جست‌وجوی استاد و پژوهشگر

• Neuroscience
• Neural Circuits
• Cerebral Cortex
• +۱۰ مورد دیگر

Jessica Cardin is a Professor of Neuroscience at Yale School of Medicine, where she also serves as Deputy Chair in the Department of Neuroscience. She holds secondary appointments in Psychiatry and is affiliated with multiple interdisciplinary programs including the Interdepartmental Neuroscience Program, Kavli Institute for Neuroscience, Wu Tsai Institute, and the Yale Combined Program in the Biological and Biomedical Sciences (BBS). Her research is centered on cortical circuit dynamics, particularly the interactions between excitatory and inhibitory neurons in sensory processing and disease. PhD, University of Pennsylvania (2004) BA in Biology, Cornell University (1997) Her research investigates the bidirectional relationship between neurons and networks in the cerebral cortex, focusing on cellular and synaptic mechanisms, network interactions, and behavior. Key areas include visual gain control, signal flow across cortical layers, and the role of inhibitory interneurons in regulating perception. Using in vivo intracellular and extracellular recordings, optogenetics, and chronic tetrode recordings in awake behaving animals, her lab explores how neural circuits function in health and are disrupted in conditions like epilepsy and schizophrenia. Her recent publications span topics such as thalamocortical signaling, cholinergic arousal in seizures, VIP interneuron function, and the development of neural integro-differential equations, reflecting a strong integration of experimental and computational neuroscience. Her work frequently appears in top journals like Cell Reports , Nature Neuroscience , and Neuron . Jessica Cardin has received numerous honors, including: McKnight Scholar Award Smith Family Award for Excellence in Biomedical Research Alfred P. Sloan Fellowship Klingenstein Fellowship Narsad Young Investigator Award She has been actively involved in the neuroscience community, serving as chair for the COSYNE meeting. She mentors trainees through the BBS program and leads a vibrant research group investigating fundamental questions in cortical function. Her lab is part of Yale’s broader neuroscience ecosystem, collaborating with leading researchers such as Michael Higley, Michael Crair, and Quentin Perrenoud. She is also engaged in interdisciplinary initiatives that combine neuroscience with AI and engineering.

• Neuroscience
• Cortical Microcircuits
• Inhibitory GABAergic Circuits
• +۱۲ مورد دیگر

Michael J Higley is Professor of Neuroscience and Associate Professor of Biomedical Engineering and Psychiatry at Yale School of Medicine. He is a member of the Program in Cellular Neuroscience, Neurodegeneration and Repair (CNNR) and the Wu Tsai Institute, and serves as Associate Director of the MD-PhD Program. Department of Neuroscience – Primary Department of Biomedical Engineering – Secondary Department of Psychiatry – Secondary Interdepartmental Neuroscience Program Kavli Institute for Neuroscience Wu Tsai Institute Education: BA, Cornell University, 1998 PhD, University of Pennsylvania, 2007 MD, University of Pennsylvania, 2007 Postdoctoral Fellow, Sabatini Lab, Harvard Medical School Dr. Higley's research centers on the development, function, and plasticity of inhibitory GABAergic circuits in the neocortex. He investigates how the balance between excitation and inhibition is maintained by diverse interneuron subtypes, particularly somatostatin-expressing cells, and how neuromodulators like acetylcholine and norepinephrine regulate cortical dynamics. His work also explores cortical microcircuits in visually-guided behavior and models of neuropsychiatric disorders such as autism and schizophrenia using genetic and viral tools. His recent publications (2020–2024) highlight advancements in mesoscopic and two-photon imaging, functional connectivity analysis, and the development of novel optical tools. These works reflect a strong interdisciplinary approach combining neuroscience, engineering, and computational methods to understand large-scale brain dynamics and behavior. Scientific Awards: NIH Director's Pioneer Award Whitman Fellowship Inaugural Spector Award for Junior Neuroscientists Basil O'Connor Starter Scholar Award NARSAD Young Investigator Award Sloan Research Fellowship Klingenstein Fellowship Dr. Higley leads an active research program with significant grant support and collaborative ties with prominent neuroscientists including Jessica Cardin, Michael Crair, and others. He mentors trainees and contributes to academic leadership through his role in the MD-PhD Program. His lab develops and applies cutting-edge technologies to probe cortical circuits in health and disease. Laboratory: Higley Lab, located at 100 College Street, Room 1020, New Haven, CT. The lab utilizes advanced techniques including in vivo imaging, optogenetics, electrophysiology, and viral vector strategies to study cortical function and dysfunction.

