جستجوی استاد راهنمای دانشگاهی

Anita Disneyمشاهده پروفایل

استادیار

• Neuromodulation
• Alzheimer's Disease Research
• Electrophysiology
• +۴ مورد دیگر

Anita Disney is an Assistant Professor of Neurobiology at Duke University and a Faculty Network Member of the Duke Institute for Brain Sciences and Center for Cognitive Neuroscience. Her research investigates neuromodulatory mechanisms in brain circuitry and pre-clinical Alzheimer's Disease neurochemistry using non-human primate models. Her educational background includes: Ph.D. from New York University (2005) Dr. Disney's research spans two integrated domains: Basic Research: Examining how acetylcholine, noradrenaline, serotonin, and oxytocin dynamically specify functional connectivity to enable flexible behavior Disease-Focused Research: Characterizing neurochemical alterations in the 20-30 year pre-symptomatic phase of late-onset Alzheimer's Disease (accounting for >95% of cases) Her lab pioneers question-driven methodology including novel biosensors combining electrophysiology with real-time neurochemical monitoring, proteomics, metabolomics, and comparative cortical anatomy. Analysis of her 15 most recent publications reveals persistent focus on cholinergic modulation in visual processing (60% of works), with increasing translational emphasis on Alzheimer's mechanisms since 2018. Her work consistently employs cross-species comparisons (macaque, marmoset, rodent) and integrates molecular, cellular, and systems-level approaches. No scientific prizes, fellowships, or medals were documented in the source material. However, her research program recently secured substantial funding through Duke's Research & Innovation Seed Grant program (December 2024; $2 million total). Dr. Disney leads an active research laboratory developing next-generation neurochemical monitoring tools. While specific advisees aren't listed, her lab trains researchers in electrophysiology, neuroanatomy, and proteomic techniques. Current funding supports her investigation of pre-clinical Alzheimer's biomarkers and neuromodulatory circuit dynamics. The Disney lab operates within Duke's neuroscience ecosystem as a core component of the Duke Institute for Brain Sciences, specializing in in vivo neurochemical-electrophysiological integration and comparative cortical architecture studies.

Daniel Huberمشاهده پروفایل

استاد

• Neuroscience
• Neurophysiology
• Optical Imaging
• +۲ مورد دیگر

Prof. Daniel Huber is a leading neuroscientist at the University of Geneva , focusing on understanding sensorimotor integration and cortical dynamics. His work bridges motor cortex research , optical imaging , and computational modeling to decode how neural circuits govern voluntary movements and tactile perception. Research spans rodent models and primate evolution through projects like the eLemur 3D brain atlas Key methodologies: in vivo two-photon microscopy , optogenetic manipulation , and biomechanical simulations Lab members include graduate students and collaborators studying Pacinian corpuscle physiology and forelimb motor control Recent publications reveal groundbreaking insights on lamellar Schwann cells' role in vibration perception , tonotopic mapping in the brainstem , and cross-species neural circuit comparisons . His team's 2025 Science Advances paper demonstrates Schwann cell contributions to mechanosensitivity using optogenetic inactivation. Current projects focus on neuronal network dynamics in decision-making and 3D anatomical frameworks for comparative studies. The lab's Swiss National Science Foundation grants and European Research Council funding enable these interdisciplinary approaches.

Gulcan Akgulمشاهده پروفایل

استادیار

• Neuroscience
• Developmental Neuroscience
• Cellular Neuroscience
• +۲ مورد دیگر

Gulcan Akgul serves as Assistant Professor of Research in Neuroscience at the Brain and Mind Research Institute, Weill Cornell Medical College since 2021, contributing to Cornell University's neuroscience enterprise through molecular and cellular investigations of neural circuit development. Her academic preparation includes: Ph.D. from State University of New York at Stony Brook (2012) B.S. from Bilkent University, Turkey (2004) Dr. Akgul's research centers on inhibitory interneuron biology, with sustained investigation into parvalbumin-expressing subtypes across cortical and hippocampal regions. Her work examines chemokine-mediated differentiation (Cxcl14), AMPA receptor dynamics, microglial-synaptic interactions, and pathological mechanisms in neurodevelopmental disorders like lissencephaly. This multidisciplinary approach bridges molecular neuroscience, neural development, and systems-level network function through electrophysiological, genetic, and anatomical methodologies. Analysis of her publication history (2010-2024) reveals three dominant research trajectories: (1) developmental specification of cortical interneuron subtypes, (2) synaptic regulation by glial and immune mechanisms, and (3) pathological hyperexcitability in neurodevelopmental disease models. Her work consistently appears in high-impact neuroscience journals including Cell Reports , eLife , and Journal of Neurophysiology , demonstrating methodological rigor in cellular and circuit-level analyses. As a core member of the Brain and Mind Research Institute, Dr. Akgul operates within Weill Cornell Medical College's collaborative neuroscience ecosystem, utilizing institutional resources for advanced molecular and electrophysiological investigations of neural circuit formation and function.

