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نمایش ۳۱-۴۵ از ۱۷۷ استاد راهنما

اطلاعات پروفایل‌ها از صفحات عمومی دانشگاه‌ها گرفته شده و ممکن است به‌روز نباشد.

Monika P. Jadiمشاهده پروفایل

استادیار

Yale UniversityUnited States

Monika P. Jadi is an Assistant Professor at Yale School of Medicine , affiliated with both the Department of Psychiatry and Department of Neuroscience . Her work bridges computational neuroscience and neuroengineering, focusing on cortical circuit dynamics and dendritic computations. Ph.D. in Neuroengineering, University of Southern California (2010) Postdoctoral Training, Salk Institute Computational Neurobiology Laboratory (2017) Research spans computational principles of flexible brain information processing, utilizing applied physics and machine learning methodologies. Key interests include: Dendritic Synaptic Inhibition Cortical Oscillation Mechanisms Interneuron Class Modulation Population Coding Temporal Dynamics Neuromodulation in Columnar Circuits Recent publications examine spatial context effects on visual cortex information flow, brain-state dependencies in cortical processing, and primate behavioral modeling . The lab employs both computational modeling and in vitro experiments to dissect neural circuit properties. Awarded the NIH Pathway to Independence Award (K99/R00), her work receives institutional support from Yale's Molecular Psychiatry Division and Neuroscience Program . Collaborations span neurophysiology, computational modeling, and translational brain imaging initiatives.

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Dmitry Velmeshevمشاهده پروفایل

استادیار

Duke UniversityUnited States

Dmitry Velmeshev is an Assistant Professor in the Departments of Neurobiology and Biomedical Engineering at Duke University. He focuses on understanding human brain development and neurodevelopmental diseases at the single-cell level, particularly autism. His work integrates genomics, proteomics, and molecular biology to dissect genetic programs and neuronal circuitry. Ph.D., University of Miami (2016) Research interests include neurodevelopmental disorders, single-cell genomics, and molecular mechanisms of autism. Recent studies explore SARS-CoV-2 tropism for astrocytes, LRRK2 kinase activity in Parkinson’s disease, and glial roles in neurodegeneration. His lab employs transcriptomic and proteomic approaches to identify phenotypic modifiers in disease models. Selected publications highlight applications of single-cell analysis in autism and multiple sclerosis, proteomic mapping in neurodevelopmental models, and inflammation in neurodegenerative disease. No scientific awards or student advisees are mentioned in the provided text. He teaches courses such as NEUROSCI 494, NEUROSCI 493, NEUROBIO 790S, NEUROBIO 735, CMB 710F, and CMB 710E at Duke University.

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Timothy O’Connorمشاهده پروفایل

استاد

University of British ColumbiaCanada

Timothy O'Connor serves as Professor in the Department of Cellular & Physiological Sciences at the University of British Columbia's Faculty of Medicine. He holds concurrent appointments as Member of the Program in Cell and Developmental Biology, Member of iCORD (Collaborations on Repair Discoveries), Associate Member of the Department of Zoology, and Member of the Program in Neuroscience. His academic credentials include a BSc and PhD from the University of Toronto, establishing his foundation in cellular and developmental neuroscience. Dr. O'Connor's research centers on semaphorin-mediated axon guidance mechanisms in neural development, with particular emphasis on Semaphorin 5B's dual roles as repellent cue and synapse regulator. His laboratory employs advanced in vitro models including PC12 cell systems to investigate growth cone dynamics, neurite consolidation, and proteolytic processing of guidance molecules. Key methodologies span molecular assays, live-cell imaging, and functional characterization of neuronal morphogenesis pathways. Analysis of his 2009-2015 publications reveals a cohesive research trajectory focused on repulsive guidance cues in spinal cord innervation, corticofugal pathfinding, and hippocampal circuit refinement. His work consistently bridges molecular mechanisms (e.g., Sema5B proteolysis) with functional outcomes in neural circuit assembly, demonstrating how guidance molecules orchestrate sensory afferent projection and synapse elimination. The O'Connor Lab actively recruits highly motivated graduate students and postdoctoral fellows, requiring competitive academic records and research experience. Candidates are expected to pursue external funding through studentships and fellowships to support their work in developmental neurobiology. As part of UBC's Centre for Brain Health ecosystem, the lab maintains strong collaborative ties with iCORD on neural repair initiatives while advancing fundamental understanding of axon guidance principles applicable to regenerative medicine.

