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Alexander PetrovView profile

Associate Professor

• Relational Reasoning
• Visual Cognition
• Philosophy of Perception
• +5 more

Dr. Alexander Petrov is an Associate Professor in the Department of Psychology at Ohio State University with a courtesy affiliation in the Department of Philosophy (since 2019). He directs the Visual Cognition Lab and holds a PhD in Cognitive Science from New Bulgarian University (1998) and a BS/MS in Computer Science from Sofia University (1995). His post-doctoral training included work with John R. Anderson at Carnegie Mellon University and Barbara A. Dosher at UC Irvine. Research Focus: Petrov's interdisciplinary work bridges cognitive psychology, vision science, and philosophy. His lab investigates: (1) High-level relational reasoning and analogy-making mechanisms, (2) Visual extraction of spatial relationships in dynamic scenes, (3) Neural implementations of cognitive processes, and (4) Philosophical foundations of perception. Methodologies combine behavioral experiments, computational modeling (ACT-R, Leabra), eye-tracking, and pupillometry. Publication Trends: His 15 most recent articles demonstrate consistent focus on visual perception dynamics (shape processing, stereoscopy), perceptual learning mechanisms, and cognitive modeling. Recent work increasingly incorporates neurophysiological validation and methodological innovations in measurement techniques. Awards and Honors: Fred Brown Research Award (2023, 2017) Clifford T. Morgan Best Article Award (2022, 2016) Extraordinary Ability status, U.S. Immigration (2002) Grigor Parlichev Award for Outstanding Achievements (1997) Academic Leadership: Actively advises PhD students (recent graduates: Yuhui Du, 2023; Ying Yu, 2020). Leads the Visual Cognition Lab, recruiting students from psychology, computer science, and philosophy. Organized the interdisciplinary workshop Philosophy and Psychology of Visual Space (2019).

• Neuroscience
• Biophysics
• Computational Biology
• +4 more

Roles & Affiliations: Damon Clark is a Professor of Molecular, Cellular and Developmental Biology, Physics, and Neuroscience at Yale University. He holds appointments in the Yale School of Medicine, Wu Tsai Institute, and Quantitative Biology Institute. His research focuses on neural computations underlying visual perception in Drosophila. Education: PhD in Physics, Harvard University (2007) AB in Physics, Princeton University (2001) Research Interests: Dr. Clark studies how neural circuits process sensory information to guide behavior. His lab combines genetics, electrophysiology, and computational modeling to dissect visual motion detection mechanisms in fruit flies. Key themes include algorithmic principles of neural computation, cross-species comparisons, and the interplay between sensory inputs and motor outputs. Publications Trends: Recent work highlights visual motion detection algorithms, neural circuit dynamics in collision avoidance, and odor-guided navigation. His studies bridge computational theory with experimental validation, emphasizing evolutionary conservation of neural mechanisms across species. Labs & Teams: Clark Lab at Yale explores quantitative biology of neural systems. Collaborations span neuroscience, physics, and engineering, with a focus on interdisciplinary approaches to sensory processing.

• Neural Circuit Development
• Neuroscience
• Visual System Development
• +6 more

Michael Crair is the Vice Provost for Research at Yale University and holds the title of William Ziegler III Professor of Neuroscience and Professor of Ophthalmology & Visual Science at Yale School of Medicine. He leads research in neural circuit development, particularly focusing on how spontaneous activity shapes brain circuit formation. His work integrates advanced imaging techniques like mesoscopic calcium imaging and fMRI to study cortical networks. Crair has pioneered studies on retinal waves and their role in visual system development. Education: PhD in Physics from UC Berkeley (1991), postdoctoral training at Kyoto University, UCSF, and Baylor College of Medicine before joining Yale in 2007. He has served as Deputy Dean for Scientific Affairs and Director of Yale’s Vision Core Program. Research interests span neurodevelopment, synaptic plasticity, and neuroimaging. Key contributions include demonstrating the necessity of early neuronal activity in normal brain development and developing novel imaging tools for studying large-scale neural dynamics. Awards include the Klingenstein Fellowship, Sloan Research Fellowship, and NIH grants. His lab collaborates widely, with projects on Alzheimer’s disease models and PTEN mutation impacts. He advises on interdisciplinary research initiatives and chairs committees promoting scientific innovation. Labs/Teams: Crair Lab focuses on circuit development and neuroimaging. Collaborations include the Kavli Institute for Neuroscience and Wu Tsai Institute.

