جست‌وجوی استاد و پژوهشگر

Aidan J Hornerمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Memory Research
• Neuroimaging
• +۳ مورد دیگر

Aidan J Horner is a Professor in the Department of Psychology at the University of York. He holds a BSc in Psychology (2005) and MSc in Cognitive Neuroscience (2006) from the University of York, followed by a PhD in Cognitive Neuroscience from the University of Cambridge (2010). His career includes postdoctoral research at Otto-von-Guericke University (2010–2011) and University College London (2011–2016), and a visiting scholar position at Stanford University (2008). He returned to York as a Lecturer in 2016, advancing to Senior Lecturer and his current Professorship. Research Focus: Horner’s work examines how the brain encodes and retrieves long-term memories, particularly spatial and event-based information. He employs experimental psychology, virtual reality, neuroimaging (e.g., fMRI, MEG), and computational modeling to study hippocampal and cortical mechanisms underlying memory formation, consolidation, and forgetting. His recent studies explore the role of theta oscillations in memory binding, the impact of emotion on memory coherence, and forgetting dynamics. Publications & Awards: Over 50 peer-reviewed articles, including high-impact work in Current Biology , Nature Communications , and Cognition . Recognized with the Annual Cognitive Paper Prize Award (2022) for groundbreaking contributions to memory research. Grants & Projects: Lead investigator on ESRC-funded projects (e.g., "Promoting rapid and sustained learning of novel information" , 2018–2022). Collaborates with institutions like the York Neuroimaging Centre (YNiC) to advance neuroimaging techniques in cognitive studies. Labs & Teams: Affiliated with the York Neuroimaging Centre (YNiC), integrating neuroimaging with behavioral and computational approaches to memory systems. Active in interdisciplinary teams studying memory plasticity and cognitive neuroscience.

Carolyn Parkinsonمشاهده پروفایل

دانشیار

• Social Neuroscience
• Affective Neuroscience
• Social Psychology
• +۴ مورد دیگر

Carolyn Parkinson is an Associate Professor at the University of California, Los Angeles (UCLA), holding the Bernice Wenzel and Wendell Jeffrey Term Endowed Chair in Cognitive Neuroscience. Her research integrates social psychology with computational neuroscience to explore how the human brain represents, navigates, and shapes social environments. University: University of California, Los Angeles (UCLA) Academic Rank: Associate Professor Research Focus: Social and Affective Neuroscience, Social Network Analysis, Neural Mechanisms of Psychological Distance At the Computational Social Neuroscience Lab , Parkinson investigates: Neural encoding of social network structures Shared mechanisms for spatial, temporal, and social distance perception Computational modeling of social cognition Functional MRI analysis of social relationships Her work reveals that: Resting-state brain connectivity predicts social proximity Multivoxel patterns decode social knowledge representations Old cortical structures repurpose spatial processing for social cognition Neural population coding transcends historical phrenology-based approaches Notable awards include the Bernice Wenzel and Wendell Jeffrey Term Endowed Chair. She employs machine learning and social network theory to analyze distributed brain activity patterns, advancing understanding of human social behavior and cognition.

Chandan J Vaidyaمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Developmental Disorders
• ADHD
• +۵ مورد دیگر

Chandan J Vaidya is a Professor in the Department of Psychology at Georgetown University, directing the Developmental Cognitive Neuroscience Laboratory (DCNL). His research focuses on cognitive neuroscience mechanisms underlying adaptive behaviors, particularly implicit learning, executive control, and their dysfunction in ADHD, ASD, and other developmental disorders. Using multidisciplinary methods including fMRI, behavioral testing, and genetic analysis, he investigates how dopamine systems, brain connectivity, and environmental factors influence cognitive processes. Primary appointment: Professor, College of Arts and Sciences - Department of Psychology Education: Ph.D. from Syracuse University Research interests include neurodevelopmental disorders, neuroimaging of cognitive control, and translational neuroscience. Recent work examines striatal connectivity changes in ADHD due to stimulant use, executive dysfunction subtypes in autism, and brain correlates of reward processing in obesity. Key findings highlight hyperconnectivity in ASD, dopamine genotype influences on executive function, and age-related changes in default mode networks. Ongoing studies explore transdiagnostic models of psychopathology and precision medicine approaches in neurodevelopmental disorders. Lab activities focus on translational research bridging basic neuroscience with clinical applications. Collaborations involve pediatric neurology, psychiatry, and computational modeling.