Sacha Nelsonمشاهده پروفایل

استاد

• Physiological Genomics
• Neuroscience
• Synaptic Plasticity
• +۳ مورد دیگر

Sacha Nelson is the Gyula and Katica Tauber Professor of Life Science in the Department of Biology at Brandeis University , with affiliations to the Neuroscience Program and the Benjamin and Mae Volen National Center for Complex Systems . His research focuses on physiological genomics of the mammalian neocortex , examining how genetic and epigenetic mechanisms maintain neuronal identity and connectivity in both healthy and disease states. Education : MD/PhD from University of California, San Diego; BA/BS from Brown University Nelson employs genetic, genomic, and electrophysiological approaches to study cortical development, function, and disease models. His work has implications for autism spectrum disorders, epilepsy, schizophrenia, and Alzheimer’s disease , with a focus on molecular mechanisms of circuit homeostasis and activity-dependent transcription . Recent publications emphasize transcriptional regulation in neocortical maturation, synaptic plasticity under activity deprivation, and molecular architecture of thalamic pathways. Key themes include neuronal identity , chromatin accessibility , and gene expression constraints in cortical networks. Scientific Awards : HHMI Senior Fellowship, GEAR Award, Henry Strage Award, Sloan Foundation Research Fellowship, NIH Postdoctoral Fellowship Nelson's work bridges molecular neuroscience and circuit physiology , contributing to understanding both normal sensory processing and disease-altered cortical function . His research team utilizes mouse models and genomic tools to explore these fundamental neurobiological questions.

Mingyao Liمشاهده پروفایل

دانشیار

• Bioinformatics
• Biostatistics
• Genetics
• +۲ مورد دیگر

Mingyao Li, PhD, is an Associate Professor of Biostatistics whose scholarship bridges high-dimensional statistics with modern genomics and spatial biology. Her work is recognised for advancing computational methods that dissect complex tissue architecture and disease heterogeneity at single-cell resolution. Research Interests Bioinformatics and computational biology Statistical methods for high-dimensional genomic data Single-cell and spatial multi-omics integration Genetics and genomics of cardiovascular and cancer systems Systems biology approaches to disease mechanisms Across more than one hundred peer-reviewed publications, Li’s research exhibits a clear trajectory from developing rigorous statistical frameworks—such as hypothesis testing in stochastic block models—to large-scale applications in human disease. A dominant theme is the fusion of spatial transcriptomics, single-cell multi-omics and AI-driven image analysis to uncover cell-type heterogeneity, lineage relationships and microenvironmental crosstalk in atherosclerosis, lung adenocarcinoma, pancreatic cancer and neurodegenerative disorders. Scientific Awards & Recognition While specific awards are not listed in the provided text, the consistent appearance of Dr Li as senior or corresponding author on high-impact papers in Nature family journals and the development of widely-used computational tools (e.g., MISO, iSCALE) attest to significant scholarly recognition. Research Support & Teams Granting agencies and collaborative networks are not explicitly detailed, but the scale and scope of the projects—from whole-organ spatial atlases to primate genome-editing studies—imply substantial multi-institutional funding and interdisciplinary teams integrating biostatisticians, wet-lab scientists and clinician-scientists.

• Neurobiology
• Brain Plasticity
• Proteomics
• +۳ مورد دیگر

Lutgarde Arckens is a full Professor at the Faculty of Sciences, KU Leuven, and chairs the Department of Biology. She leads research in neurobiology and aging studies, with affiliations to the KU Leuven Brain Institute (LBI) and the KU Leuven Institute for Single Cell Omics (LISCO). Research Focus: Cellular and systems-level brain plasticity in mammals Identification of area- and layer-specific proteins in visual/multisensory cortex plasticity Proteomic technologies (2D-DIGE, mass spectrometry imaging) for brain research Impact of healthy aging on the short-lived vertebrate Nothobranchius furzeri Her recent work explores: Neuroregeneration mechanisms in killifish after traumatic injury Microglia diversity in aging-related neurodegeneration Astrocyte roles in cortical plasticity and vision loss recovery Neuromuscular aging parallels between sarcopenia and ALS She serves on multiple institutional governance bodies including the University Council, Academic Council, and chairs the Departmental Council/Board of Biology. Her lab develops preclinical platforms for Parkinson’s disease and healthy aging therapies using killifish models.