• Neuroscience
• Psychobiology
• Cognitive Neuroscience
• +۶ مورد دیگر

Dr. Monica Maranesi is a researcher at the Department of Medicine and Surgery, University of Parma, specializing in psychobiology and cognitive neuroscience. Her academic career includes teaching roles in courses such as "Animal and Comparative Psychobiology," "Neural Bases of Sensorimotor Functions," and "Psychobiology of Sports" since 2018. Research Focus: Mirror neuron systems, motor cortex neurophysiology, neural coding for action execution/observation, and sensorimotor integration in primates Key Publications: 15+ peer-reviewed studies on macaque motor systems (2011–2025), including works on mirror neurons, affordance processing, and neural decoding mechanisms Methodologies: Single-neuron recording, intracortical microstimulation, 3D microelectrode arrays, and computational modeling Collaborations: Frequent co-author with Prof. Leonardo Bonini and colleagues in primate neurophysiology research

• Neuroscience
• Physiology
• Cognitive Neuroscience
• +۵ مورد دیگر

Stefano Rozzi is an Associate Professor of Physiology at the University of Parma within the Department of Medicine and Surgery . His research focuses on the multidisciplinary study of the cerebral cortex using anatomical and physiological techniques. Education : Medical Doctor (MD), University of Pavia PhD in Neuroscience, University of Parma Research Interests : Neural networks in the insular cortex Motor control and sensorimotor transformations Mirror neuron systems in action perception Prefrontal cortex and executive functions Visual stream integration in motor tasks Cortical connections of premotor areas Teaching Appointments : Neuroscience of Cognitive and Motor Functions (2025/2026, First Cycle Degree) Physiology courses across multiple programs (2013–2025) Office Location : Plesso Biotecnologico Integrato, Via Volturno 39, 43125 Parma, Italy.

Paul E. Duxمشاهده پروفایل

استاد

• Cognitive Psychology
• Neuroscience
• Attention Mechanisms
• +۷ مورد دیگر

Professor Paul E. Dux is a distinguished psychologist and neuroscientist serving as Professor and Deputy Head of School (Research) in the School of Psychology at The University of Queensland. He received his PhD from Macquarie University and completed a postdoctoral fellowship at Vanderbilt University before joining UQ's faculty in 2009. His research focuses on the cognitive and neural underpinnings of human information-processing capacity limitations in both health and disease. Professor Dux leads a research group that employs cutting-edge techniques including transcranial direct current stimulation (tDCS), functional magnetic resonance imaging (fMRI), and advanced cognitive testing methodologies. His work spans multiple research centers including the Centre for Perception and Cognitive Neuroscience. His primary research interests encompass attention mechanisms, executive function, cognitive training, brain stimulation techniques, and the neural basis of multitasking limitations. Professor Dux has published extensively with over 138 journal articles, 2 book chapters, and numerous other publications to his name. His recent work has focused on neurochemical predictors of cognitive performance, mind wandering mechanisms, and the application of brain stimulation techniques for cognitive enhancement across diverse populations including children with brain injuries and adolescents. He has successfully attracted significant research funding from major Australian research councils including the Australian Research Council (ARC) and National Health and Medical Research Council (NHMRC). His current projects include 'Using real-time neurofeedback to enhance human sustained attention' (2025-2027) and 'Neurochemical predictors of cognition and the impact of brain stimulation' (2023-2026), demonstrating continued relevance and productivity in his field. Professor Dux actively supervises numerous PhD students both as principal advisor and associate advisor, with recent completions including dissertations on mind wandering, cognitive performance after brain injury, and brain stimulation applications. His supervision extends across multiple projects investigating the neural substrates of cognition, metacognition, and cognitive enhancement techniques, reflecting the breadth and depth of his research program. His laboratory work frequently involves collaborations with researchers including Dr. Hannah Filmer, Dr. Timothy Ballard, and Professor Jason Mattingley, forming a robust research network focused on cognitive neuroscience and neurostimulation techniques. This collaborative approach has enabled him to conduct multimodal research that bridges behavioral, neural, and neurochemical levels of analysis.

