academic role integrates engineering education with cutting-edge cognitive neuroscience research. Ivanov's research spans visual neuroscience and neurolinguistics, with dual emphases on face/body perception mechanisms and bilingual language processing. His methodological expertise encompasses electrophysiology (ERP/EEG) and functional neuroimaging (fMRI), applied to investigate neural coding in primate and human models. This interdisciplinary approach bridges telecommunications signal processing with cognitive science, particularly in analyzing neural responses to visual and linguistic stimuli. Analysis of his 15 most recent publications (2015-2025) reveals dominant trends in mesoscale neural organization for face/body processing and bilingual cognitive control. His work frequently employs primate neurophysiology to map body-selective cortical patches while simultaneously exploring second-language activation dynamics in humans. Key methodological innovations include fixation-related potentials for bilingual studies and fMRI adaptations for trauma evaluation in refugee populations. Scientific Awards: No awards were documented in the provided materials. Advising and Grants: Available documentation indicates no formal student advisees or research grants. Ivanov's academic profile emphasizes independent research and course instruction, with publications primarily reflecting departmental collaborations rather than externally funded projects. Laboratory and Team Affiliations: While specific labs are unmentioned, his fMRI/ERP work implies access to neuroimaging facilities, likely through cross-departmental partnerships between Telecommunications and Psychology/Neuroscience units at NBU. His trauma-stabilization studies suggest clinical collaborations with refugee support organizations.

Lavinia Uscatescuمشاهده پروفایل

استادیار

• Autism Spectrum Disorder
• Neurodiversity
• Universal Design
• +۲ مورد دیگر

Dr. Lavinia Uscatescu is an Assistant Professor at Virginia Tech's Psychology Department within the College of Science. Her research focuses on autism spectrum disorder, neurodiversity, and the application of universal design principles to create inclusive environments. She emphasizes a strength-based perspective in understanding neurodivergent individuals and their unique capabilities. Joined Virginia Tech in January 2024 for her first faculty appointment Advocates for neurodiversity-inclusive design in educational and employment settings Research spans cognitive neuroscience, clinical psychology, and psychiatric biomarkers Her recent publications analyze neural excitation/inhibition ratios, intrinsic timescales, and connectivity patterns in autism and schizophrenia using fMRI and computational modeling. Key subtopics include social-emotional regulation, diagnostic differentiation, and sensory processing. Dr. Uscatescu enjoys drawing, daily reading, and circus arts like aerial yoga. She wishes to visit Australia, Japan, and Alaska for their unique cultural and natural landscapes. Fun fact: She humorously admits to struggling with face recognition, contrasting with her husband's exceptional ability in this area.

• Visual Cognition
• Brain Imaging
• Object Recognition
• +۶ مورد دیگر

Hans Op de Beeck is a full professor at KU Leuven's Faculty of Psychology and Educational Sciences. He chairs the Brain and Cognition research unit within the Laboratory for Biological Psychology and is a member of the KU Leuven Brain Institute. His work bridges cognitive neuroscience, visual perception, and computational modeling approaches to understand human visual cognition. Professor Op de Beeck's research focuses on visual cognition, particularly object recognition, category selectivity, and the neural organization of the visual system. His work combines multiple methodologies including fMRI, computational modeling, and behavioral experiments to investigate how the brain processes visual information. His research spans basic visual neuroscience to applied domains like aesthetic appreciation and social scene processing. His recent publications demonstrate a strong trend toward integrating computational approaches with human neuroscience. The research spans visual category representation, social cognition, aesthetic processing, and cross-modal plasticity. A notable pattern is the increasing use of artificial neural networks to model and understand human visual processing, as well as the exploration of visual expertise in various domains including Braille reading and chess expertise. Professor Op de Beeck is actively involved in numerous research projects as both promotor and co-promotor, with ongoing work spanning from 2022 to 2030. His laboratory, the Brain and Cognition unit, investigates the fundamental principles of visual processing and their applications in understanding both typical and atypical cognitive functioning.

Tyler K. Perrachioneمشاهده پروفایل

استادیار

• Developmental Disorders of Language and Reading
• Human Voice Recognition
• Social Auditory Perception
• +۵ مورد دیگر