• Neuroscience
• Cognitive Neuroscience
• Neuroimaging
• +3 more

Matthew Ainsworth is a Postdoctoral Research Associate at the University of Oxford, affiliated with The Queen's College. He is part of the Brain & Behaviour Research Group, where his work focuses on understanding the cortical networks underlying perception, memory, and decision making. His research combines behavioral paradigms with advanced neuroimaging (fMRI) and electrophysiology techniques to study neural communication between brain regions such as the temporal and prefrontal cortices. His investigations often involve non-human primate models to explore functional connectivity and neural plasticity following cortical lesions. Key areas of interest include gamma-frequency oscillations, synaptic plasticity, and the role of frontopolar cortex in goal-directed cognition and counterfactual processing. Ainsworth’s work bridges cognitive neuroscience, neuroimaging, and neurophysiology, with applications ranging from basic science to translational research in neural rehabilitation. Recent studies highlight his exploration of how ambiguous social interactions modulate the social brain network’s functional connectivity and how low-beta transcranial magnetic stimulation impacts memory processes. His methodologies include innovative tools like the Virtual Electrode Recording Tool (VERTEX) for analyzing extracellular potentials in simulated and biological neural tissues.

Ian DavisonView profile

Associate Professor

• Neuroscience
• Olfactory Systems
• Neural Circuits
• +4 more

Ian Davison is an Associate Professor of Biology Education at Boston University. His research focuses on neural circuits underlying perception and behavior in olfaction, with a particular emphasis on the vomeronasal system and cortical networks. He also investigates the pathophysiology of traumatic brain injury (TBI) using high-resolution imaging in rodent models. Davison holds a PhD from Simon Fraser University and teaches courses such as BI520/NE520 Sensory Neurobiology and BI741/NE741 Neural Systems I: Functional Circuit Analysis. His research interests span three core areas: (1) the neural mechanisms linking chemical cues to innate and learned social behaviors, including aggression and courtship; (2) developing novel imaging tools for studying neural activity in freely moving animals; and (3) understanding TBI-induced changes in cortical activity and cerebral blood flow. His lab employs genetic tools, electrophysiology, and advanced microscopy techniques to study these topics. Davison has contributed to over 40 peer-reviewed articles, with recent work emphasizing computational imaging advancements like EDoF-Miniscope and self-supervised denoising algorithms for voltage imaging. His educational efforts include integrating cutting-edge neurobiology concepts into graduate-level curricula while fostering interdisciplinary approaches to neuroscience education. Lab activities involve collaborations with engineering teams to develop next-generation neural imaging devices, alongside behavioral studies of social learning in mice. Future directions aim to bridge clinical TBI research with neurotechnological innovations for diagnostic and therapeutic applications.

Maxim VolgushevView profile

Professor

• Neurophysiology
• Visual System
• Action Potentials
• +5 more

Maxim Volgushev is a Professor at the University of Connecticut's Department of Psychological Sciences, where he leads a research lab focused on neurophysiology and cortical computation. His work investigates signal processing in visual cortical neurons, synaptic transmission dynamics, and plasticity mechanisms in the neocortex. His primary research explores neurophysiology of the visual system, action potential generation, cortical oscillations, and synaptic plasticity. Key investigations include heterosynaptic plasticity balancing, optogenetic modulation of neural responses, and the effects of neuroactive substances like ethanol on cortical circuits. Research integrates experimental and computational approaches across rodent and feline models. Recent publications (2017-2024) show strong emphasis on synaptic plasticity mechanisms, cortical response properties, and neuromodulation. Major themes include optogenetic manipulation of plasticity, ethanol's differential effects on excitatory/inhibitory transmission, gamma oscillation modulation for signal encoding, and computational modeling of neural dynamics. The work consistently bridges cellular neurophysiology with systems-level sensory processing. Volgushev mentors graduate students including PhD candidate Noah Raffone and Master's student Maxx Freed. His lab has received funding from NIH, German Research Foundation, UConn Research Foundation, and international collaborations. Active grants focus on neurophysiological mechanisms of cortical processing. He directs the Volgushev Lab at UConn, currently staffed by Research Associate Dr. Marina Chistyakova and students. Collaborations span institutions in Germany (Max Planck Institute), Canada (Laval University), Russia (RAS Moscow), and Hungary (University of Debrecen). The lab maintains active partnerships with neuroscientists studying cortical synchronization, computational modeling, and in vivo neural recordings.

