جستجوی استاد راهنمای دانشگاهی

Christian Leiboldمشاهده پروفایل

استاد

• Neuroscience
• Neural Network Modelling
• Hippocampal Formation
• +۳ مورد دیگر

Prof. Dr. Christian Leibold is a former faculty member of the Faculty of Biology at Ludwig-Maximilians-Universität München (LMU). His research focuses on theoretical and experimental neuroscience, particularly the hippocampal formation's role in spatial navigation and temporal coding. He investigated topics such as auditory processing, phase precession in hippocampal neurons, and the interaction between brain regions like the medial entorhinal cortex and hippocampus. Research Interests: Modeling hippocampal sequences and spatial navigation Temporal processing in auditory brainstem circuits Neuronal mechanisms of grid cells and place fields Data analysis of hippocampal activity patterns Collaborations: University of California San Diego (UCSD) Charité – Universitätsmedizin Berlin Bernstein Center for Computational Neuroscience (BCCN) Munich His work combines computational modeling with experimental approaches, addressing how neural circuits process spatial and temporal information. He contributed to understanding axonal myelination dynamics and the role of medial superior olive neurons in auditory localization.

Andrew Nordinمشاهده پروفایل

استادیار

• Biomechanics
• Neural Engineering
• Neuromechanics
• +۴ مورد دیگر

Dr. Andrew Nordin is an Assistant Professor in the Department of Biomedical Engineering at the University of Houston's Cullen College of Engineering. His research focuses on neuromechanics, neural engineering, and biomechanics of human movement control during gait and locomotion. He holds degrees from Lakehead University (BS, HBK, MS) and the University of Nevada, Las Vegas (PhD), with postdoctoral training at the University of Michigan. Previously, he was a Research Assistant Scientist at the University of Florida and an Assistant Professor at Texas A&M University. Dr. Nordin's academic training spans biomechanics, physiology, neural engineering, and signal processing. His lab, the Nordin Neuromechanics Laboratory, develops methods for measuring electrophysiological signals (EEG/EMG) during dynamic movements. Current projects include studying brain-muscle dynamics during obstacle avoidance in virtual reality, bodyweight-supported treadmill walking, and dual-task gait asymmetries in older adults. His research integrates wearable sensors and machine learning to analyze movement biomechanics and neural control in real-world settings. Key areas of focus include neuromuscular adaptation, gait variability, and injury mechanisms. Dr. Nordin collaborates across disciplines to advance wearable technologies for clinical and sports performance applications. His publications emphasize EEG/EMG signal processing innovations to mitigate motion artifacts, and explore how gravitational environments (e.g., low-gravity simulations) affect balance control and cortical activity. Despite prolific publishing, no specific awards are listed in his profile. Lab activities include: 1) Biomechanics & Neural Engineering - hardware validation for mobile EEG/EMG systems; 2) Locomotion Neuromechanics - kinematic/kinetic analysis during walking/running; 3) Applied Neuromechanics - injury prevention strategies using wearable sensors. Office located in SERC 2020 with lab website at nordinlab.com .

Mehdi Adibiمشاهده پروفایل

پژوهشگر ارشد

• Systems Neuroscience
• Sensorimotor Processing
• Neural Coding
• +۹ مورد دیگر

Mehdi Adibi is a Research Fellow at Monash University's Department of Physiology and the Biomedicine Discovery Institute. He leads the Neurodigit Lab, focusing on neural coding and sensorimotor processing in rodents and humans. Previously, he held NHMRC CJ Martin and ARC DECRA fellowships. He earned his PhD in Neuroscience (2014, UNSW), MSc in Telecommunications Engineering (2008, Iran University of Science and Technology), and BSc in Electrical Engineering (Isfahan University of Technology). His research integrates electrophysiology, optogenetics, and behavioral paradigms to study tactile perception and sensorimotor integration. Key areas include whisker-mediated touch in rodents, cortical dynamics, and translational applications like stroke rehabilitation. Technological innovations include tactile stimulators and modular behavioral setups. He supervises PhD/Masters students and has received awards such as the ARC DECRA Fellowship (2019) and NHMRC CJ Martin Fellowship (2015). Community contributions include CSIRO's Scientists in Schools program and neuroscience outreach.

