جست‌وجوی استاد و پژوهشگر

Andrea Benucciمشاهده پروفایل

استاد

• Visual Neuroscience
• Neural Circuits
• Decision Making
• +۳ مورد دیگر

Andrea Benucci is a Professor in Visual Neuroscience at Queen Mary University of London (QMUL), School of Biological and Behavioural Sciences, with an honorary Senior Lecturer appointment at University College London (Institute of Ophthalmology) and a Senior Visiting Scientist role at RIKEN-CBS. His research focuses on linking neural circuit architectures to computations in visual processing and decision-making, integrating all-optical dissection of circuits with artificial neural network models. He has held academic positions at RIKEN-CBS (2014–2024) and UCL, with postdoctoral training at Smith-Kettlewell Eye Research Institute (San Francisco). His lab develops experimental platforms for mouse behavior and physiology, including automated training setups and optogenetic techniques. Key research themes include neural signal interactions, sensory-motor integration, and attention-driven modulation of cortical activity. Education Bachelor’s in Physics, University of Padua, Italy PhD in Neuroscience, ETH Zurich/University of Zurich Research Interests Benucci’s work bridges experimental neurophysiology and computational modeling. His lab investigates how visual information is processed in the cortex, emphasizing context-dependent computations and the role of motor-related signals in perceptual stability. Techniques include two-photon imaging, optogenetics, and artificial neural networks constrained by biological data to predict behavioral outcomes under perturbations. Recent studies explore efficient coding of natural images and the anatomical basis of thalamocortical circuits in whisker-related processing. Grants & Labs His lab at QMUL focuses on high-throughput mouse behavior and physiology. Collaborations include developing transgenic mice for neural circuit targeting (e.g., with Madisen et al., 2015). Postdoctoral opportunities are available in experimental (optogenetics, imaging) and theoretical (machine learning, ANN modeling) neuroscience. Labs & Teams Current lab members include postdocs, PhD candidates, and technicians. Former members from his RIKEN-CBS era include Dmitry Lyamzin, Federico Bolaños, and others who contributed to studies on arousal states, attention, and cortical dynamics.

• Neuroscience
• Ophthalmology
• Stroke Rehabilitation
• +۳ مورد دیگر

Matthew R. Cavanaugh, Ph.D., is a Research Assistant Professor in the Department of Ophthalmology at the University of Rochester School of Medicine and Dentistry. His research focuses on developing visual perceptual learning interventions to restore vision in stroke survivors with occipital cortex damage. He investigates mechanisms of recovery through advanced neuroimaging and behavioral testing, emphasizing attention-based training strategies. Education: Ph.D. in Neuroscience, University of Rochester, 2017 MS in Neuroscience, University of Rochester, 2014 BS in Biology, SUNY College at Geneseo, 2012 Research Interests: Dr. Cavanaugh’s work explores how targeted visual training can enhance recovery of lost visual function, particularly in patients with stroke-induced cortical blindness. His studies integrate neuroimaging (e.g., fMRI, DTI), psychophysical testing, and clinical outcomes to identify biomarkers of recovery potential and optimize rehabilitation protocols. Key topics include: Neuroplasticity after occipital stroke Visual field quantification and restoration Role of attention in perceptual learning Retinal-thinning prevention through training Publications Trends: Recent work highlights: Quantitative analysis of visual field evolution post-stroke Novel white matter biomarkers for recovery prediction Neurochemical correlates (GABA/glutamate) of residual vision Long-term efficacy of perceptual training programs Advising & Grants: No formal advisees listed, though collaborates extensively with clinical and basic science researchers. Grant funding details not specified in current data. Labs & Teams: Primary affiliation with the Huxlin Lab , focused on vision restoration in neurological disorders.