Angus Chadwickمشاهده پروفایل

مدرس

• Computational Neuroscience
• Artificial Intelligence
• Neural Circuit Dynamics
• +۱۲ مورد دیگر

Angus Chadwick is a Lecturer in Computational Neuroscience and Artificial Intelligence at the Institute for Adaptive and Neural Computation, School of Informatics, University of Edinburgh. He leads a research group focused on understanding neural circuit computations underlying perception and cognition, combining mathematical modeling, machine learning, and analysis of large-scale neural recordings. His research interests include: Neural dynamics in learning and attention Representation of space in hippocampus and entorhinal cortex Visuo-spatial processing in the brain Development of normative and mechanistic models of neural computation His recent publications demonstrate a strong focus on understanding how cortical and hippocampal circuits adapt during learning and attention, using dynamical systems theory and multivariate statistical modeling. His work bridges experimental neuroscience with artificial intelligence, particularly in modeling neural representations and their transformations during cognitive tasks. Scientific contributions and recognition: Published in top journals including Neuron , Nature Neuroscience , and eLife Co-senior author on high-impact studies in hippocampal coding Equal contribution author on seminal work in cortical interneuron dynamics He actively supervises PhD and Masters students and supports postdoctoral grant applications. His group is involved in international collaborations and develops open-source code. He teaches courses in computational and cognitive neuroscience and organizes training programs for graduate students in neuroinformatics.

• Neuroscience
• Visual Cortex
• Synapse
• +۳ مورد دیگر

Christian A. Lohmann is a Professor at the Faculty of Science, Vrije Universiteit Amsterdam, and holds an appointment at Amsterdam Neuroscience (Cellular & Molecular Mechanisms). His research focuses on neural development, synaptic organization, and in vivo imaging techniques. Research Interests Visual cortex development Synaptic plasticity and connectivity Dendritic function and morphology Calcium imaging and optogenetics Neuronal activity regulation Recent Contributions His work explores how spontaneous activity shapes cortical circuits, including the development of wireless LED implants for chronic manipulation in neonatal mice. Publications highlight mechanisms of synapse clustering, mitochondrial motility, and interneuron roles in cortical maturation. Affiliations Ancillary activities at KNAW (Royal Netherlands Academy of Arts and Sciences) since 2008 Amsterdam Neuroscience - Cellular & Molecular Mechanisms

David Sheinbergمشاهده پروفایل

استاد

• eye movements
• microstimulation
• neural coding
• +۷ مورد دیگر

David Sheinberg is a Professor in the Department of Neuroscience at Brown University, with a research focus on how the brain processes dynamic sensory information for object and scene recognition. He earned his AB in Computer Science and Psychology from Yale University (1989) and a PhD in Cognitive Science from Brown (1994), followed by postdoctoral training at Baylor College of Medicine and the Max Planck Institute. Research Areas: Neural coding, optogenetics, visual attention, object recognition, and perceptual learning in primates. Awards: National Science Foundation Graduate Fellowship (1993), Sloan Fellow (2001-2002), and Manning Assistant Professor (2005). Recent Publications: Explore visual simulation, neural dynamics of object recognition, and optogenetic tools in primates, with keywords spanning Cognitive Neuroscience , Neural Plasticity , and Visual Processing . Labs & Collaborations: Leads the Sheinberg Lab at Brown, affiliated with the Institute for Brain Science and interdisciplinary neuroscience training programs.

Jerome Sanesمشاهده پروفایل

استاد

• Motor Neuroscience
• Brain Mechanisms of Voluntary Movement
• Motor Learning
• +۷ مورد دیگر