Jing Wangمشاهده پروفایل

استاد

• Pain Medicine
• Neuroscience
• Computational Neuroscience
• +۳ مورد دیگر

Jing Wang is a Professor at NYU Grossman School of Medicine, affiliated with both the Department of Anesthesiology, Perioperative Care, and Pain Medicine and the Department of Neuroscience . She specializes in pain medicine, combining clinical practice with research on brain circuits and pain regulation. Dual MD-PhD training (Columbia University, 2004 and 2003 respectively) Leadership roles: Director of Interdisciplinary Pain Program and Vice Chair, Research, in Anesthesiology Her research interests focus on cortical pain mechanisms, computational neuroscience for pain decoding, and brain-machine interfaces. Key areas include: Glutamatergic projections in pain modulation Ketamine studies for postoperative pain Machine learning for neural biomarkers of chronic pain Psychedelics in pain treatment Current clinical trials include: Chronic Pain and Postoperative Cognitive Function in the Elderly EEG Biomarkers for Acute-to-Chronic Pain Transition Predictive Biomarkers in Chronic Pancreatitis Pain Her work bridges molecular neuroscience , clinical applications , and real-time neural engineering for pain management.

• Neuroplasticity
• Visual Systems
• Neural Circuits
• +۵ مورد دیگر

Dr Jennifer Sun is a Lecturer at the UCL Institute of Ophthalmology, leading the Visual Plasticity Lab. Her research investigates how visual cortex integrates sensory and modulatory inputs to regulate neuroplasticity, with applications in vision recovery from aging, injury, and neurological disorders. PhD: University of Southern California (Circuit Computation, Sensory Cortical Development) Postdoc: University of California, San Francisco (Molecular Techniques, Electrophysiology, 2-Photon Imaging) Research interests focus on neuroplasticity mechanisms in visual systems using genetic, physiological, and computational approaches. Key areas include local circuit dynamics, brain region crosstalk, neuron-glial interactions, and translating findings into therapies via collaborations with clinicians at Moorfields Eye Hospital. Teaching roles include supervising PhD students (LiDo, Optical Biology, UCL-Birkbeck MRC DTP) and Master's students (MRes Brain Science, MSc Neuroscience). She organizes UCL's Visual Neuroscience (NEUR0017) and Systems and Circuit Neuroscience (ANAT0020) modules, plus Cold Spring Harbor's international Neural Data Science summer course. Labs/teams: Visual Plasticity Lab (UCL Institute of Ophthalmology), collaborating with Sainsbury Wellcome Centre, UCL bioengineers, and Moorfields Eye Hospital clinicians to explore health-disease plasticity differences.

Nick Audetteمشاهده پروفایل

استادیار

• Flexible Sensory Processing
• Thalamocortical Circuits
• Learning and Memory
• +۳ مورد دیگر

Nick Audette is an Assistant Professor in the Department of Psychological Sciences at the University of Connecticut (UConn). He leads the Audette Lab, established in January 2025 at the Storrs campus, where his team investigates how the brain integrates sensory input with environmental context and experience to enable perception. His research employs large-scale neural recordings in mice during acoustically enriched behaviors. Dr. Audette earned his Ph.D. in 2018 from Carnegie Mellon University. His primary research areas include: Flexible sensory processing in thalamocortical circuits Neural mechanisms of learning and memory consolidation Movement-based predictions in auditory cortex Stimulus-specific prediction error encoding His recent publications (2014-2025) demonstrate a consistent focus on predictive processing mechanisms in sensory systems. Key trends include: Thalamocortical plasticity during sensory learning Movement-related neural predictions in auditory cortex Stimulus-specific error detection neurons Translaminar circuit organization High-throughput analysis of neural plasticity Methodologically, his work combines electrophysiology, behavioral paradigms, and advanced imaging techniques. Dr. Audette currently advises two undergraduate researchers, Claudia and Ava, on a project developing high-throughput behavioral assays linking lever-press movements to auditory predictions in mice. The lab has secured space in UConn's Bousfield Psychology Building and plans electrophysiological investigations of sensory prediction encoding.