Tyler K. Perrachione is an Assistant Professor in the College of Health and Rehabilitation Sciences: Sargent College at Boston University. He directs the Communication Neuroscience Research Laboratory, focusing on developmental disorders of language and reading, neural plasticity in auditory processing, and speech perception mechanisms. Ph.D., Neuroscience – Massachusetts Institute of Technology M.A., Linguistics – Northwestern University B.A., Linguistics and Cognitive Science – Northwestern University Dr. Perrachione's research explores how atypical neural adaptation impacts conditions like dyslexia and autism spectrum disorder (ASD), with a focus on cortical systems for language, working memory, and voice recognition. His work also investigates speech motor learning and the role of noninvasive brain stimulation in enhancing language acquisition. Recent publications highlight trends in auditory neuroscience, including studies on white matter organization in ASD, dual-task interference in speech processing, and the limitations of musical training in enhancing auditory neural coding. His lab employs multimodal techniques such as fMRI, EEG, and pupillometry to examine speech perception and neural plasticity. NARSAD Young Investigator Award (2016) NIH R03 DC014045 Grant (2015–2018) Peter Paul Career Development Professorship (2013) Walle Nauta Awards for Teaching (2012, 2011) Angus McDonald Award (2010) NSF Graduate Research Fellowship (2008–2011) Dr. Perrachione teaches courses such as "Reading, Language, and the Brain" and "Applied Speech Science" at Boston University. His research has been presented at major conferences, including the Acoustical Society of America and Organization for Human Brain Mapping. The Communication Neuroscience Research Laboratory he leads bridges clinical and cognitive neuroscience to address speech and language disorders.

Basilis Zikopoulosمشاهده پروفایل

استادیار

• Connectomics
• Autism
• Systems Neuroscience
• +۵ مورد دیگر

Basilis Zikopoulos is an Assistant Professor at Boston University and Director of the Human Systems Neuroscience Laboratory ( http://sites.bu.edu/brainlab/ ). His research focuses on structural organization, molecular features, and connectivity of brain circuits in humans and animal models, particularly in the context of neurological disorders like autism, depression, and schizophrenia. Education: BS Biology, University of Crete (1996) MS Biology, University of Crete (1998) PhD Neuroscience, University of Crete (2004) Post-Doctoral Neuroscience, Boston University (2008) Using high-resolution microscopy, imaging, and computational modeling, his work explores the relationship between brain structure and function to identify mechanisms underlying neuropathology. His research integrates bench and clinical neuroscience to train future systems neuroscientists. His publications highlight cortical-thalamic interactions, autism-related pathologies, and computational frameworks for analyzing brain circuits. His lab employs advanced imaging and computational methods to address fundamental questions in neurodevelopmental and neurodegenerative diseases.

Alexander Eckerمشاهده پروفایل

استاد

• Machine Learning
• Computational Neuroscience
• Visual Perception
• +۳ مورد دیگر

Prof. Dr. Alexander Ecker is Professor of Data Science at the Institute of Computer Science, University of Göttingen, and concurrently holds the prestigious Max Planck Fellow position at the Max Planck Institute for Dynamics and Self-Organization. Since 2020 he also serves on the Executive Board of the Campus Institute Data Science in Göttingen. He leads the Neural Data Science research group, comprising 14 PhD students and 2 postdoctoral researchers, focusing on the interface of machine learning and computational neuroscience. His educational background includes a Dr. rer. nat. in Neuroscience (2014) from the Graduate School of Neural and Behavioral Sciences/IMPRS, University of Tübingen, followed by post-doctoral and group-leader positions at the University of Tübingen and the Max Planck Institute for Biological Cybernetics. Research Interests Machine Learning & Deep Learning: developing novel algorithms for representation learning and generative modeling. Computational Neuroscience: large-scale data-driven modeling of visual cortical circuits. Visual Perception: bridging biological vision and computer vision via biologically inspired architectures. His work has produced a steady stream of influential publications (2019-2025) in leading journals such as Nature Communications , Nature , Nature Methods , PLOS Computational Biology , ICLR , NeurIPS , and CVPR . The publications trend toward integrating high-resolution neural recordings with state-of-the-art machine-learning models to uncover principles of sensory processing, neuron-type classification, and behavior. Scientific Awards & Honors Max Planck Fellow, Max Planck Institute for Dynamics and Self-Organization (ongoing) Executive Board Member, Campus Institute Data Science, Göttingen (since 2020) Teaching, Advising & Grants Regularly teaches advanced courses: “Deep Learning for Image Synthesis”, “Current Topics in Deep Learning”, and “Graph Machine Learning”. Supervises 14 current PhD students and 2 postdocs within the Neural Data Science Group. Offers numerous Bachelor’s and Master’s thesis projects, with topics ranging from neuronal morphology clustering to primate vocalization analysis. Leads or co-leads large collaborative consortia with labs in Göttingen, Tübingen, Baylor College of Medicine, and other institutions across the US and Germany. Labs & Teams The Neural Data Science Group operates at the Institute of Computer Science, University of Göttingen, and is tightly integrated with the Max Planck Institute for Dynamics and Self-Organization. The group maintains active collaborations with over a dozen partner laboratories, including groups led by Fabian Sinz, Andreas Tolias, Thomas Euler, Tim Gollisch, and Viola Priesemann, fostering an interdisciplinary environment that spans computer science, physics, biology, and psychology.

