جست‌وجوی استاد و پژوهشگر

Alison L. Barthمشاهده پروفایل

استاد

• Neuroscience
• Neural Circuits
• Synaptic Plasticity
• +۶ مورد دیگر

Alison L. Barth is the Maxwell H. and Gloria C. Connan Professor in the Life Sciences at Carnegie Mellon University's Department of Biological Sciences, Mellon College of Science. She holds a Ph.D. from the University of California, Berkeley, and completed postdoctoral training at Stanford University School of Medicine. Her research focuses on how sensory experience shapes neural circuits in the cerebral cortex, particularly in mice. Key projects include studying synaptic plasticity mechanisms, developing fluorescence-based synapse analysis tools, and exploring neural network design principles for AI applications. Her lab employs advanced techniques like electrophysiology, electron microscopy, and computational modeling. Recent achievements include election as an AAAS Fellow (2024) and contributions to understanding PV interneuron roles, thalamocortical plasticity, and high-throughput connectomics. Ongoing work addresses learning algorithms, disease models (Alzheimer's/Parkinson's), and collaborative engineering initiatives for neural-inspired technologies. Publications span neuroscience, computational biology, and neuroengineering, with a focus on cortical circuits, synaptic mechanisms, and translational applications.

• Neuroscience
• Computational Neuroscience
• Neural Networks
• +۳ مورد دیگر

Robert Lindroos is a Research Fellow at KTH Royal Institute of Technology, specializing in computational neuroscience and brain-inspired computing. He transitioned from a culinary background to academia, earning degrees in civil engineering, engineering physics (KTH), and a PhD in neuroscience (Karolinska Institutet). His research focuses on understanding neural mechanisms underlying cognition, particularly in olfactory processing and Parkinson's disease, conducted within the dBRAIN and Digital Futures initiatives. Key research interests include computational models of basal ganglia circuits, neuromodulation effects (dopamine/choline), and age-related sensory decline. Lindroos has explored odor identification deficits, synaptic plasticity in spiny projection neurons, and the neurocomputational basis of perceptual errors. His work bridges engineering principles with biological systems, aiming to develop brain-like computing paradigms. Publications span computational neuroscience (2011–2025), with recent emphasis on olfactory system modeling and neuromodulatory dynamics. His early work included lunar communication system design, showcasing interdisciplinary technical expertise. Lindroos collaborates with dBRAIN and Digital Futures at KTH, advancing computational approaches to neurological disorders and neural network simulation.

Yoonsuck Choeمشاهده پروفایل

استاد

• Computational Neuroscience
• Neural Networks
• Neuroevolution
• +۹ مورد دیگر

Yoonsuck Choe is a Professor in the Department of Computer Science and Engineering at Texas A&M University and Director of the Brain Networks Laboratory. He has held roles including Corporate Vice President at Samsung Research (2017–2019) and served as a Fellow in the College of Engineering. His expertise spans computational neuroscience, brain imaging, neuroevolution, and deep learning, with a focus on temporal brain dynamics, sensorimotor learning, and AI-driven neuroimaging analysis. Education : Ph.D. (2001), M.A. (1995) from University of Texas at Austin; B.S. (1993) from Yonsei University. His research interests include predictive neural dynamics, consciousness, thalamocortical function, and biologically inspired AI systems. Recent publications emphasize energy-efficient neural networks, tool-use evolution, and connectomics. He has received awards for teaching excellence and research innovation, including the 30th Anniversary Distinguished Alumni Award from Yonsei University (2013). Advising and grants: Prof. Choe has guided over 20 students in their theses and dissertations, focusing on topics like motor learning, neural integration, and medical imaging. His Samsung tenure involved AI core team leadership and high-throughput brain dynamics automation. Grants include work on KESM brain atlas development and neurovascular modeling. Lab and teams: Directs the Brain Networks Lab (Choe Lab) at Texas A&M, exploring brain networks, predictive systems, and AI applications. Collaborates with interdisciplinary teams in neuroscience and biomedical engineering.