• Neuroscience
• Cortical Microcircuitry
• Sensory Processing
• +۴ مورد دیگر

Randy Bruno is Professor of Neuroscience at the University of Oxford, where he serves as a Tutorial Fellow at St Peter's College. He leads the Bruno Group within the Department of Physiology, Anatomy and Genetics (DPAG) in the Medical Sciences Division. His research focuses on understanding cortical microcircuitry and computation, particularly how different layers of the neocortex contribute to sensory perception, learning, and decision making. Bruno's lab primarily uses the rodent whisker-barrel system as a model to investigate these questions, as rodents rely predominantly on whisker-mediated touch to explore their world. The lab employs a multidisciplinary approach combining intracellular physiology, cellular imaging, optogenetics, computational modeling, and behavioral experiments. Recent publications (2021-2024) demonstrate a strong focus on dendritic computation, attentional mechanisms, cross-sensory integration, and the roles of different cortical layers in sensory processing and learning. His work spans from basic neural mechanisms to potential implications for understanding mental disorders that affect cortical circuits. The Bruno Group includes multiple postdoctoral researchers, research assistants, and graduate students working collaboratively. Current team members include Madison Bartley, Dahee Jang, Candice Lee, Ziyue Liu, Katy Willard, Hadas Sloin, Isabella Febbo, and Soumen Jana. His publications have received significant attention across academic and social media platforms, with multiple papers highlighted by news outlets and shared widely among researchers.

Yuxiao Zhouمشاهده پروفایل

استادیار

• Implantable device design
• Surgery planning
• Bone disease diagnosis
• +۴ مورد دیگر

Dr. Yuxiao Zhou is an Assistant Professor in the J. Mike Walker '66 Department of Mechanical Engineering at Texas A&M University, with an affiliation to the School of Engineering Medicine. His research focuses on multi-scale musculoskeletal biomechanics, addressing challenges in aging, bone disease, and injury through implantable device design, computational modeling, and medical imaging. He holds a Ph.D. in Mechanical Engineering from Pennsylvania State University (2020), an M.S. from Rutgers University (2015), and a B.S. from Harbin Institute of Technology (2012). Research interests include biomechanical analysis of bone-implant interactions, bone regeneration mechanisms, and mechanobiology. Dr. Zhou's lab develops patient-specific biomedical devices and computational tools for surgery planning and disease diagnosis. His work integrates advanced imaging techniques like micro-CT and atomic force microscopy (AFM) to study bone mechanics across scales. Key awards include the Maryland Stem Cell Research Fund Postdoctoral Fellowship (2021) and the C. Norwood Wherry Memorial Graduate Fellowship (2020). His research has led to innovations in bone implant design, osteoporosis treatment strategies, and tissue engineering scaffolds. Recent publications explore topics like mineralization processes in tooth development and wireless microfluidic systems for dental implants. Dr. Zhou collaborates on grants related to biomechanical modeling and medical device development. His lab emphasizes translational research, aiming to bridge engineering and clinical applications. Ongoing projects include 3D-printed oxygen-releasing scaffolds for bone regeneration and aerogel-based solutions for bone cement interfaces.

• Visual Neuroscience
• Cognitive Neuroscience
• Functional MRI (fMRI)
• +۵ مورد دیگر

Lars Muckli is a Professor of Visual and Cognitive Neurosciences at the University of Glasgow and serves as the Director of fMRI at the Centre for Cognitive Neuroimaging (CCNI). He is also the Co-chair of the 7T-Imaging Center of Excellence (ICE) MRI, where he has pursued two decades of research in functional MRI and multi-modal brain imaging. Research Focus: Muckli specializes in cortical feedback mechanisms, particularly layer-specific processing in the visual cortex. His work bridges visual perception, cognitive neuroscience, and neuroimaging methodology, with recent studies exploring contextual feedback, predictive coding, and neural dynamics during navigation. Editorial Contributions: He holds significant editorial roles, including Chief Editor for Perception Science at Frontiers in Neuroscience, Associate Editor for Brain Imaging Methods, and Review Editor for Brain Health and Clinical Neuroscience. These positions underscore his influence in advancing neuroimaging research and open science practices. Collaborations: Muckli collaborates across disciplines, contributing to studies on consciousness, clinical neuroscience, and neural computation. His lab focuses on understanding how the brain generates internal models and processes contextual and mnemonic information via feedback signals.