Thomas PreussView profile

Professor

• Neurobiology
• Behavioral Neuroscience
• Sensory Processing
• +3 more

Thomas Preuss is a Professor in the Department of Psychology at Hunter College, CUNY, specializing in Neurobiology and Behavioral Neuroscience. His research focuses on neural mechanisms underlying decision-making and plasticity in sensorimotor systems, particularly using the Mauthner cell system of teleost fish. He investigates how social status, sensory input, and environmental factors influence neural processing and behavior, with a focus on prepulse inhibition, escape responses, and dendritic integration. His lab employs techniques such as in vivo electrophysiology, neuropharmacology, and high-speed video analysis. Preuss earned his PhD in Biological Cybernetics from the University of Tübingen, Germany. His work bridges cellular neurobiology with behavioral ecology, emphasizing adaptive mechanisms in vertebrate nervous systems. Recent projects explore cortisol-induced changes in neuronal excitability and socially mediated plasticity in African cichlids. Key research themes include the role of electrical inhibition in sensorimotor integration, temperature effects on neural circuits, and the molecular underpinnings of escape behavior. His findings contribute to understanding how neurons encode sensory information and translate it into adaptive motor outputs across species.

Kosio BeshkovView profile

Research Fellow

• Topological Data Analysis
• Deep Neural Networks Theory
• Neural Manifold Analysis
• +3 more

Kosio Beshkov is a Postdoctoral Fellow in Condensed Matter Physics at the University of Oslo, specializing in the intersection of topological data analysis and machine learning. His research focuses on theoretical frameworks for understanding neural network representations and biological neural systems. His primary research interests include: Theory of deep neural networks in overparametrized regimes Topological data analysis of neural manifolds De novo protein design using evolutionary algorithms and geometric modeling Connections between network representations and topological spaces Recent publications demonstrate strong trends in computational neuroscience, with 7 papers from 2021-2025 spanning journals like PLoS Computational Biology and iScience. His work consistently applies polyhedral geometry, quotient spaces, and homology to neural representation problems, while expanding into protein language models and gene therapy applications. Current technical approaches combine: Topological data analysis for high-dimensional neural data Geometric deep learning for robust representations Biophysically-detailed neuron modeling Protein structure-geometry relationships

Werner HemmertView profile

Professor

• Auditory Neuroscience
• Neuroprosthetics
• Biomedical Engineering
• +3 more

Prof. Werner Hemmert is a Professor at the Technical University of Munich (TUM), affiliated with the TUM School of Computation, Information and Technology. His research focuses on bioanalog information processing, particularly investigating auditory system mechanisms and developing neuroprosthetic technologies. He combines theoretical models with experimental work, collaborating with biology, medicine, and industry partners. Education: Studied Electrical Engineering and Information Technology at TUM; PhD (Dr.-Ing.) from Ruhr University Bochum (1997). Key Career Stints: Research stays at MIT (1998-2000), IBM Zurich (2000-2001), and Infineon Technologies (2001-2007). Professional Memberships: German Acoustic Society, Association for Research in Otolaryngology, IEEE Senior Member. Research Interests: Neuroprosthetics, Auditory Neuroscience, Biomedical Engineering . He explores cochlear mechanics, neural coding of auditory cues, and improving cochlear implant performance. His work bridges engineering and medicine, addressing challenges in hearing restoration and bimodal hearing systems. Key Publications Highlight: Over 50 peer-reviewed articles, including foundational work on cochlear mechanics ( Biophysical Journal , 2000), neural models for interaural time differences ( Frontiers in Neuroscience , 2018), and bimodal hearing optimization ( IEEE Transactions , 2023). Awards: Feodor Lynen Research Fellowship (Alexander von Humboldt Foundation), Helmholtz Prize (1996). His research emphasizes translational science, with direct applications in clinical hearing solutions and neurotechnology innovation.