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Alfonso Renartمشاهده پروفایل

استاد

Champalimaud FoundationPortugal

Alfonso Renart is a Principal Investigator at the Champalimaud Foundation's Centre for the Unknown in Lisbon, Portugal. He leads the Renart Lab, which focuses on understanding the computational processes underlying decision-making and goal-directed behavior through rigorous quantitative investigation of neural mechanisms. Dr. Renart's research employs a multidisciplinary approach combining behavioral analysis, theoretical modeling, electrophysiological recordings, and optogenetic techniques. His lab primarily works with rodent models (rats and mice) to study how external influences and internal processes interact during decision specification. The research sits at the intersection of neuroscience, psychology, and computational modeling, with particular emphasis on teasing apart causal relationships in cognitive processes. Analysis of Dr. Renart's recent publications reveals several key research trajectories. A major theme involves investigating how spontaneous cortical state fluctuations influence perceptual decisions, with findings showing that response outcomes can gate these effects. Another significant contribution relates to neural recording technology, particularly the development and application of Neuropixels 2.0 for high-density, long-term brain recordings. His work also explores fundamental principles like the mechanistic foundation of Weber's law and the state-dependent geometry of population activity in sensory cortical areas. Dr. Renart has mentored numerous graduate students and postdoctoral researchers. His lab includes PhD students from various programs (INDP, INCDP, INPDP) as well as Master's students. Current lab members comprise postdoctoral researchers, research technicians, and students working on diverse projects related to decision neuroscience, reflecting his commitment to training the next generation of neuroscientists. The lab operates within the Champalimaud Centre for the Unknown, a research institution dedicated to advancing knowledge in neuroscience and oncology. Dr. Renart's work has been supported by significant funding sources including NIH grants (R01 DC005787, R01 MH073245), enabling his team to pursue innovative research at the cutting edge of systems and computational neuroscience.

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Lars Muckliمشاهده پروفایل

استاد

University of GlasgowUnited Kingdom

Lars Muckli is a Professor of Visual and Cognitive Neurosciences and Director of fMRI at the Centre for Cognitive Neuroimaging (CCNI) at the University of Glasgow. He is also Co-chair of the 7T-Imaging Center of Excellence (ICE). His research focuses on brain imaging techniques, cortical feedback mechanisms, layer-specific fMRI analysis, and computational neuroscience. He has led major initiatives like the ERC Consolidator Grant on 'Brain reading of contextual feedback and predictions' and contributed to the Human Brain Project (HBP). He holds a PhD from Goethe University Frankfurt (2002) and has worked at the Max-Planck Institute for Brain Research (1996–2007). Notable contributions include pioneering layer-specific fMRI studies, advancing predictive coding theories, and developing imaging techniques like line-scanning fMRI. His work spans multispecies studies, combining rodent and human neuroscience to model object recognition using deep networks constrained by multi-level data. Publications emphasize feedback signals in visual cortex, contextual processing, and cross-modal sensory integration. Key findings include evidence of predictive signals in V1 and decoding sounds in early visual cortex of blind individuals. His research bridges cognitive theories with neurobiological mechanisms, leveraging advanced imaging and computational methods.

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Anthony Holtmaatمشاهده پروفایل

استاد

University of GenevaSwitzerland

Anthony Holtmaat is a Professor and Group Leader in the Faculty of Medicine at the University of Geneva. He leads a research laboratory focused on synaptic plasticity and cortical network dynamics in the adult brain, utilizing in vivo imaging and molecular techniques in transgenic mouse models. Research Interests: His work centers on understanding how synaptic connectivity changes in response to experience and learning. Using longitudinal in vivo two-photon microscopy, his lab investigates dendritic spine and axonal bouton dynamics, synapse formation and elimination, and the molecular stability of synaptic proteins. His research integrates structural and functional analyses to explore how neural circuits adapt during sensory processing, memory formation, and aging. Recent Research Trends: His latest publications reveal a strong focus on thalamocortical feedback mechanisms, sensory-evoked cortical plasticity, and the regulation of neuronal excitability through metabotropic glutamate receptors. A landmark study generated a comprehensive atlas of synapse protein lifetimes across the mouse brain, linking synaptic stability to brain development, aging, and neurodevelopmental disorders such as autism and schizophrenia. Scientific Awards: No specific awards mentioned in the provided text. Advising and Grants: He mentors a diverse team of postdoctoral researchers, PhD candidates, and technicians, indicating active supervision and training. His research is supported by competitive funding, as evidenced by publications in high-impact journals and collaborations with international teams. The mention of NIH funding (R01 MH060919) in a co-authored paper suggests involvement in externally funded research projects. Laboratory and Team: His lab at the CMU (Centre Médical Universitaire) in Geneva includes多名 researchers such as Tanika Bawa, I-Wen Chen, and Ronan Chereau, working on various aspects of synaptic and circuit plasticity. The team employs cutting-edge techniques including two-photon calcium imaging, optogenetics, viral tracing, and advanced data analysis to dissect neural circuit function.