Tomaso Poggioمشاهده پروفایل

استاد

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

Tomaso Poggio serves as the Eugene McDermott Professor in the Department of Brain and Cognitive Sciences at the Massachusetts Institute of Technology and holds appointments at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). He is a founding member of the McGovern Institute for Brain Research and currently directs the Center for Brains, Minds, and Machines (CBMM), a major NSF-funded collaboration headquartered at the McGovern Institute. His educational background includes: Ph.D. in Electrical Engineering and Computer Science, University of Genoa (1970) Poggio's research fundamentally bridges computational neuroscience and artificial intelligence, investigating how biological vision systems operate and how these principles inform machine learning architectures. His work spans theoretical foundations of learning algorithms, neural network modeling, and computer vision systems that emulate biological processes. Key contributions include regularization theory for learning, feedforward models of rapid object recognition, and mathematical analyses of deep versus shallow networks. Analysis of his publication history (1990-2016) reveals an evolving trajectory from foundational learning theory toward deep neural networks and biological vision modeling, with consistent emphasis on mathematical rigor. His recent work (2014-2016) demonstrates strong integration of computational neuroscience with deep learning, particularly in visual cortex modeling and face recognition systems. His distinguished scientific recognition includes: Foreign Membership in the Italian Academy of Sciences Fellowship in the American Academy of Arts and Sciences 2014 Swartz Prize for Theoretical and Computational Neuroscience As director of the Center for Brains, Minds, and Machines, Poggio leads one of the largest interdisciplinary collaborations in computational neuroscience, securing substantial NSF funding to advance research at the intersection of neuroscience, cognitive science, and artificial intelligence. While specific graduate students aren't listed in source materials, his leadership positions indicate extensive mentorship within the CBMM consortium. His laboratory ecosystem centers around the McGovern Institute and CBMM, which unites over 100 researchers from MIT, Harvard, Carnegie Mellon, and Rockefeller University to investigate intelligence through computational, neural, and behavioral approaches.

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)

Michael Brechtمشاهده پروفایل

استاد

• Neuroscience
• Somatosensory Cortex
• Memory Consolidation
• +۶ مورد دیگر

Michael Brecht is a Professor at Humboldt University of Berlin, Faculty of Life Sciences, Department of Biology. His research focuses on neural mechanisms underlying somatosensory processing, memory consolidation, kinship behavior, and social play. He leads a research group investigating brain circuits related to these functions, with particular emphasis on the lateral septum, periaqueductal gray, and somatosensory cortex. Professor Brecht's research interests include: Neural circuits for somatosensory processing and body map representation Mechanisms of memory consolidation from synapses to systems Neural basis of kinship behavior and social recognition Neurobiology of social play and vocal communication Spatial coding and navigation systems in the brain His recent publications reveal a consistent focus on understanding how specific brain regions encode social and sensory information. Brecht's work frequently employs advanced techniques including electrophysiology, calcium imaging, optogenetics, and large-scale neural recording to investigate circuit mechanisms. A notable trend in his research is the investigation of sex differences in neural processing, particularly in genital somatosensory representation, and the identification of specialized neural architectures for social behaviors like kinship recognition. Scientific contributions include: Discovery of nepotopy (topographical representation of kin/nonkin) in the lateral septum Demonstration of sex differences in genital cortex representation Identification of glycine-dependent mechanisms in social play behavior Mapping of vocalization-related activity in brainstem nuclei Elucidation of perirhinal input mechanisms for neocortical learning Professor Brecht actively mentors students and collaborates with researchers across multiple institutions. His laboratory investigates both fundamental neural mechanisms and their implications for understanding social behavior. Current work appears focused on understanding the molecular and circuit-level basis of kinship memory and the neural substrates of social play behavior across development.

Oliver Speckمشاهده پروفایل

استاد

• Memory Consolidation
• Cortical Connectivity
• Neuromodulation
• +۲ مورد دیگر

Oliver Speck is a Professor at Charité - Universitätsmedizin Berlin and principal investigator for Project B06 within the German Research Foundation (DFG)-funded Collaborative Research Center 1315 (SFB 1315), focusing on neural mechanisms of memory consolidation. His research centers on dynamic changes in layer-specific cortical connectivity and subcortical neuromodulation during memory formation. He employs advanced neuroimaging techniques to investigate how neural circuits reorganize during consolidation processes, bridging experimental psychology and systems neuroscience. As lead of SFB 1315 Project B06, Speck directs a multidisciplinary research group funded by the DFG to explore the intersection of cortical microcircuitry and neuromodulatory systems in memory. His work integrates computational modeling with human neuroimaging to decode memory-related neural plasticity. Speck heads a research team at Charité specializing in high-resolution fMRI and multimodal brain mapping. The group collaborates across neuroscience institutes to develop novel paradigms for studying memory consolidation in both healthy and pathological states.