Magdalena Ietswaartمشاهده پروفایل

مدرس ارشد

• Neuropsychology
• Cognitive Neuroscience
• Neuroimaging
• +۴ مورد دیگر

Dr. Magdalena Ietswaart is a Senior Lecturer in Psychology at the University of Stirling, Scotland. She holds a PhD in Neuropsychology of Action and has held academic roles at institutions including Aberdeen, Durham, and Northumbria Universities before joining Stirling in 2013. Her research focuses on neuropsychology and cognitive neuroscience, particularly the neural mechanisms underlying action representation and its clinical applications. She leads the Stirling Brains research group, employing advanced techniques like 7T MRI, EEG, and kinematic analysis to study real-world brain function in neurological patients and athletes. Her work includes investigating brain changes from sport-related head impacts (e.g., football heading) and Parkinson's disease motor control. She has secured grants from the National Institute for Health Research, Medical Research Scotland, and the Scottish Government. Projects emphasize multi-method approaches, such as integrating mobile neuroimaging with behavioral measurements. Dr. Ietswaart supervises numerous PhD students in areas like sport brain health, apraxia, and real-world cognition. Collaborations span institutions globally, including Germany, Italy, and Belgium. Key areas of research include: Neural correlates of action observation and execution Cognitive neuroscience of movement disorders Biofluid markers in traumatic brain injury Development of neuroimaging biomarkers for mild traumatic brain injury Her recent studies highlight acute neurological effects of routine sports activities (e.g., boxing, soccer) and the application of mobile EEG to assess real-world cognitive processes. She advocates for interdisciplinary research to address societal challenges like dementia prevention and athlete brain safety.

• Cerebral Palsy
• Disability
• Somatosensory Processing
• +۶ مورد دیگر

Dr. Inmaculada Riquelme Agulló is a Professor in the Department of Nursing and Physiotherapy at the University of the Balearic Islands' Faculty of Nursing and Physiotherapy. With a distinguished academic career spanning multiple decades, she serves as a leading researcher and educator in the field of neurorehabilitation and physiotherapy for individuals with developmental disorders. Education: Physiotherapy Degree from the University of Valencia (1995) PhD in Basic Medical Sciences from the University of the Balearic Islands (2011) Dr. Riquelme Agulló's research focuses on the intersection of somatosensory processing, emotion regulation, and neurodevelopmental conditions, with particular emphasis on cerebral palsy. Her work explores how sensory inputs, emotional states, and brain processing interact in children and adults with developmental disorders. She has pioneered studies examining proprioception, affective touch, and pain assessment methodologies specifically adapted for individuals with communication difficulties. Her extensive publication record demonstrates a clear trajectory toward increasingly sophisticated multimodal assessment approaches, combining EEG, behavioral observation, and physiological measures to understand sensory-emotional integration in neurodevelopmental conditions. Recent work has incorporated advanced technologies including deep learning for facial recognition pain assessment and virtual reality interventions. Dr. Riquelme Agulló leads significant research projects funded through Spain's National R&D Plan, including the SENTS project (2021-2025) on somatosensory processing in neurodevelopmental disorders and a newer project (2024-2027) examining body perception in children with neurodevelopmental disorders. As an educator, she teaches across multiple programs including undergraduate physiotherapy courses in neurology, traumatology, and general procedures, as well as master's level courses in social skills, emotional competencies, and neurorehabilitation. She serves as a thesis advisor for both undergraduate and graduate students. She is an active member of two research groups: the Cognitive-Affective Neuroscience and Clinical Psychology (CANCLIP) group and the Graphics and Computer Vision Unit and Artificial Intelligence (UGIVIA) group, reflecting her interdisciplinary approach that bridges clinical practice with technological innovation.