Sacha van Albadaمشاهده پروفایل

استاد پژوهشی

• Neural Network Simulations
• Cerebral Cortex
• Predictive Connectomics
• +۳ مورد دیگر

Prof. Sacha van Albada is a Research Professor and Group Leader of Theoretical Neuroanatomy at the Institute for Advanced Simulation (IAS-6, Computational and Systems Neuroscience) at Forschungszentrum Jülich. Her research focuses on constructing and analyzing large-scale spiking neural network models of the cerebral cortex, integrating anatomical and physiological data to understand brain dynamics. Key areas include predictive connectomics, cortical microcircuit organization, and neuromorphic computing applications. Her work emphasizes multi-scale modeling across cell-type interactions, network architectures, and system-level brain functions. She develops computational tools like the NEST simulator for distributed neural network simulations. Recent projects involve modeling neuron-astrocyte interactions and exploring how cortical hierarchies and top-down signals modulate neural activity patterns. She also engages in ethical considerations of brain-inspired AI systems. Dr. van Albada collaborates extensively with experimental neuroscientists and HPC experts, contributing to initiatives like the Human Brain Project. Her models have been applied to study visual and somatosensory cortices, motor cortex dynamics, and resting-state network behavior. Despite no explicit mention of awards/grants, her high publication output and leadership role indicate significant academic impact.

• 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.

• Microelectronics
• Integrated Circuit Design
• VLSI
• +۲ مورد دیگر

Michele Chiabrera serves as a Contract Professor in the Department of Naval, Electrical, Electronic, and Telecommunications Engineering (DITEN) at the University of Genoa, teaching within the Master's Degree Program in Electronic Engineering. His research specialization centers on Microelectronics and Integrated Circuit Design, with specific expertise in VLSI and Electronic Design Automation, directly reflected in his instructional responsibilities. For the 2024-2025 academic year, he teaches MICROCIRCUITS DESIGN (code 84506), and for 2025-2026, he will instruct DIGITAL INTEGRATED CIRCUITS DESIGN AND VERIFICATION (code 114767). No scientific awards or student supervision activities are documented in the available materials. His professional focus appears concentrated on advanced circuit design pedagogy within electronic engineering education.

• Integrated Circuit Design
• Microelectronics
• Digital Electronics
• +۲ مورد دیگر

Daniel Grosso serves as a Contract Professor in the Department of Naval, Electrical, Electronic, and Telecommunications Engineering (DITEN) at the University of Genoa, where he teaches advanced courses in Electronic Engineering. His academic role focuses on specialized instruction for Master's degree students. His research expertise centers on integrated circuit design methodologies, with emphasis on digital verification techniques and microcircuit development. This specialization aligns with modern semiconductor industry requirements and contributes to electronic engineering education through practical curriculum design. Professor Grosso's teaching portfolio demonstrates consistent engagement in core electronic engineering disciplines, particularly in circuit design verification and microelectronics implementation. His work bridges theoretical concepts with industry-relevant applications in integrated circuit development.

Andrea Barreiroمشاهده پروفایل

دانشیار

• Computational Neuroscience
• Neural Networks
• Dynamical Systems
• +۴ مورد دیگر

Andrea Barreiro is an Associate Professor and Graduate Advisor in the Department of Mathematics at Southern Methodist University. She holds a Ph.D. from New York University (2006) and leads research in mathematical neuroscience and complex systems. Her work focuses on neural network dynamics, sensory processing, and computational modeling, with collaborations spanning institutions including the University of Washington. Research Focus: Dr. Barreiro investigates how neural network architecture generates correlated activity in brain microcircuits, using dynamical systems, information theory, and numerical methods. Her research aims to reveal fundamental brain architectures relevant to conditions like Parkinson's disease. Secondary interests include fluid dynamics, redistricting analysis, and neural integrators for memory functions. Publication Trends: Recent work (2021-2025) emphasizes olfactory coding mechanisms, cortical criticality, and low-dimensional neural representations. Earlier publications established foundations in correlation transfer within neural networks, neural integrator robustness, and vortex dynamics. Methodological contributions include novel approaches for analyzing coupled neuronal networks and efficient statistical calculations. Academic Leadership: She co-directs the SMU-RTG REU program, mentoring undergraduates in mathematical neuroscience projects using experimental data from UT Southwestern. Her laboratory develops analytical frameworks for neural circuit analysis and collaborates extensively with experimental neuroscientists.