David Leopoldمشاهده پروفایل

پژوهشگر

• Visual perception
• Cognitive neurophysiology
• Neural plasticity
• +۲ مورد دیگر

Dr. David Leopold is a Senior Investigator and Chief of the Section on Cognitive Neurophysiology and Imaging at the National Institute of Mental Health (NIMH) within NIH. He directs the Neurophysiology Imaging Facility, a joint core facility sponsored by NIMH, NINDS, and NEI. His research focuses on understanding the neural mechanisms underlying visual perception and consciousness. Key research areas include: Large-scale brain activity in visual perception Neural mechanisms of stimulus visibility Perceptual interpretation vs physical stimuli Social stimulus processing in primate brains Neural plasticity during visual learning His laboratory combines behavioral, neurophysiological, and fMRI measurements with pharmacological manipulations to study functional circuitry. Recent publications examine primate white matter architecture, neuronal plasticity, and face processing networks. Technical innovations include: Special microelectrodes for longitudinal neuron tracking Integration of diffusion-weighted MR imaging Multi-modal experimental designs

Mark Buckleyمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Behavioral Neuroscience
• Memory Systems
• +۴ مورد دیگر

Professor Mark Buckley is a leading researcher in Behavioural and Cognitive Neuroscience at Oxford University, affiliated with the Department of Experimental Psychology and Queen’s College. He also holds visiting positions at Tohoku University Brain Science Centre and RIKEN Brain Science Institute in Japan. Education: D.Phil. in Experimental Psychology from Oxford University His research focuses on understanding how interconnected neural systems in the brain underpin learning, memory, and decision-making, with a particular emphasis on the prefrontal cortex and temporal lobes. His work bridges basic neuroscience with applications in dementia, amnesia, and psychiatric disorders. Recent publications highlight his exploration of neural dynamics in problem-solving, executive control fluctuations, and frontopolar cortex functions. His studies employ neuropsychological, neurophysiological, and neuroimaging techniques across normal and lesioned brain models. Scientific Awards: Medical Research Council Research Training Fellowship Royal Society University Research Fellowship Buckley teaches undergraduate and graduate courses in psychobiology, behavioral neuroscience, and memory neurobiology. He oversees research projects and dissertations, fostering advanced study in cognitive processes. His laboratory is funded by the Medical Research Council (MRC), Biotechnology and Biological Sciences Research Council (BBSRC), and Wellcome Trust, reflecting the significance of his work in cognitive neuroscience.

Jonaki Senمشاهده پروفایل

استاد

• Vertebrate neuronal development
• Molecular mechanisms of neuron generation
• Neuronal migration
• +۵ مورد دیگر

Dr. Jonaki Sen is a Professor in the Department of Biological Sciences & Bioengineering at the Indian Institute of Technology Kanpur. Her research focuses on understanding the molecular mechanisms of vertebrate neuronal development, including neuron generation, migration, differentiation, and connection formation with appropriate targets. Her research interests include: Vertebrate neuronal development Molecular mechanisms of neuron generation Neuronal migration patterns Neuronal differentiation processes Formation of neural connections Visual system development Cortex development Hippocampus development Dr. Sen's laboratory utilizes developing chick and mouse models to study these processes in the visual system, cortex, and hippocampus. Her work has significantly contributed to understanding the molecular regulation of neural development and patterning across species. She has received the Julius Marmur Research Award for outstanding performance in academic Ph.D. research, awarded by the Sue Golding Graduate Division, Albert Einstein College of Medicine, New York, USA. Her publication record demonstrates expertise across developmental biology, neuroscience, and molecular biology, with particular focus on neural patterning, gene expression regulation in developing neural tissues, and comparative neuroanatomy between avian and mammalian systems.