David DiGregorioمشاهده پروفایل

پژوهشگر

• Neuroscience
• Synaptic Physiology
• Neural Circuit Dynamics
• +۸ مورد دیگر

David DiGregorio is a Principal Investigator in neuroscience at the Institut Pasteur in Paris, France, where he leads research on synaptic and cerebellar circuit dynamics. His work spans experimental and computational neuroscience, focusing on dendritic integration, synaptic diversity, and neural mechanisms of temporal and multisensory coding. Position: Principal Investigator Institution: Institut Pasteur, Paris Research Focus: Synaptic physiology, cerebellar circuits, dendritic computation, neural coding His research interests center on understanding how synaptic and dendritic properties shape neural computations in the cerebellum. He investigates how the nanoscale organization of synaptic proteins, diversity in synaptic strength and plasticity, and dendritic integration contribute to information processing in neural circuits. His lab uses advanced techniques including patch-clamp electrophysiology, super-resolution microscopy (STED), 2-photon imaging in awake animals, and computational modeling. A key theme is how synaptic diversity enables temporal coding of multisensory inputs, a mechanism critical for motor coordination and cognitive behaviors. His recent publications reveal a strong trend in exploring the structural and functional heterogeneity of synapses, the role of electrical synapses in synchrony, and the development of tools for imaging neurotransmitter dynamics. The articles span topics from molecular neuroscience to systems-level circuit modeling, reflecting an integrative approach to understanding brain function. Notable scientific contributions include: Demonstrating that synaptic diversity enables temporal coding of multisensory inputs (Nature Neuroscience, 2015) Revealing sublinear dendritic integration in cerebellar interneurons (Neuron, 2012, 2016) Developing and applying glutamate sensors for in vivo imaging (Nature Methods, 2018) Modeling how synaptic diversity supports sub-second time representation (Nature Communications, 2022) DiGregorio leads multiple ongoing projects funded by competitive grants, including an ERC Starting Grant (NEWRON). He mentors postdoctoral researchers and students, and his lab collaborates widely. He has developed methods for multi-site cerebellar recordings and two-photon neurotransmitter uncaging. His work is foundational for understanding how microcircuit properties enable precise neural representations of time and sensory context. He is actively involved in the neuroscience community, organizing and presenting at seminars, and his lab is part of the broader neuroscience and neuroengineering initiatives at the Institut Pasteur. He has not been marked as retired or deceased, and there is no indication he is a former staff member or part-time appointee.

Sheila Schindler-Ivensمشاهده پروفایل

دانشیار

• Neural Control of Movement
• Stroke Rehabilitation
• Locomotion Biomechanics
• +۲ مورد دیگر

Sheila Schindler-Ivens, PT, PhD is an Associate Professor in the Department of Physical Therapy at Marquette University's College of Health Sciences. She directs the Neuromuscular Control of Movement Laboratory , focusing on neurophysiological mechanisms of locomotion recovery post-stroke through electromyography (EMG) and functional MRI (fMRI) studies. B.S. in Physical Therapy (1989), Marquette University M.S. in Kinesiology (1997), Simon Fraser University Ph.D. in Rehabilitation Science (2001), University of Iowa Her research investigates cortical and spinal control of locomotion , particularly how direction-dependent phase shifts reveal altered sensory integration post-stroke. Key findings include reduced brain activation volume during locomotor tasks impaired biarticular muscle adaptation phase-advanced uniarticular muscle activity She has developed a patented fMRI-compatible pedaling device and novel rehabilitation strategies targeting interlimb coordination and paretic limb activation . Current projects examine global brain network function and cortical retraining approaches. Research team members include clinicians, engineers, and scientists at various academic levels. Collaborations exist with Drs. Brian Schmit, John LaDisa, and institutions like the Stroke Rehabilitation Center of SE Wisconsin . Funding sources include NIH's NICHD, American Heart Association, and Foundation for Physical Therapy Research.

• Neuroscience
• Biomedical Engineering
• Transcranial Magnetic Stimulation
• +۳ مورد دیگر

Dania Humaidan (Faculty) is affiliated with the Department of Neuroscience and Biomedical Engineering. Her research focuses on the intersection of neuroscience and biomedical engineering, particularly in advancing transcranial magnetic stimulation (TMS) technologies for clinical applications. Her recent work explores... Multi-locus TMS system design for clinical deployment Machine learning integration in EEG-TMS excitability decoding Real-time closed-loop brain state modulation These studies highlight her contributions to... Her research activities involve...