Jerome Sanes is a Professor of Neuroscience at Brown University, where he also serves as the Director of MRI Research. His academic career spans several decades, beginning with graduate studies at the University of Rochester and post-doctoral work at the National Institute of Mental Health. From 1997-2000, he directed the Functional Neuroimaging Laboratory at Foundation Santa Lucia in Rome, Italy. He has published over 90 peer-reviewed papers and served on editorial boards of major neuroscience journals including the Journal of Neuroscience and NeuroImage. Dr. Sanes received his PhD in 1979 and MA in 1977 from the University of Rochester, and his BA in 1974 from the State University of New York at Binghamton. His educational background laid the foundation for his research career focused on understanding brain mechanisms underlying movement and cognition. Dr. Sanes' research initially focused on brain mechanisms of voluntary movement and motor learning, with particular interest in how multiple brain regions including the frontal and parietal lobes, basal ganglia, and cerebellum coordinate to produce skilled movements. More recently, his research has expanded to investigate non-image forming visual pathways and their influence on human behavior and cognition. His laboratory employs advanced neuroimaging techniques including functional Magnetic Resonance Imaging and Electroencephalography to study these questions. His recent publications demonstrate a continued focus on motor neuroscience while expanding into new areas including the effects of light on mood and cognition, neural mechanisms in Alzheimer's disease, and social neuroscience examining neural responses to peer interactions. This evolution reflects both the maturation of his research program and the interdisciplinary nature of modern neuroscience. United States Public Health Service Trainee Rush Rhees Fellow, University of Rochester National Research Service Award Honorary Master of Arts, Brown University Dr. Sanes has secured substantial research funding throughout his career, currently serving as PI on an NIH COBRE Center for Central Nervous System Function grant totaling approximately $7.5 million. He also serves as Co-PI on an NIH grant for developing Quantum Magnetic Tunneling Junction Sensor Arrays for Brain MEG, and as Co-I on a US Veterans Administration Center for Neurorestoration and Neurorehabilitation grant. His past funding includes significant awards from the National Science Foundation, Department of Energy, and DARPA, demonstrating the breadth and impact of his research program. As Director of the Brown University MRI Research Facility, Dr. Sanes oversees a major neuroimaging resource that supports numerous research projects across the university. His laboratory has been at the forefront of investigating brain mechanisms of voluntary movement, motor learning, and action intention, contributing significantly to our understanding of how the brain controls skilled behavior.

Michael S. Wordenمشاهده پروفایل

دانشیار

• Cognitive Neuroscience
• Attention
• Visual Perception
• +۳ مورد دیگر

Michael S. Worden is an Associate Professor at Brown University, affiliated with the Carney Institute for Brain Science and the Department of Cognitive and Psychological Sciences. His research focuses on cognitive neuroscience, attention, and visual perception using neuroimaging (fMRI, EEG) and behavioral techniques. Educational background: PhD (1998) from the University of Pittsburgh, MS (1991) from the University of Oregon, BA (1987) from Pomona College. Research interests center on neural mechanisms of selective attention, distractor suppression, and the impact of experience on attentional processes. His work explores spatial attention dynamics, conflict resolution, and brain oscillations in attentional networks. Key collaborative networks include the Cognitive Neuroscience Society and Organization for Human Brain Mapping, with co-authors like Sheila Blumstein and colleagues at Brown University. Scientific awards include the Cognitive Psychology Teaching Award and Service to Brain Science Award. His publications span topics in attentional dynamics, neuroimaging methods, and developmental differences in learning mechanisms.

• Neuroscience
• Neural Networks
• Cognitive Modeling
• +۴ مورد دیگر

Chris de Zeeuw is a Full Professor at Erasmus MC specializing in Neurosciences. His research explores the interplay between cerebellar and prefrontal circuits in motor timing and behavioral adaptation. Key Research Areas: Cerebellum, Purkinje Cell physiology, Eyeblink Conditioning, and Neural Dynamics. Recent Innovations: Pioneering mobile brain imaging techniques using functional ultrasound to study social and cognitive processes. His work addresses fundamental questions in motor learning, neural coding, and cerebellar contributions to attention. Over the past five years, collaborations span molecular neuroscience, neuroimaging, and behavioral systems research. Publications highlight his focus on: Cerebellar Cortex organization Perineuronal Net dynamics AAV-mediated gene expression toxicity Neural mechanisms underlying visual attention His 413 research outputs include 370 peer-reviewed articles, with supervised work encompassing 89 trainees.

Xiaolong Jiangمشاهده پروفایل

دانشیار

• Neuroscience
• Cortical Microcircuits
• Epilepsy
• +۴ مورد دیگر

Xiaolong Jiang is an Associate Professor at Baylor College of Medicine , jointly affiliated with the Department of Neuroscience and Department of Ophthalmology . His research focuses on cortical microcircuit organization in both healthy and pathological states, with particular emphasis on epilepsy and autism spectrum disorders . Expertise: Multi-cell patch recording (up to 12 simultaneous), single-cell RNA sequencing, optogenetics, machine learning Diseases Studied: Rett syndrome, Tuberous Sclerosis Complex (TSC), absence epilepsy, mesial temporal lobe epilepsy (mTLE) Key Techniques: Patch-seq, in vivo whole-cell recordings, two-photon calcium imaging, CRISPR genetic models Research spans cross-species comparisons (mouse, macaque) to uncover evolutionary principles of circuit organization. His work addresses how genetic lesions impact cortical circuit development and how aberrant circuitry (connectopathies) contributes to neuropsychiatric conditions. Current projects include deciphering primate prefrontal cortex microcircuits (NIMH R01 MH120404), TSC cortical tuber circuit mechanisms (DOD W81XWH-19-1-0079), and absence epilepsy circuit deficits (NINDS R01 NS102609-01A1).