Anne Churchlandمشاهده پروفایل

استاد

• Decision Making
• Neuroscience
• Multisensory Integration
• +۴ مورد دیگر

Anne Churchland is a Professor of Neurobiology at the University of California, Los Angeles, with a research focus on perceptual decision-making and multisensory integration. Her work bridges experimental neuroscience with computational approaches to understand how the brain processes information and makes decisions. Churchland's research interests span cognitive neuroscience, decision-making processes, neural circuit dynamics, and multisensory integration. Her laboratory employs advanced techniques including large-scale neural recordings, behavioral analysis, and computational modeling to investigate how neural populations encode information and guide decisions. She has made significant contributions to understanding how spontaneous movements influence neural activity and how different brain regions contribute to evidence accumulation during decision tasks. Her recent publications reveal a strong trend toward large-scale, collaborative neuroscience projects, particularly through the International Brain Laboratory. Her work increasingly focuses on developing and applying advanced tools for neural recording and analysis, including chronic Neuropixels probes and motion correction algorithms for extracellular recordings. Churchland's research spans multiple model organisms and integrates behavioral, electrophysiological, and computational approaches to address fundamental questions in systems neuroscience. Scientific Awards Excellence in Postdoc Mentoring Award, UCLA, 2024 James M. and Cathleen D. Stone Faculty Research Award, Cold Spring Harbor Laboratory, 2020 Louise Hanson Marshall Special Recognition Award, Society for Neuroscience, 2017 Janett Rosenberg Trubatch Career Development Award, Society for Neuroscience, 2012 Churchland leads an active research laboratory focused on perceptual decision-making and multisensory integration. She has secured funding from multiple prestigious sources including the National Science Foundation, NIH BRAIN Initiative, and Simons Foundation. Her lab is part of the International Brain Laboratory, a large-scale collaborative effort to standardize and reproduce measurements of decision-making in mice. Churchland has been instrumental in developing new tools and methodologies for chronic neural recordings across multiple brain areas simultaneously. Her laboratory develops and implements cutting-edge techniques for large-scale neural recordings, including chronic Neuropixels probe implants and motion correction algorithms for high-density extracellular recordings. The lab actively participates in collaborative neuroscience initiatives, most notably the International Brain Laboratory, which aims to establish standardized approaches to studying neural circuits underlying decision-making.

• Neuro-AI
• Natural Language Processing
• Machine Learning
• +۳ مورد دیگر

Shailee Jain is a postdoctoral researcher at the Chang Lab in the Department of Neurosurgery at University of California, San Francisco (UCSF). Previously, she completed her PhD in Computer Science at the Huth Lab, University of Texas at Austin, with collaborations at Google AI Language and Intel Brain-Inspired Computing Lab. Her work bridges artificial neural networks with biological language processing systems. Education : PhD in Computer Science (2023), UT Austin; BSc at NITK Surathkal Shailee's research focuses on Neuro-AI intersections, particularly interpreting neural NLP models to understand brain language processing . Her recent work explores voxel function modeling , context-sensitive speech encoding , and geometric signatures in neuro-AI systems . Key publications include: 2024: Frameworks for generative causal testing in language neuroscience 2023: Natural language fMRI dataset for voxelwise modeling 2022: Self-supervised speech modeling for cortical response prediction Awards & Recognition : 2025: Rookie of the Year Award (CogHear'25) 2024: Glushko Dissertation Prize 2024: SNL Dissertation Award 2023: UT Austin Graduate School Fellowship Active in academic service as Handling Editor for JoCNForum and Co-organizer for BayLI meetings, Shailee mentors through Women in Computer Science and reviews for top-tier venues. She teaches at summer schools like Cajal's NeuroAI program in Lisbon.

Fabian H. Sinzمشاهده پروفایل

استاد

• Neuroscience
• Machine Learning
• Computational Neuroscience
• +۳ مورد دیگر

Fabian H. Sinz is a Professor at the University of Tuebingen, leading the Neuronal Intelligence Group . His research focuses on understanding how biological neuronal networks leverage model biases through architecture, nonlinearities, and dynamics to enhance robust inference and accelerate learning. He employs deep learning and system identification techniques on large-scale neurophysiological and anatomical data. His work spans theoretical and applied domains, including system identification , neuroscience , reinforcement learning , and medical AI . Recent studies explore bidirectional coding in visual cortical neurons, contrastive learning for neuroscience time-series, and foundational models predicting neural responses to novel stimuli. Key publications highlight advancements in functional connectomics , invariance manifold learning , and neural likelihood estimation . Collaborations with institutions like the University of Texas and Max Planck Institute underscore his interdisciplinary impact. Tools like LAMINR (Learning and Aligning Manifolds of Single-Neuron Invariances) demonstrate his contributions to open-source neuroscience research.

Paolo Mediniمشاهده پروفایل

دانشیار

• Neuroscience
• Neurophysiology
• Neurobiology
• +۵ مورد دیگر

Paolo Medini is an Associate Professor at Umeå University, affiliated with the Department of Medical and Translational Biology and the Center for Transdisciplinary AI. His research focuses on cortical microcircuits, sensory processing, and brain recovery mechanisms. Neuroscience Neurophysiology Cortical Plasticity Optogenetics His lab investigates how sensory information is processed by distinct cell types in cortical circuits and how these circuits adapt after brain lesions or sensory deprivations. Research spans both adaptive and maladaptive plasticity, aiming to differentiate molecular mechanisms for targeted interventions. Recent publications highlight applications of all-optical interrogation strategies and multisensory integration in the neocortex. Paolo Medini's group employs advanced techniques such as in vivo patch clamp recordings, two-photon calcium imaging, and optogenetics. They use genetically modified strains to study cell-type-specific responses and circuit reorganization post-lesion. Their work is critical for developing therapies in neurodegenerative diseases and cortical repair. Environmental enrichment for brain recovery (Nature Neuroscience) Cortical microcircuit organization (Neuron) Post-stroke plasticity (Journal of Physiology)