• MRI
• Diffusion MRI
• Perfusion MRI
• +۶ مورد دیگر

Professor Fernando Calamante is a Professor of Biomedical Engineering at The University of Sydney and Director of Sydney Imaging Core Research Facility. He leads the National Imaging Facility node and focuses on advanced MRI methodologies, particularly Diffusion and Perfusion MRI, to study brain connectivity and neurological disorders. His work includes developing the MRtrix software, widely used in diffusion MRI analysis. He holds extensive funding (~$50M) and has been recognized with awards like ISMRM Fellowship and NHMRC grants. His research spans super-resolution imaging, brain connectomics, and clinical applications in stroke and tumors. Education: BSc (Physics, Argentina), PhD (Magnetic Resonance Imaging, University College London). Career highlights include leadership roles at The Florey Institute and ISMRM presidency (2021-2022). Research interests include: Novel MRI methods for brain connectivity and super-resolution imaging Applications of Diffusion and Perfusion MRI in neurology Integration of structural and functional connectomics Key achievements: Over 200 publications, software innovations, and leadership in global MRI societies.

Yanli Linمشاهده پروفایل

استادیار

• Cognitive Neuroscience
• Mindfulness
• Emotion Regulation
• +۷ مورد دیگر

Yanli Lin is an Assistant Professor in the Department of Psychology within the College of Arts & Sciences at the University of Arkansas. She holds a Ph.D. in Clinical Psychology from Michigan State University and completed a postdoctoral fellowship in Cognitive Neuroscience at Washington University in St. Louis (2020–2024). Position: Assistant Professor Institution: University of Arkansas School: College of Arts & Sciences Department: Psychology Email: yanlil@uark.edu Her research focuses on understanding how mindfulness and contemplative practices influence attention, emotion regulation, cognition, and interpersonal behavior, with an emphasis on the mind-brain-behavior relationship. She employs cognitive neuroscience methods, including EEG and statistical modeling, to investigate neural and behavioral effects of meditation in both health promotion and clinical contexts. Her interdisciplinary approach integrates insights from psychology, neuroscience, philosophy, and religious studies. The recent publications highlight a consistent trend in studying distinct mindfulness states—particularly focused attention and open monitoring—on neural markers of emotion and cognitive control. Her work employs within-subject designs and advanced electrophysiological techniques to parse subtle differences in mindfulness-induced brain dynamics. These studies contribute to a growing understanding of how specific meditation practices can be precisely targeted for therapeutic applications. She has been recognized with several prestigious awards: NIH/NIA F32 National Research Service Award WUSTL McDonnell Center for Systems Neuroscience SGP Award Mind & Life Institute Francisco J. Varela Research Award Dr. Lin advises graduate students and leads a research laboratory focused on mindfulness and cognitive neuroscience. While specific grant details are not listed, her award history suggests active external funding. Her lab uses EEG and behavioral experimentation to explore how meditation shapes cognition and emotion, contributing to the scientific foundation for mindfulness-based interventions.

• Neuroimaging
• Neuroscience
• Functional Magnetic Resonance Imaging (fMRI)
• +۳ مورد دیگر

Prof. Stephen Mayhew is a Professor at Aston University's School of Life & Health Sciences, affiliated with the College of Health and Life Sciences. He leads the Cognition & Neuroscience Research Group (CNRG) and contributes to the Aston Research Centre for Health in Ageing. His research focuses on multimodal neuroimaging (EEG/fMRI/MRI/MEG) to study brain activity in health and cognition, particularly negative BOLD responses and their role in neural inhibition and behavior. Recent work includes investigating task-demand effects on BOLD responses, brain state dynamics during rest, and neurovascular coupling methods. Education & Affiliations: Affiliated with Aston University's School of Life & Health Sciences Member of CNRG and Health in Ageing Centre Research Interests: His work explores collaborative/antagonistic brain networks, lifespan changes in brain function, and the functional significance of negative BOLD responses. Techniques include fMRI, EEG, and advanced neuroimaging analysis methods like fractal dimension and laminar 7T MRI. Key Contributions: Published over 30 peer-reviewed articles on neuroimaging and brain networks Systematic reviews on neurovascular coupling and transcranial Doppler methods Labs & Teams: Active in CNRG and collaborates across disciplines in health sciences and bioengineering.