• Neuroscience
• Cognitive Neuroscience
• Computational Neuroimaging
• +۳ مورد دیگر

Kalanit Grill-Spector is an Associate Professor at the Department of Psychology, Stanford University. She holds a dual appointment at the Neuroscience Institute and teaches courses in perception, computational neuroimaging, cortical plasticity, and graduate research. Her research focuses on visual cortex organization, developmental myelination, category representations, and computational modeling of neural dynamics. HSFP Long Term Fellowship Sloan Research Fellowship in Neuroscience Klingenstein Fellowship in Neuroscience Her recent work explores spatiotemporal population receptive fields, white matter connectivity, and microstructural growth in visual cortex. Studies highlight developmental shifts in category selectivity, cortical folding, and the interplay between myelination and cognitive specialization. She also investigates emoji vs. text processing in OTS-words regions and methodological advancements in MR fingerprinting for quantitative neuroimaging.

• Clinical Psychology
• Psychotherapy
• Neuroscience
• +۴ مورد دیگر

Gregor Wilbertz is a Researcher in the Department of Clinical Psychology and Psychotherapy at the Faculty of Education and Psychology, Freie Universität Berlin. He is currently engaged in externally funded research with office location at Habelschwerdter Allee 45 (Room JK 26/221b), Berlin, and maintains active contact via email and telephone. His academic qualifications include: Diplom-Psychologe (Master's equivalent in Psychology) Doctor of Philosophy (Ph.D.) in Psychology Wilbertz's research centers on clinical neuroscience , investigating emotional regulation , cognitive control , and social cognition in disorders like depression and ADHD. He employs fMRI and behavioral paradigms to explore neurobiological mechanisms of therapeutic interventions, with notable focus on reward processing in perceptual tasks and neural correlates of impulsivity. His work bridges clinical questions with advanced neuroimaging techniques to optimize treatment outcomes. Analysis of his 13 publications (2008-2020) reveals consistent progression from foundational ADHD neuroimaging studies toward contemporary research on exercise therapy for depression. His work demonstrates strong methodological rigor in linking perceptual processes to clinical applications, particularly through collaborations with Professor Sterzer's team on bistable perception and reward mechanisms. As a researcher on externally funded projects, Wilbertz contributes to initiatives like PANDA and I-REACH, securing resources for neurobiological intervention studies. While not explicitly teaching, his role supports the department's mission through active grant management and scientific investigation. He operates within Freie Universität Berlin's Clinical Psychology and Psychotherapy research team, collaborating on projects examining therapeutic mechanisms and participating in the department's broader work on prevention, health promotion, and social cognition through externally funded grants.

Yashar Ahmadianمشاهده پروفایل

مدرس

• Neuroscience
• Computational Neuroscience
• Neural Networks
• +۷ مورد دیگر

Yashar Ahmadian is a University Lecturer in Computational Neuroscience at the Department of Engineering , University of Cambridge . After earning his PhD in theoretical condensed matter physics, he transitioned to computational neuroscience through postdoctoral work at Columbia University's Center for Theoretical Neuroscience under Liam Paninski and Ken Miller. He later established his research group at the University of Oregon before returning to Cambridge. Current research focuses on neural dynamics and learning in recurrent circuits Specializes in mathematical modeling of cortical networks Applies dynamical systems, statistical physics, and machine learning His work bridges theoretical neuroscience with experimental data, particularly through collaborations with labs studying visual and auditory systems. Recent publications analyze multi-area consensus-building, efficient coding principles, and stabilized supralinear network dynamics. Notable methodological contributions include neural decoding frameworks and tuning curve analysis tools. His lab currently includes Edward Young (investigating adaptation phenomena) and Monika Jozsa (developing AI-inspired models for visual recognition). Key research trends include: Understanding how cortical connectivity shapes perception through attractor dynamics Developing normative theories for neural homeostasis and adaptation Modeling multi-timescale learning in uncertain environments Analyzing heterogeneous tuning curves with implicit generative models Decoding sensorimotor strategies in olfactory navigation