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Denis Jabaudonمشاهده پروفایل

استاد

University of GenevaSwitzerland

Denis Jabaudon is a Professor and Group Leader in the Department of Basic Neurosciences at the Faculty of Medicine, University of Geneva, where he leads a research laboratory at Campus Biotech. His work focuses on the genetic and molecular mechanisms governing cortical neuron circuit assembly during development. His research interests include developmental neurobiology, neuronal circuit formation, gene expression dynamics in neural progenitors and postmitotic neurons, thalamocortical connectivity, and neural plasticity. He investigates how intrinsic genetic programs and sensory experience interact to determine neuronal identity and circuit function. His lab employs techniques such as in vivo electroporation, transgenic mouse models, single-cell RNA sequencing, and electrophysiology. The most recent publications highlight a strong trend in understanding the temporal patterning of neural progenitors and how this influences the sequential generation of diverse neuronal subtypes. His work demonstrates that molecular birthmarks in progenitors are transmitted to daughter neurons, which then undergo activity-dependent refinement. This research bridges developmental biology, epigenetics, and systems neuroscience, with implications for brain repair and reprogramming. Scientific Awards and Funding: Swiss National Science Foundation Grant (PP00P3-123447) Velux Foundation Funding 3R Foundation Funding Brain and Behavior Research Foundation Funding Joint Leenaards Foundation for Scientific Research Award Denis Jabaudon actively mentors a team of early-career researchers. His lab includes scientific collaborators such as Riccardo Bocchi and Sabine Fièvre, postdoctoral researchers like Awais Javed and Sergi Roig Puiggros, and graduate students including Eline Balavoine, Natalia Baumann, and Moein Sarhadi. His research has been supported by multiple competitive grants, indicating sustained funding and scientific impact. The lab’s work contributes significantly to understanding the fundamental principles of brain development and plasticity. Laboratory and Team: The Jabaudon lab is based at Campus Biotech in Geneva and comprises a multidisciplinary team of scientific collaborators, postdoctoral fellows, graduate students, and technical staff, working collaboratively on projects related to neocortical development and circuit assembly.

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Natalia DeMarcoمشاهده پروفایل

دانشیار

Cornell UniversityUnited States

Natalia DeMarco is an Associate Professor of Neuroscience at the Feil Family Brain & Mind Research Institute, Weill Cornell Medical College. Her lab investigates how genetic programs and neuronal activity interact during early brain development, focusing on inhibitory interneurons and their role in neurological disorders like autism, schizophrenia, and epilepsy. PhD, Columbia University (2007) Postdoctoral Fellowship, Patterson Trust (2009) DeMarco’s research explores mechanisms behind excitatory/inhibitory imbalance in the brain, using mouse models to study: Neurotransmitter roles (glutamate, GABA) in interneuron maturation Electrophysiology and viral tracing for circuit analysis Developmental origins of cortical connectivity Implications for autism, schizophrenia, and epilepsy Her 15 most recent publications (2023–2002) highlight trends in cortical circuit assembly, GABA signaling, and interneuron dysfunction. Keywords span neuroscience, genetics, and neurodevelopmental disorders, with subfields like synaptic connectivity, mouse genetics, and activity-dependent plasticity. Scientific awards include: K99/R00 Pathway to Independence Award (2012) Leon Levy Fellowship (2016) Irma Hirschl Career Scientist Award (2020) 2023 Paper of the Year (Babij, Ferrer et al.) DeMarco mentors MD/PhD students (e.g., Andrew Iannone, Rachel Babij) and collaborates with institutions like NYU, Stony Brook, and INSERM. Her lab, located in Manhattan, utilizes techniques such as optogenetics and in vivo imaging to study cortical development. Grants include R01 funding from NIMH and NINDS.

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Moataz Assemمشاهده پروفایل

پژوهشگر ارشد

University of CambridgeUnited Kingdom

Moataz Assem is a Wellcome Trust Early Career Fellow at the MRC Cognition and Brain Sciences Unit , University of Cambridge. Affiliated with the Cambridge Neuroscience network, his work focuses on the neural basis of human intelligence through advanced neuroimaging techniques. School: Clinical Medicine His research examines the multiple-demand (MD) cortical circuit —its anatomical precision, functional dynamics, and role in cognitive control. Using fMRI , intracranial EEG , and concurrent TMS-fMRI , he explores how this network organizes thoughts and behavior, including its interaction with sensory-biased regions. Key publications span 2025-2019 in journals like Neuropsychologia , Cerebral Cortex , and Trends in Cognitive Sciences , addressing topics such as domain-general vs. domain-specific brain regions , task coding , and neurostimulation protocols . His 2025 work reveals a patchwork organization of intelligence-related cortical regions. Scientific accolades include the Wellcome Trust Early Career Award (2024). Collaborators span institutions like Harvard , Washington University , and Stanford , with ongoing projects testing PhD candidates and postdocs in computational psychiatry and neuroimaging.