Thomas A. Clelandمشاهده پروفایل

استاد

• Neuroscience
• Cognitive Neuroscience
• Olfactory Systems
• +۳ مورد دیگر

Thomas A. Cleland is a Professor of Psychology at Cornell University, affiliated with the College of Arts and Sciences. His research focuses on how cognitive and perceptual processes emerge from neural circuit properties, particularly in olfactory systems. He explores learning, memory, and sensory processing using techniques like electrophysiology, computational modeling, and neuromorphic algorithms. Cleland's work bridges neuroscience and artificial intelligence, aiming to develop biologically inspired solutions for AI systems. He teaches courses such as PSYCH 4600 (Neural Representations) and leads the Computational Physiology Laboratory. His research integrates interdisciplinary methods, including brain imaging (e.g., light-sheet imaging), behavior genetics, and theoretical studies. Cleland’s lab collaborates on projects like odor recognition, neuromorphic circuits, and neural oscillations, with publications spanning journals like Neuroscience and Artificial Intelligence . His contributions include developing tools such as the Annolid segmentation framework and advancing understanding of olfactory bulb dynamics. Cleland’s work has implications for AI, sensory neuroscience, and neurotechnology, reflecting his commitment to linking biological insights with computational innovation.

• Biomedical Science
• Neurophysiology
• Neuroscience
• +۶ مورد دیگر

Professor Brett Graham is a leading researcher at the University of Newcastle's School of Biomedical Sciences and Pharmacy , specializing in spinal cord sensory coding and pain signaling mechanisms . His work focuses on mapping neural circuits involved in pain transmission and modulation. PhD in Biomedical Science (University of Newcastle) Bachelor of Biomedical Sciences (University of Newcastle) Research interests include: Spinal Cord Pain Circuits - Investigating how nerve cells process and transmit pain signals Neuroinflammation - Studying age-related changes in spinal cord gene expression Optogenetics - Using light-activated proteins to map neural pathways Synaptic Plasticity - Exploring changes in neural connections during chronic pain His 15 most recent articles (2015-2025) reveal a consistent focus on: Spinal cord microcircuitry (40% of articles) Neuropathic pain mechanisms (35% of articles) Optogenetic and transgenic techniques (25% of articles) Synaptic transmission dynamics (20% of articles) Pain modulation strategies (15% of articles) Scientific contributions include: Co-developing transgenic mouse models for pain research Pioneering work on glycinergic inhibition in spinal cord neurons Advancing understanding of visceral pain processing As a research supervisor , he has mentored students working on: Spinal cord circuit mapping Chronic pain treatment development Pain signal modulation techniques Age-related changes in pain processing

Wolfgang Maassمشاهده پروفایل

استاد

• Neural Networks
• Machine Learning
• Computational Neuroscience
• +۳ مورد دیگر

Wolfgang Maass is a Professor at the Institute of Machine Learning and Neural Computation at Technische Universität Graz . His research focuses on computational neuroscience, neuromorphic engineering, and machine learning, with an emphasis on understanding how biological neural networks process information and inspire artificial systems. He has contributed extensively to the development of spiking neural networks, synaptic plasticity models, and neuromorphic hardware. Education: Dipl.-Ing. (Diploma in Engineering), Dr.rer.nat. (PhD in Natural Sciences) Affiliations: Institute of Machine Learning and Neural Computation, TU Graz Key research interests include: Neural network models for cognitive functions Biologically plausible learning algorithms Neuromorphic computing and hardware implementations Computational principles of cortical microcircuits Recent work highlights the integration of biological principles into artificial intelligence, including studies on synaptic plasticity (BTSP), spiking neural networks for image recognition, and energy-efficient neuromorphic systems. His research bridges theoretical neuroscience and applied machine learning, with a focus on systems that emulate brain-like functionality. He has presented at major conferences such as the International Convention on the Mathematics of Neuroscience and AI and has authored over 200 publications. His work has been recognized for its interdisciplinary impact, advancing both neuroscience and AI fields.