• High-resolution fMRI
• Ultra-high magnetic field MRI
• BOLD imaging
• +۳ مورد دیگر

Philipp Ehses is a Scientist at the Max-Planck-Institute for Biological Cybernetics and affiliated with the Department for Neuroimaging at the University of Tübingen, Germany. His work focuses on developing advanced MRI methodologies for distortion-free, high-resolution functional brain imaging. He earned a diploma in physics from Julius-Maximilians-Universität Würzburg (2005) and completed PhD research in experimental physics at the same university (2006-2011), supervised by Prof. Dr. Peter Jakob. His doctoral thesis addressed "New Strategies for Fast Parameter Mapping in Magnetic Resonance Imaging". Research Focus: Ultra-high field (9.4 T) BOLD fMRI optimization using echo-shifted gradient-recall sequences and parallel imaging Key Contributions: Combining echo-shifting with interleaved slice acquisition to reduce distortion artifacts and T2* blurring Findings: Demonstrated 40% BOLD activation in veins and 4% activation in motor cortex with 1mm resolution His current research explores trade-offs between image quality and scan time efficiency at ultra-high magnetic fields, including applications in auditory fMRI and signal processing techniques implemented through FSL FEAT analysis.

Kelly Goedertمشاهده پروفایل

استاد

• Cognitive Psychology
• Neuroscience
• Spatial Neglect Rehabilitation
• +۳ مورد دیگر

Kelly Goedert, Ph.D. is a Professor and Chair of the Department of Psychology at Seton Hall University. She holds a PhD in Cognitive Psychology from the University of Virginia (2001). Her research focuses on cognitive processes such as causal inference, spatial neglect rehabilitation, and educational pedagogy. She has authored/co-authored textbooks including Essentials of Statistics for the Behavioral Sciences (2024) and contributed to influential works on transformative teaching methods and statistical reasoning integration. Her research interests span cognitive psychology, neuropsychology, and educational strategies. Key areas include spatial neglect treatment mechanisms, causal judgment formation, and the application of statistical methods in behavioral sciences. She has investigated topics like prism adaptation effects on motor-intentional biases and the neurocognitive underpinnings of spatial neglect recovery. Recent grants include funding for projects like Essential Cognitive Science for Ethical and Effective Data Visualization (2023) and a cross-disciplinary study on speech production using fNIRS (2022). She actively presents at conferences such as the Annual Conference on the Teaching of Psychology and the Eastern Psychological Association meetings, focusing on open science practices and innovative teaching tools. Her work bridges clinical neuropsychology and academic pedagogy, emphasizing evidence-based interventions and curriculum development. Collaborations with colleagues like Dr. Nolan and Dr. Barrett highlight her role in advancing both theoretical and applied aspects of cognitive science.

Pauline Hiltمشاهده پروفایل

پژوهشگر

• Cognitive Sciences
• Motor Control
• Optimal Control of Human Movements
• +۳ مورد دیگر

Pauline Hilt is a Researcher (CR INSERM) at the Université de Bourgogne Franche Comté, affiliated with INSERM U1093 and the Institut Marey. Her work focuses on understanding motor control mechanisms, individual motor signatures, and the application of action observation in motor prevention and rehabilitation. She holds a PhD in Motor Decision and Modular Control from the University of Burgundy (2015) and has conducted postdoctoral research at the Italian Institute of Technology (2015-2020) and INSERM U1093 since 2020. Education: Bachelor's in Informatics and Mathematics (2010, Nancy University) Master's in Cognitive Science (2012, Cogmaster/Paris) PhD in Motor Control (2015, University of Burgundy) Research Interests: Her studies integrate computational motor control theories with neurophysiological techniques, exploring how individual motor capabilities influence perception and neural plasticity. She develops tools for motor prevention across populations, including aging and clinical groups, using action observation protocols. Key methods include motion capture, EEG, TMS, and statistical techniques like Granger causality and dimensionality reduction. Publications: Over 20 peer-reviewed articles since 2016, focusing on topics such as motor learning temporal dynamics, interindividual motor variability, and neural mechanisms of action observation. Notable work includes studies on age-related motor adaptation and time-of-day effects on skill consolidation. Teaching: Courses in informatics, motor control, and neurosciences at undergraduate and master’s levels, including contributions to marketing and alternative education programs. Labs/Teams: Core member of the INSERM U1093 lab, collaborating on projects like motor signatures in healthy/pathological populations and translational neurophysiology applications.