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Riccardo Beltramoمشاهده پروفایل

استادیار

University of CambridgeUnited Kingdom

Riccardo Beltramo is an Assistant Professor and University Lecturer in Neurophysiology at the Department of Physiology, Development and Neuroscience, University of Cambridge. As a Sir Henry Dale Fellow, he leads research on neural circuits in visual processing, spatial navigation, and cognitive control. His lab investigates how ancient and modern brain regions like the superior colliculus and visual cortex interact to produce adaptive behaviors. Key techniques include chronic electrophysiology, two-photon imaging, optogenetics, and virtual reality behavioral paradigms, focusing on stress-induced anxiety and sensory processing pathologies. Recent publications highlight studies on tecto-thalamic pathways, somatosensory cortical dynamics, and evolutionary integration of visual systems. His work combines single-cell RNA sequencing, structured illumination, and advanced photonic tools to dissect neural circuitry. Eppendorf & Science Prize (2020) Sir Henry Dale Fellowship Current students include PhD researchers Sally Zeidan and Maja Skretowska. Lab contact: beltramolab@gmail.com

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Miguel Maravallمشاهده پروفایل

استاد

University of SussexUnited Kingdom

Professor Miguel Maravall is a Professor of Neuroscience at the School of Life Sciences, University of Sussex , where he also serves as Deputy Head of School (Research) . With a background in Physics, his career transitioned to systems neuroscience through postdoctoral work at Cold Spring Harbor Laboratory and SISSA. He led a lab at the Instituto de Neurociencias in Alicante (2004-2015) before joining Sussex. His research focuses on principles of sensory coding in the brain , particularly how neuronal populations encode tactile information via the mouse whisker system . Techniques include two-photon imaging , electrophysiology , and behavioral task design . Funding comes from the MRC , BBSRC , and the Royal Society . His publications highlight trends in sensory adaptation , cortical circuit dynamics , and optical imaging innovations . Awards include the Ramon y Cajal Fellowship , Marie Curie Fellowship , and La Caixa Foundation Studentship . He has held leadership roles in Athena SWAN and Equality, Diversity & Inclusion initiatives at Sussex. Email : M.Maravall@sussex.ac.uk Phone : +44 (0)1273 877263 As co-director of the Sussex Neuroscience Centre (2019-2025), he supports PhD programs and seed funding for researcher innovations. His work bridges experimental and computational neuroscience .

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Daniel Adolfo Llanoمشاهده پروفایل

استاد

University of Illinois Urbana-ChampaignUnited States

Daniel Adolfo Llano is a Professor at the University of Illinois at Urbana-Champaign with multiple appointments: Professor in the Department of Molecular and Integrative Physiology, Neuroscience Program, and Biomedical and Translational Sciences. He serves as Director of the MD/PhD Medical Scholars Program at Carle Illinois College of Medicine and Theme Lead at the Beckman Institute for Advanced Science and Technology. His office phone is (217) 244-0740. Dr. Llano leads a laboratory investigating auditory processing mechanisms, particularly how complex sounds like speech are decoded by the brain. His research focuses on: Descending cortical projections in auditory processing Neural basis of generative sensory models Aging-related auditory network dysfunction Neurodegenerative disease mechanisms (especially Alzheimer's) Using electrophysiological, optical, and anatomical approaches, his team studies cortical-subcortical interactions in the auditory pathway. His recent publications (2019-2025) demonstrate strong focus on: Advanced neuroimaging techniques (super-resolution ultrasound, two-photon microscopy) Alzheimer's biomarkers (pTau proteins, amyloid detection) Auditory system organization (cortical layers, inferior colliculus) Neurovascular relationships in neurodegeneration Environmental impacts on auditory processing Major Scientific Honors: Presidential Early Career Award for Scientists and Engineers (PECASE, 2019) Helen Corley Petit Scholar (2017) Benjamin Goldberg Professorial Scholar (2017) Advances in Medicine Award, Carle Hospital (2016) Golden Apple Teaching Award (2015) Excellence in Teaching Recognition (2012-2019, 2021) Dr. Llano leads a research team at the Beckman Institute focusing on auditory neuroscience and neurodegenerative diseases. The laboratory employs cutting-edge techniques including in vivo two-photon imaging, ultrasound localization microscopy, and electrophysiology to study auditory processing and neurovascular changes in aging and disease models.