Zsofia Zaveczمشاهده پروفایل

پژوهشگر

• Cognitive Neuroscience
• Sleep Research
• Electrophysiology
• +۳ مورد دیگر

Zsofia Zavecz is a Research Associate at the University of Cambridge Department of Psychology. Her work focuses on the neurophysiological mechanisms underlying sleep and memory consolidation, with particular emphasis on electrophysiological correlates of lucid dreaming and sleep-dependent learning. Research highlights include: Investigation of EEG functional connectivity during statistical learning Study of transcranial stimulation effects on probabilistic learning Analysis of sleep restriction impacts on hormonal regulation Exploration of cognitive reserve mechanisms in sleep disorders Her neuroscientific investigations span procedural memory systems, neural oscillations, and cross-population studies in both healthy individuals and pediatric sleep-disordered breathing patients.

Zoran Josipovicمشاهده پروفایل

استادیار مدعو

• Consciousness Studies
• Meditation Research
• Neuroscience
• +۵ مورد دیگر

Zoran Josipovic is an Adjunct Assistant Professor in the Department of Psychology at New York University's College of Arts & Science. He is also the founding director of the Nonduality Institute, an independent research center exploring nondual awareness. His expertise spans consciousness studies, meditation neuroscience, and cognitive/affective neuroscience. Education: PhD in Cognitive Neuroscience (Union Institute & University), MA in Clinical Psychology (John F. Kennedy University), BA in Asian Religions (SUNY) Research focuses on nondual awareness mechanisms, meditation's effects on epilepsy, and consciousness neurobiology. He investigates how practices like Tibetan Buddhism, Zen, and Advaita Vedanta influence neural processes. His work bridges contemplative traditions with modern neuroscience through studies on self-awareness, brain networks, and minimal phenomenal experience. Recent publications explore reflexivity gradients in consciousness, implicit-explicit nondual awareness dimensions, and neural correlates of prayer in addiction recovery. His grants include funding from the Mind Science Foundation and Yoga Science for nondual awareness research. Awards: 2010 Tom Slick Award for Consciousness Research, multiple grants supporting meditation-epilepsy studies Teaches courses like 'Consciousness and the Brain' and 'Mindfulness & Transformative Technologies.' Active in professional societies including the Association for Psychological Science and Society for Neuroscience. Operates the Nonduality Institute, conducting empirical studies on nondual experience and offering online meditation education. A lifelong practitioner of nondual traditions, he integrates clinical psychology with contemplative practice instruction.

Mariya Tonevaمشاهده پروفایل

پژوهشگر

• Machine Learning
• Natural Language Processing
• Neuroscience
• +۵ مورد دیگر

Mariya Toneva is a tenure-track faculty member at the Max Planck Institute for Software Systems , conducting groundbreaking research at the intersection of Machine Learning , Natural Language Processing , and Neuroscience . She leads the Bridging AI and Neuroscience (BrAIN) group , focusing on computational models that align AI systems with human brain processes. Her work aims to enhance both AI capabilities and neuroscience understanding through this cross-disciplinary approach. Actively recruiting postdocs, PhDs, and research interns in areas like code/text representation, brain-AI alignment, and neuroimaging data analysis Collaborator on NIH-funded projects using fMRI and neuropixel data Research Themes : Her group explores neural mechanisms of language processing, event segmentation in narratives, memory reactivation via music, and effective human-AI collaboration frameworks. Key methods include LLM analysis, cross-modal similarity metrics, and naturalistic task-based fMRI studies. Key Publications (2024-2025): Brain-tuned speech models (INTERSPEECH 2025) Cognitive event boundaries in LLMs (Behavioral Research Methods 2025) Music-induced memory reactivation (biorxiv 2024) LLM-brain alignment reasons (EMNLP 2024) Advising : Mentors PhD candidates Omer Moussa (speech processing), Camila Kolling (representational similarity), and Gabriele Merlin (LLM alignment). Collaborates with institutions like MIT, NYU, and ETH Zurich.