Ning Chengمشاهده پروفایل

استادیار

• Neurodevelopmental Disorders
• Autism Spectrum Disorder
• Fragile X Syndrome
• +۵ مورد دیگر

Ning Cheng is an Assistant Professor (Teaching & Research) at the University of Calgary's Faculty of Veterinary Medicine, with affiliations to the Alberta Children's Hospital Research Institute (ACHRI) and Hotchkiss Brain Institute (HBI). Their research focuses on neurodevelopmental disorders, particularly autism and Fragile X Syndrome, using rodent models to investigate mechanisms and develop experimental therapeutics. PhD in neuroscience from Johns Hopkins School of Medicine Postdoctoral work on neurological disorders at NIH Research spans molecular mechanisms, neural circuitry, and translational approaches to address social, communication, and behavioral challenges in autism spectrum disorders. The lab utilizes in vivo recording/modulation of brain activity, biochemical analyses, and multidisciplinary collaborations. Recent publications highlight expertise in EEG biomarker discovery, auditory processing abnormalities, ketogenic diet interventions, and ERK pathway modulation in mouse models of neurodevelopmental conditions. Key technologies developed include wireless cortical hemodynamic monitoring systems (TinyIOMS) and open-source electrophysiology tools (OSERR). As part of ACHRI's Precision Medicine & Disease Mechanisms program and HBI's Neurodevelopment/SCNIP strategic initiatives, Cheng contributes to university-wide efforts in Brain and Mental Health (2015-2021) and Child Health and Wellness (2020-2025).

Luca Vizioliمشاهده پروفایل

دانشیار

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

Luca Vizioli is an Associate Professor in the Department of Radiology at the University of Minnesota, affiliated with the Center for Magnetic Resonance Research. His work focuses on advancing neuroimaging techniques, particularly at ultrahigh magnetic fields (e.g., 10.5T), to enhance spatial and temporal resolution in functional MRI (fMRI). Research interests include RF coil design, noise reduction algorithms (e.g., NORDIC), and applications of deep learning to imaging challenges. Education details are not explicitly stated, though his PhD is noted. His research spans cutting-edge topics like laminar fMRI at UHF, denoising strategies for submillimeter resolution, and the impact of psychedelic substances on brain networks. He collaborates on tools like fMRIPrep Lifespan for developmental neuroimaging preprocessing. Key technical innovations include high-Quality 0.5mm isotropic fMRI leveraging random matrix theory and physics-driven AI, as well as multi-echo distortion correction frameworks. His work bridges engineering (coil design) and neuroscience (cortical processing mechanisms), with implications for understanding both normal brain function and neurological disorders.

Daniel O'Connorمشاهده پروفایل

استاد

• Systems Neuroscience
• Cognitive Neuroscience
• Computational Neuroscience
• +۱۵ مورد دیگر

Daniel O'Connor is a Professor of Neuroscience and Co-Director of the Neuroscience Training Program at the Department of Neuroscience, Zanvyl Krieger Mind/Brain Institute, Johns Hopkins University School of Medicine. He leads an active research laboratory investigating the neural circuits underlying touch perception in mice. His research focuses on understanding how brain dynamics give rise to sensory experiences by combining quantitative behavior, optogenetics, chemical-genetic perturbations, in vivo two-photon imaging, and electrophysiology. The lab studies how behavioral states such as attention modulate the flow of sensory information through cortical circuits, particularly examining the role of layer 4 stellate cells in early sensory cortex. The recent publications and associated code repositories (e.g., Finkel et al. 2024, Xu et al. 2021) reflect a strong emphasis on computational and systems-level analysis of neural circuits. These works span topics including neural coding, sensory gain control, cortical column dynamics, and the impact of behavioral context on perception. While no formal awards are listed in the provided texts, his leadership role in the Neuroscience Training Program and sustained research activity indicate recognition within the academic community. Daniel O'Connor mentors graduate students through the Neuroscience Training Program and the Biochemistry, Cellular and Molecular Biology Graduate Program. His lab provides interdisciplinary training at the intersection of experimental neuroscience and computational modeling. Although specific grants are not mentioned, the technical sophistication of the research implies substantial funding support. The O'Connor Lab is located on the second floor of Krieger Hall on the Homewood Campus of Johns Hopkins University, Baltimore, MD. The lab fosters a collaborative environment integrating experimental and computational approaches to unravel fundamental principles of mammalian brain function.