• Cognitive Neuroscience
• Brain Imaging (EEG, MRI)
• Brain Plasticity
• +۴ مورد دیگر

James Clara is a Professor and Head of Research & Development at the Geneva School of Health Sciences (HES-SO), Switzerland. He holds a Privat Docent position at the University of Geneva’s Faculty of Psychology and Educational Sciences (FPSE). His research focuses on cognitive neuroscience, brain plasticity, and music’s impact on cognitive development across the lifespan, particularly in aging populations and children. He leads multiple interdisciplinary projects funded by organizations like the Swiss National Science Foundation (FNS) and Alzheimer Switzerland. Key initiatives include studies on music interventions for mild cognitive impairment (COPE project) and cognitive enrichment through arts in early childhood. Education: Doctorate in Psychology (privat docent) from University of Geneva Research interests include: - Music-induced neuroplasticity in aging brains - Brain imaging techniques (MRI/EEG) - Cognitive and sensorimotor development through music - Healthy aging strategies - Music-related musculoskeletal health in students Current projects examine: - Effects of musical training on white matter microstructure in the fornix - Cognitive benefits of group music/visual arts practice in children - Psychomotor interventions for mild cognitive impairment patients Grants: Over CHF 1M in funding for projects like COPE (2020-2022) and ArODES (2018-2021) Collaborations: Universities of Geneva/Neuchâtel, HUG hospitals, Accademia d’Archi Laboratory affiliations include the NEAD lab at University of Geneva and the HES-SO Research Institute.

Fan Wangمشاهده پروفایل

استاد

• Neural circuits
• Pain perception
• Addiction
• +۳ مورد دیگر

Fan Wang is a Professor in the Department of Brain and Cognitive Sciences at MIT and Co-Director of the K. Lisa Yang and Hock E. Tan Center for Molecular Therapeutics. Her research focuses on neural circuits governing brain-body interactions, including pain perception, addiction, sensorimotor behaviors, and anesthesia mechanisms. She leads the Wang Lab, emphasizing collaborative, inclusive, and interdisciplinary research environments. Using genetic tools, in vivo imaging, electrophysiology, and behavioral tracking, her lab investigates circuits controlling vocalization-respiration coordination, active touch via whisker systems, and opioid addiction pathways. Recent breakthroughs include identifying central amygdala neurons activated by anesthetics that suppress pain and discovering neural oscillators mediating rhythmic whisking in rodents. Her team consists of postdocs (Nitsan Goldstein, Jinghao Lu), graduate students (Kian Caplan, Melissa Gonzalez), and technical associates (Ina Bando, Gabrielle Sevrain). The lab actively collaborates on projects like geometric deep learning for 3D kinematic analysis and premotor cortex atlasing. Key research directions include: 1) Developing CANE (Calcium-Activated Neuron Electrophysiology) tools to study pain circuits 2) Mapping addiction-related neuronal plasticity mechanisms 3) Elucidating anesthesia's anxiolytic effects via BNST circuits. Future work aims to translate these findings into non-opioid pain management strategies and addiction therapies.