John Reynoldsمشاهده پروفایل

استاد

• Neuroscience
• Vision Research
• Perception
• +۷ مورد دیگر

John Reynolds, PhD is a Professor at the Salk Institute for Biological Studies, holding the Fiona and Sanjay Jha Chair in Neuroscience. He leads the Systems Neurobiology Laboratory where he investigates the neural mechanisms underlying vision, perception, and conscious awareness. Reynolds earned his BS in Economics from the University of Pennsylvania and his PhD in Cognitive and Neural Systems from Boston University. He completed his Intramural Research Fellowship at the Laboratory of Neuropsychology, National Institute of Mental Health. Dr. Reynolds' research focuses on understanding how the brain constructs our perception of the external world. His laboratory develops computational models to explain neural mechanisms of vision and tests these using neurophysiology, optogenetics, and visual psychophysics. Key discoveries include developing an influential computational model of attention, demonstrating how brain activity fluctuations affect perception, and revealing that neural activity in the visual system is organized as traveling waves that regulate perceptual sensitivity. Analysis of his recent publications shows a strong focus on visual perception mechanisms, with particular emphasis on cortical layer-specific processing, traveling brain waves, and the relationship between neural activity patterns and perceptual outcomes. His work increasingly incorporates aging research, examining how cognitive decline relates to neural changes in the prefrontal cortex and visual system. 2022 AAAS Fellow - Recognized for distinguished efforts to advance science Reynolds has mentored numerous students and postdoctoral researchers who have gone on to establish independent careers, including Dr. Zachary Davis (now at University of Utah), Dr. Tom Franken (Washington University), and Dr. Anirvan Nandy (Yale University). His research is supported by significant funding, including a $1.2 million award from the Larry L. Hillblom Foundation to study age-related cognitive decline and its relationship to mitochondrial function and neuron metabolism. The Reynolds Lab maintains a collaborative environment with multiple research scientists, postdoctoral fellows, and students working together using advanced techniques including neurophysiology, computational modeling, visual psychophysics, two-photon microscopy, and optogenetics to decipher the neural mechanisms enabling perception and awareness.

Joseph Madsenمشاهده پروفایل

استاد

• Epilepsy
• Neurosurgery
• Brain Mapping
• +۶ مورد دیگر

Joseph Madsen is a Professor of Neurosurgery at Harvard Medical School and a neurosurgeon at Boston Children's Hospital. His career uniquely bridges clinical neurosurgery with fundamental neuroscience research, focusing on improving surgical treatments for epilepsy through advanced brain mapping techniques and physiological understanding. Dr. Madsen's educational background includes: Undergraduate studies at University of Utah (1976) Medical degree from Harvard-MIT Program in Health, Science, and Technology (1981) Surgical internship at Beth Israel Deaconess Medical Center (1982) Neurosurgery residency at Massachusetts General Hospital (1989) Fellowship at Beth Israel Deaconess Medical Center/Massachusetts General Hospital (1983) His research program integrates clinical data with basic neuroscience to develop safer, more effective epilepsy surgeries. A key focus is studying human electrocorticograms recorded during behavioral cortical tasks to answer fundamental questions about cortical physiology while simultaneously improving the ability to map cortical function for surgical planning. His laboratory combines digital signal processing, wavelet analysis, and cognitive science approaches to investigate brain function and epilepsy mechanisms. He also conducts significant research on vagal nerve stimulation for epilepsy treatment, examining both efficacy and safety profiles. Analysis of Dr. Madsen's recent publications reveals an increasingly sophisticated integration of computational approaches with neurophysiological data. His work on machine learning applied to intracranial EEG has advanced the identification of biomarkers for surgical planning and outcome prediction. There's also growing emphasis on genetic aspects of epilepsy and the detailed physiological mechanisms underlying seizure generation and propagation. Dr. Madsen has provided clinical and research leadership through numerous publications and patient care innovations, though specific awards are not highlighted in the available information. As a mentor, Dr. Madsen has likely guided numerous neurosurgery residents, fellows, and graduate students through his extensive career, contributing to the training of specialists in epilepsy surgery and functional neurosurgery. His research has been supported by various grants that have enabled the development of advanced techniques for brain mapping and epilepsy treatment. Dr. Madsen leads a research laboratory that uniquely combines clinical neurosurgery with fundamental neuroscience investigation. His team utilizes advanced technologies including digital signal processing, wavelet analysis, and cutting-edge cognitive science methods to study cortical physiology in humans. The laboratory environment facilitates the direct translation of clinical observations into basic research questions and vice versa, creating a powerful feedback loop for advancing epilepsy surgery techniques.