Sonia Garelمشاهده پروفایل

استاد

• Neuroscience
• Developmental Biology
• Neurodevelopmental Disorders
• +۵ مورد دیگر

Sonia Garel is a Professor in the Department of Biology at the École Normale Supérieure (ENS), Paris. She leads the Brain Development and Plasticity research team, focusing on understanding how embryonic programs and maternal signals control the assembly of functional forebrain circuits. Her work integrates experimental approaches in mice to study neuronal migration, axonal navigation, and microglial roles in brain morphogenesis. Research Interests : Gael's research explores mechanisms underlying cortical circuit formation, prenatal inflammation's impact on neurodevelopmental disorders (e.g., autism, schizophrenia), and microglia's roles in structural integrity during fetal brain development. Key areas include axonal guidance (thalamic and corticothalamic connections), Cajal-Retzius neuron dynamics, and the interplay between activity-dependent processes and environmental factors. Recent Work Trends : Her publications emphasize microglia's critical role in fetal brain development, serotonergic regulation of axonal plasticity post-preterm birth, and the biphasic effects of inflammation on inhibitory circuits. Recent studies also highlight microbiome influences on microglia and sex-specific developmental pathways. Lab & Collaborations : Her team collaborates with computational biologists and uses advanced imaging techniques. The lab investigates how intrinsic developmental programs and external signals (e.g., maternal environment) shape neural circuits, with implications for neuropsychiatric disease etiology.

Nancy Kopellمشاهده پروفایل

استاد

• Applied Mathematics
• Dynamical Systems
• Neuroscience
• +۳ مورد دیگر

Professor Nancy Kopell is a distinguished academic and mathematician at Boston University, holding the William Fairfield Warren Distinguished Professorship in the Department of Mathematics. She is also Co-Director of the Center for BioDynamics and has affiliations with the Department of Biomedical Engineering. Her research focuses on applied mathematics and dynamical systems, particularly the dynamics of the nervous system, including neural rhythms, cognitive processing, and anesthesia effects. Dr. Kopell has made groundbreaking contributions to understanding how brain rhythms underpin behavior, cognition, and neurological disorders. Educational Background: She earned her A.B. from Cornell University (1963) and a Ph.D. in Mathematics from UC Berkeley (1967). She has held academic positions at MIT and Northeastern University before joining BU in 1986. Research Interests: Dr. Kopell's work spans theoretical neuroscience, mathematical biology, and nonlinear dynamics. Key areas include: Rhythms in neural networks (gamma, beta, theta) Cell assembly coordination and synchronization Neurophysiological mechanisms of attention, memory, and decision-making Mathematical modeling of anesthesia and consciousness Geometric theory of singularly perturbed systems Awards & Honors: National Academy of Sciences (1996) American Academy of Arts and Sciences (1996) SIAM Fellow (2009) MacArthur Fellowship (1990-1995) Weldon Memorial Prize (2006) Grants & Collaborations: She has led numerous interdisciplinary projects, including the Cognitive Rhythms Collaborative and studies on thalamocortical interactions. Current grants include NIH-funded research on brain rhythms in attention and sleep. Labs & Teams: Her Neuronal Dynamics Group at BU investigates neural oscillations and their roles in cognition. Collaborators include neuroscientists, engineers, and computational biologists.

Katherine L. Perkinsمشاهده پروفایل

دانشیار

• Neurophysiology
• Epileptogenesis
• GABAergic Signaling
• +۴ مورد دیگر

Katherine L. Perkins, PhD is an Associate Professor in the Department of Physiology and Pharmacology at SUNY Downstate Medical Center, focusing on neurophysiology and epilepsy research . Her work investigates GABAergic signaling , interneuron networks , and extracellular space dynamics in seizure mechanisms. Research Themes: Depolarizing GABA responses in hippocampal neurons Interneuron network activation patterns Role of extracellular matrix in epilepsy Pharmacological modulation of seizure activity Key Techniques: Cell-attached and whole-cell patch-clamp recording, rodent brain slice models, synaptic current analysis. Her publications span Journal of Neurophysiology , Epilepsy Research , and Journal of Neuroscience , with a focus on synaptic transmission and neuronal excitability in epilepsy models. Collaborations: Sabina Hrabetova's lab (extracellular space studies)