• Cognitive Neuroscience
• Visual Perception
• Perceptual Learning
• +۳ مورد دیگر

Kayley Birch-Hurst is an Associate Lecturer and Post Graduate Researcher at the University of the West of England (UWE), affiliated with the Faculty of Health and Applied Sciences (HAS). She holds a BSc in Psychology from Cardiff University (2019) and is currently completing a PhD through the ESRC South West Doctoral Training Partnership, focusing on visual search mechanisms in radiologists using eye-tracking technology. Her roles include teaching the 'Developing Self and Society' module and supervising students at level 2. Her research interests span cognitive neuroscience, visual perception, and perceptual learning, with a specific emphasis on the cognitive and neural underpinnings of visual search. Her PhD project investigates radiological error mitigation through improved training interventions for professionals and machines. Key areas of expertise include sensorimotor simulation, effects of expertise on visual cognition, and the application of eye-tracking in understanding cognitive processes. Recent work explores reliability in experimental tasks measuring social cognition and visual search performance. Her research has been presented at conferences such as the European Conference on Visual Perception and the Vision Sciences Society. She has also contributed to peer-reviewed journals in vision science and cognitive neuroscience.

Michael Yartsevمشاهده پروفایل

دانشیار

• Neuroscience
• Neural Engineering
• Animal Behavior
• +۵ مورد دیگر

Michael Yartsev is an Associate Professor in Bioengineering, Helen Wills Neuroscience Institute, and Berkeley Nanosciences and Nanoengineering Institute at the University of California, Berkeley. His research focuses on understanding the neural mechanisms underlying complex spatial navigation, acoustic communication, and social behaviors using bats as model organisms. Key areas include developing wireless neural recording technologies for freely flying bats and studying vocal learning mechanisms through optogenetic tools. His lab's FAB (Fully Automated Bat) flight room enables human-free navigation studies. Current projects explore hippocampal coding of social interactions, spatial navigation in 3D environments, and the evolutionary basis of vocal learning. Research Interests: Neural basis of vocal learning and imitation 3D spatial navigation in flying mammals Social coordination and collective behavior Neural ensemble activity during complex behaviors Development of neurotechnology for freely moving animals Recent work highlights hippocampal representation of human experimenters, auditory feedback's role in vocal plasticity, and motor cortex evolution for flight/echolocation. Notable collaborations include the BRAIN Initiative's EAGER grant for wireless neural recording systems. Advising & Grants: Active grant support from NIH BRAIN Initiative (BRAIN EAGER: Going All Wireless, 2015). Mentors graduate students in neuroscience and bioengineering programs. Lab members work on interdisciplinary projects combining engineering, neuroscience, and computational modeling. Lab Infrastructure: The FAB flight room enables long-term studies of navigation without human intervention. Custom neural recording systems developed include wireless electrode arrays and optogenetic control modules for behaving bats.

Amanda Woodwardمشاهده پروفایل

استاد

• Infant Cognition
• Social Cognitive Development
• Imitation
• +۳ مورد دیگر

Amanda Woodward is the William S. Gray Distinguished Service Professor of Psychology at the University of Chicago and serves as Deputy Dean for Faculty Affairs in the Division of the Social Sciences. She holds a B.A. from Swarthmore College (1987) and a Ph.D. from Stanford University (1992). Her research focuses on infant social cognition, including how infants understand social structure, learn from cultural contexts, and develop neural processes underlying early social-cognitive abilities. She pioneered experimental methods to study infant social understanding, emphasizing imitation, theory of mind, and cross-cultural influences. Woodward has received prestigious awards such as the APA Boyd McCandless Award and is a fellow of the American Academy of Arts and Sciences. Her lab, the Infant Learning and Development Laboratory, investigates infants' understanding of social intentions, perceptions, and emotions. Notable students include Tess Fulcher, Natalie Brezack, and Haerin Chung. She teaches courses like Cognitive Development and From Action to Abstraction . Her work bridges developmental psychology with neuroscience, emphasizing how early experiences shape social cognition. Recent research explores racial categorization, cross-cultural learning strategies, and neural correlates of social perception.