Markus Diesmannمشاهده پروفایل

استاد

• Computational Neuroscience
• Neuronal Network Modeling
• Supercomputing
• +۳ مورد دیگر

Prof. Markus Diesmann is a Director of the Institute for Advanced Simulation (IAS-6) and the Institute for Neuroscience and Medicine (INM-10) at Forschungszentrum Jülich. He leads the Computational Neurophysics group, focusing on understanding neuronal network dynamics through computational models and supercomputing. His work integrates theoretical neuroscience with high-performance computing to simulate brain-scale networks and explore neuromorphic computing foundations. Research interests include correlation structures in neuronal networks, simulation technologies, brain-scale modeling, and software engineering for neuroscience. He has pioneered efforts in scaling neuronal network simulations to exascale systems and improving computational efficiency. Key contributions include the NEST simulation software and studies on synaptic plasticity, sequence learning, and LFP dynamics. Publications emphasize advancements in simulation algorithms, network connectivity analysis, and bridging experimental data with computational models. His work addresses challenges in real-time cortical microcircuit simulation, neuromorphic hardware integration, and the role of noise in neural computation. Prof. Diesmann collaborates internationally on neuroscience initiatives and high-performance computing applications. He advocates for robust scientific software practices and contributes to infrastructure for open science in computational neuroscience.

Aref Zarinمشاهده پروفایل

استادیار

• Neuroscience
• Developmental Biology
• Genetics
• +۴ مورد دیگر

Aref Zarin is an Assistant Professor at Texas A&M University, specializing in neuroscience and developmental biology. He joined the Department in 2020 following postdoctoral research at the Howard Hughes Medical Institute, focusing on Drosophila larval neural circuits. His work integrates genetic, optogenetic, and electrophysiological tools to study how neural circuits generate diverse motor behaviors and maintain their structure. Education: Ph.D. in Neuroscience/Genetics from Trinity College Dublin (2013). Postdoctoral training at HHMI, investigating multifunctional circuits in Drosophila larvae. Research focuses on: (1) Neural circuit architecture and function in Drosophila , (2) Developmental mechanisms linking neurogenesis to circuit formation, (3) Optogenetic interrogation of behavior-specific motor patterns. Key innovations include mapping larval motor connectomes and dissecting transcriptional codes regulating axon guidance. Publications highlight advancements in understanding larval locomotion circuits, including premotor microcircuit design, neuromuscular coordination, and circuit plasticity. Recent work explores how cholinergic signaling and nAChR subunits drive escape behaviors, with implications for understanding general principles of neural circuit operation. Laboratory activities include maintaining a lab website with research protocols and hosting collaborations on Drosophila neurobiology. Current projects investigate circuit robustness to embryonic perturbations and transcription factor roles in connectivity.

Israel Nelkenمشاهده پروفایل

استاد

• Auditory Neuroscience
• Neurophysiology
• Sensory Processing
• +۳ مورد دیگر

Prof. Israel Nelken is a Full Professor at the Hebrew University of Jerusalem, affiliated with the Edmond and Lily Safra Center for Brain Sciences. His research focuses on auditory neurophysiology, specifically the neural mechanisms underlying sound processing, perception-action loops, and statistical learning in audition. He has contributed significantly to understanding how the brain detects deviant sounds and encodes complex auditory information across multiple temporal and spectral scales. Affiliations: Hebrew University of Jerusalem, Edmond and Lily Safra Center for Brain Sciences Roles: Full Professor, Principal Investigator of the Israel Nelken Lab Research Interests Prof. Nelken’s work explores the transformation of sensory signals into meaningful representations in the auditory system. Key areas include: Neuronal responses to complex sounds and their behavioral relevance Stimulus-specific adaptation (SSA) and prediction error detection Integration of auditory information across cortical and subcortical regions Role of auditory cortex in rhythmic motor synchronization and statistical learning Key Contributions His studies on deviance detection in auditory cortex have advanced our understanding of mismatch negativity (MMN) and predictive coding. Recent work highlights rats’ ability to synchronize movements with auditory rhythms, challenging assumptions about species-specific musicality. He has also developed innovative tools like the Rat Interactive Foraging Facility (RIFF) to study neural-behavioral interactions in real-time. Awards & Honors Rector’s Prize for Excellence in Research and Teaching (2015) Landau Prize for Sciences and Research (2015) Michael Bruno Memorial Award (2008) ERC Advanced Grant (2013) Grants & Collaborations Recipient of prestigious grants including the ERC Advanced Grant for studying auditory processing in natural environments. Active collaborations include work on cortical dynamics in Alzheimer’s models and computational frameworks for attentional blink phenomena. Labs & Teams Leads the Israel Nelken Lab, which integrates electrophysiology, computational modeling, and behavioral experiments to dissect auditory processing. The lab collaborates widely, contributing to projects like the dense cortical microcircuit simulations for understanding surprise responses.