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Shane Crandallمشاهده پروفایل

استادیار

Michigan State UniversityUnited States

Shane Crandall serves as Assistant Professor in the Department of Physiology and BioMolecular Science Gateway at Michigan State University, where he directs research in the Neuroscience Program. His laboratory operates from the Biomedical Physical Sciences Building (Room 2100) in East Lansing, Michigan. His academic training includes: B.A. in Neuroscience, Boston University (2005) Ph.D. in Neuroscience, University of Illinois Urbana-Champaign (2012) Postdoctoral Fellowship, Brown University (2012-2017) Dr. Crandall's research program investigates neural circuit mechanisms underlying sensory perception, with primary focus on dynamic neocortex-thalamus interactions. His laboratory examines how these circuits process signals essential for sensation, movement, and cognition, and how their dysfunction contributes to neurological disorders including epilepsy and Tuberous Sclerosis Complex (TSC). Key methodologies include: Electrophysiological and optical recording in awake behaving mice Multi-scale circuit analysis from single neurons to network dynamics Studies of corticothalamic and intracortical pathway modulation TSC-related circuit abnormality characterization Analysis of recent publications (2022-2024) reveals intensifying focus on layer 6 corticothalamic feedback circuits and motor-sensory integration. His team employs selective optical stimulation to dissect parallel pathways, demonstrating how specific interneuron subtypes (particularly somatostatin-expressing) mediate top-down modulation of somatosensory processing. This work establishes critical links between circuit dynamics and neurological disease mechanisms. Dr. Crandall actively mentors postdoctoral researchers, Ph.D. students, and undergraduates, with current recruitment ongoing for all levels. His laboratory maintains strong collaborative ties within MSU's Neuroscience Program and Department of Physiology. The research facility in Biomedical Physical Sciences Building integrates advanced electrophysiology with optical techniques for comprehensive neural circuit analysis in both in vitro and awake behaving preparations, supporting investigations into fundamental sensory processing mechanisms and disease models.

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Weili Linمشاهده پروفایل

استاد

University of North Carolina at Chapel HillUnited States

Weili Lin is the Dixie Lee Boney Soo Professor of Biomedical Engineering and Radiology at the University of North Carolina. Her research focuses on advancing neuroimaging techniques and understanding developmental brain processes, particularly in pediatrics. She leads projects integrating machine learning with medical imaging to study neurocognitive development, prenatal exposures, and functional connectivity. Key research interests include MRI technology innovations, longitudinal brain mapping, and AI-driven analysis of neurodevelopmental data. She collaborates on large-scale initiatives like the UNC/UMN Baby Connectome Project, investigating infant brain maturation and environmental impacts. Her work spans clinical and computational domains, addressing challenges in fetal imaging, motion correction, and harmonization of multi-site datasets. Recent studies explore the effects of phthalates and opioids on infant neurodevelopment, leveraging GANs, transformers, and federated learning for predictive modeling. Lin’s contributions include developing pipelines like iBEAT V2.0 for infant cortical surface reconstruction and frameworks for functional parcellation. She emphasizes translational research bridging imaging technology and clinical insights.

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Michael J Hawkenمشاهده پروفایل

استاد

New York UniversityUnited States

Michael J. Hawken is a Professor of Neural Science at New York University's College of Arts & Science. He holds a Ph.D. from the University of Otago. His research focuses on understanding how visual perception arises from neural circuits in the primate visual cortex, combining connectomics, functional characterization of receptive fields, and computational modeling. Key areas include neuronal population dynamics, functional clustering in cortical layers, and long-range circuit motifs. Research emphasizes structural connectomics (e.g., thalamic inputs to V1 layer 4C), functional clustering of neurons in layer 6, and computational models simulating cortical dynamics. Collaborations with NYU mathematicians have produced large-scale models of V1 layers, exploring direction selectivity and feedforward information flow. Publications span over three decades, with recent work in Journal of Neuroscience , PNAS , and Current Opinion in Physiology . His studies bridge neurophysiology and theory, addressing how cortical circuits underpin visual perception. Notable contributions include defining laminar distributions of neuronal subtypes (Kv3.1b, PV) and identifying functional clusters through multi-dimensional stimulus analysis. Ongoing projects extend findings to human cortex to compare macaque-human homologies.

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