Diana Tamirمشاهده پروفایل

استاد

• Social Neuroscience
• Cognitive Psychology
• Social Cognition
• +۳ مورد دیگر

Diana Tamir is a Professor at Princeton University, where she directs the Princeton Social Neuroscience Lab. She earned her Ph.D. from Harvard University and specializes in the intersection of internal mental processes and external social cognition. Her research investigates: How minds predict others' emotions and mental states The cognitive consequences of self-disclosure and social media use Neural mechanisms of social prediction using fMRI and machine learning Effects of fiction reading on theory of mind Dynamics of spontaneous thought and social bonding Her recent publications (2024-2025) demonstrate strong focus on emotion prediction mechanisms, social interaction dynamics, neural signatures of psychological states, and developmental aspects of social cognition. Methodologically, she employs neuroimaging hyperscanning, ecological momentary assessment, and computational modeling across diverse populations. She currently advises graduate students including Faustine Corbani and Yeaju Diana Kim. Her lab focuses on empirical approaches to understanding how individuals navigate between internal experiences and external social environments.

Teresa Cheungمشاهده پروفایل

استاد مدعو

• Biomedical Engineering
• Neuroimaging
• Magnetoencephalography (MEG)
• +۴ مورد دیگر

Teresa Cheung is an Adjunct Professor in the Department of Engineering Science at Simon Fraser University’s Faculty of Applied Sciences. Her research focuses on neuroimaging techniques, particularly magnetoencephalography (MEG), and their applications to understanding brain networks in health and disease. She holds a Ph.D. in Physics from SFU (2012) and completed a postdoctoral fellowship at the University of Cambridge (2012–2013). Research interests include: MEG instrumentation and optically pumped magnetometers (OPM) Cortical-cerebellar networks and cerebellar activity localization Neuroimaging of neurological disorders like major depressive disorder and epilepsy Functional and structural connectome analysis across the human lifespan Multimodal integration of MEG, MRI, fMRI, and DTI data Recent work emphasizes the relationship between cardiovascular health, brain aging, and cognitive resilience. Her studies span clinical applications (e.g., depression biomarkers) and technical advancements in neuroimaging systems. Collaborations include multi-site studies on depression and aging cohorts like the Cam-CAN project. Publications highlight innovative methods in MEG system design, neural network dysfunction analysis, and lifespan brain dynamics. Her work bridges engineering, neuroscience, and clinical research to advance non-invasive brain imaging and neurophysiological understanding.

Kiara R Timpanoمشاهده پروفایل

استاد

• Anxiety Disorders
• Obsessive-Compulsive Spectrum Disorders
• Hoarding Disorder
• +۴ مورد دیگر

Kiara R. Timpano is a Professor in the Department of Psychology at the University of Miami and Director of the Program for Anxiety, Stress, and OCD (PASO). She holds a PhD from Florida State University and completed postdoctoral training at Massachusetts General Hospital/Harvard Medical School. Her research focuses on cognitive and psychosocial risk factors for anxiety, OCD, and hoarding disorders, with a particular interest in transdiagnostic mechanisms. Key areas include intolerance of uncertainty, emotion dysregulation, and behavioral interventions. Timpano leads the PASO lab, collaborating with institutions like McLean Hospital, UC Berkeley, and Karolinska Institutet. She supervises graduate students (e.g., Hannah Broos, Amelia Dev) and undergraduates, mentoring over 20 trainees. Her work integrates clinical research with community health initiatives, such as pandemic behavioral studies and climate change engagement projects. She serves on the Scientific and Clinical Advisory Board of the International OCD Foundation. Timpano's research spans neuroimaging (e.g., fMRI studies of repetitive negative thinking), translational therapy development (e.g., mindfulness-integrated CBT), and public health interventions. Her 2025 study in Children journal examines transdiagnostic treatments for youth OCD/anxiety comorbidity, while 2024 Cerebral Cortex work links PTSD symptoms to neural connectivity. Collaborations emphasize global mental health challenges and evidence-based practices.

Gagan Wigمشاهده پروفایل

دانشیار

• Brain Network Connectivity
• Cognitive Aging
• Alzheimer's Disease
• +۳ مورد دیگر

Gagan Wig is an Associate Professor at the University of Texas at Dallas, School of Behavioral and Brain Sciences, with adjunct appointments in Psychiatry at UT Southwestern Medical Center. He directs the Wig Neuroimaging Lab, focusing on brain network connectivity across lifespan, healthy/pathological aging, and brain health disparities. His research employs structural/functional MRI, DTI, and TMS to study large-scale brain networks and their relationship to memory and attention. Professional preparation includes: Post-doctoral Associate in Neurology, Washington University School of Medicine (2012) Post-doctoral Associate in Psychology, Harvard University (2009) Ph.D. in Cognitive Neuroscience, Dartmouth College (2006) B.S. in Behavioral Neuroscience, University of British Columbia (2001) Research explores how brain networks change during aging and how socioeconomic status moderates these changes. His work reveals that education protects against brain network decline and that participant diversity is crucial for advancing brain aging research. Publications focus on neuroimaging of lifespan changes, Alzheimer's biomarkers, socioeconomic impacts on brain health, and methodological innovations in network analysis. Recent work demonstrates how functional network organization supports cognition despite Alzheimer's pathology and how data quantity affects network segregation measures. Awards include the Understanding Human Cognition Scholar Award from James S. McDonnell Foundation (2006). He has received significant funding including a $2.9M NIH grant studying socioeconomic links to Alzheimer's susceptibility and DARPA support for novel data sonification approaches.

• Neuroscience
• Psychiatry
• Schizophrenia
• +۵ مورد دیگر

Michal Assaf, MD, is a faculty member at the Yale School of Medicine, affiliated with the Department of Psychiatry. His research focuses on the neural mechanisms underlying social-emotional regulation and cognitive deficits in psychiatric disorders, particularly schizophrenia. Utilizing advanced neuroimaging techniques such as functional MRI, Dr. Assaf investigates brain-wide connectivity patterns during naturalistic tasks and electrophysiological markers like frontal alpha asymmetry. His recent work highlights changes in brain connectivity during emotional processing and their relationship to social functioning in schizophrenia. These studies contribute to a deeper understanding of the neurobiological basis of psychiatric conditions and may inform future therapeutic interventions. Dr. Assaf has published original research in high-impact journals such as Cerebral Cortex and Journal of Psychiatric Research in 2025, demonstrating an active research trajectory in clinical and cognitive neuroscience. His work often involves collaborative, multidisciplinary teams across institutions. Research Interests: Functional brain connectivity Neuroimaging in psychiatry Social cognition in schizophrenia fMRI and EEG biomarkers Clinical neuroscience Emotional regulation While no formal mentorship or grant activities are detailed in the available text, his publication record suggests active involvement in funded research and academic collaboration. There is no indication of part-time status, retirement, or former affiliation.

• Autism Spectrum Disorders
• Child Psychiatry
• Developmental Disabilities
• +۸ مورد دیگر

Katarzyna Chawarska is the Emily Fraser Beede Professor of Child Psychiatry at Yale School of Medicine, with primary affiliation in the Child Study Center and secondary appointments in Pediatrics and Statistics. She is a leading expert in autism spectrum disorders (ASD), directing the NIH Autism Center of Excellence, the Social and Affective Neuroscience of Autism Program, and the Yale Toddler Developmental Disabilities Clinic. Education: PhD in Psychology, Yale University (2000) Post-Doctoral Fellowship, Yale University School of Medicine (2000) MS in Psychology, Yale University MPhil in Psychology, Yale University MA, Jagiellonian University (1986) Her research focuses on identifying early diagnostic markers and novel treatment targets in ASD, particularly in infants at risk due to familial, genetic, or perinatal factors. Her work integrates clinical assessment, neuroimaging, eye-tracking, and longitudinal design to understand the neurodevelopmental trajectories of autism. Her recent publications explore disrupted functional connectivity, atypical visual attention, social anhedonia, and familial recurrence in autism. She employs advanced methodologies including fMRI, eye movement dynamics, and machine learning to identify biomarkers. Her research spans developmental neuroscience, clinical psychology, genetics, and pediatric psychiatry, with strong emphasis on early detection and intervention. Scientific Awards: No specific awards mentioned in the provided text. Dr. Chawarska is the Principal Investigator on active clinical trials, including studies on emotional development in infants at risk for ASD and regulation of visual attention and emotion in autism. She mentors research through her lab and collaborates extensively with experts such as Fred Volkmar, James McPartland, and Frederick Shic. She leads the Chawarska Lab, which is part of the Center for Brain & Mind Health and the Wu Tsai Institute at Yale.