Daniel WagenaarView profile

Research Professor

• Neuroscience
• Neuroengineering
• Sensory Processing
• +3 more

Daniel Wagenaar is a Research Professor in the Division of Biology and Biological Engineering at the California Institute of Technology (Caltech), co-directing the Chen Center for Data Science and Artificial Intelligence (DataSAI). He leads the Wagenaar Lab and Neurotechnology Laboratory, focusing on neuronal basis of sensory processing, cross-modal integration in leeches, and neurotechnology. His work bridges experimental neuroscience, computational methods, and engineering, with contributions to voltage-sensitive dye imaging, multi-electrode array (MEA) techniques, and open-source software tools like VScope and MEABench. Education: M.S. degrees from University of Amsterdam (1997) and King's College London (1998), Ph.D. in Biology from Caltech (2006). Research emphasizes functional neural circuits, sensory-guided behavior, and neurotechnological innovations. His lab develops novel tools for neural activity recording and analysis, including double-sided microscopy and optogenetic technologies. Funding sources include NIH, Burroughs Wellcome Fund, and Caltech. Key contributions include elucidating leech neural circuits, hormone-activated courtship behaviors, and high-density neural recording in primates. Awards and recognition include sustained research excellence in systems neuroscience. Advising includes mentorship in neurobiology, engineering, and computational neuroscience. Ongoing work explores brain-wide neural dynamics and translational neurotechnologies.

• Computational Neuroscience
• Auditory Processing
• Neural Modeling
• +3 more

Nicol Harper is a University Research Scientist at the University of Oxford, affiliated with the King Group. Their work focuses on computational neuroscience, auditory processing, and neural modeling, particularly investigating how sensory systems like the auditory and visual cortices process natural stimuli and adapt to environmental changes. Research interests include Temporal prediction in sensory systems Auditory cortex response to sound textures Neural dynamics of adaptive spiking models Recent publications highlight interdisciplinary approaches combining computational modeling, neural signal processing, and analysis of natural sound and visual stimuli. Key themes include predictive coding, receptive field modeling, and the speed-accuracy trade-off in neural simulations. Harper's lab collaborations, particularly within the King Group, emphasize advancing neurocomputational frameworks and understanding cortical processing mechanisms.

• Ophthalmology
• Neurosciences
• Biomedical Data Science
• +4 more

Francisco González García is a Professor in the Department of Surgery and Medical-Surgical Specialties at the University of Santiago de Compostela's Faculty of Medicine and Dentistry. He holds affiliations with the Center for Research in Molecular Medicine and Chronic Diseases (CIMUS) and the Vision Research Group in Ophthalmology and Visual Sciences. His academic career includes doctoral degrees from both the University of Santiago de Compostela (1982) and the University of La Laguna (2001), focusing on visuomotor neuroscience and otolaryngology. Research interests span ophthalmology, neurosciences, and biomedical data science with recent emphasis on retinal physiology, intraocular devices, and stem cell therapies. His work bridges clinical practice and engineering through innovations in tonometry techniques and smart lens development. Notable contributions include studies on prostaglandin-associated periorbitopathy and neuroprotective roles of erythropoietin in retinopathy. Publications (2021–2025) reflect multidisciplinary activity, combining clinical case reports with methodological advancements in neuronal activity modeling and orbital imaging. Collaborative projects like the Green Link initiative demonstrate environmental engineering applications of medical expertise in desertification reversal using fog capture technologies. He has advised numerous studies on ocular pharmacokinetics and thyroid eye disease management, though specific student names aren't listed. His lab work integrates computational tools like P-spline algorithms with traditional microscopy techniques.

Vera Moiseenkova-BellView profile

Professor

• Structural Biology
• Ion Channels
• TRP Channels
• +7 more

Vera Moiseenkova-Bell is a Professor in the Department of Systems Pharmacology and Translational Therapeutics at the University of Pennsylvania, Perelman School of Medicine , where she also serves as the Director of the Institute of Structural Biology. Her research focuses on the structure and function of ion channels, particularly TRP channels, using cutting-edge cryo-electron microscopy (cryo-EM) and cryo-electron tomography (cryo-ET). Education: MS in Laser Biophysics, M.V. Lomonosov Moscow State University (1999); PhD in Cellular Physiology & Molecular Biophysics, University of Texas Medical Branch (2004). Postdoctoral training at Baylor College of Medicine and Yale University. Established independent lab at Case Western Reserve University (2009–2018), then moved to the University of Pennsylvania (2018–present). Her research centers on understanding TRP channels—key players in pain, neuronal development, cardiovascular and renal physiology, and cancer. Using cryo-EM and single-particle analysis , her lab determines high-resolution structures of membrane proteins to elucidate activation, inhibition, and desensitization mechanisms. She also employs cryo-ET to visualize these proteins in their native cellular environments, bridging molecular and cellular biology. Recent publications highlight structural insights into TRPV2 , TRPV5 , and associated complexes, including modulation by ligands, pore block mechanisms, and interactions with calcium and lipids. Her work also extends to antigen presentation (MHC-I/TAPBPR) and lysosomal membrane proteins, demonstrating broad relevance across immunology and cell biology. Her scientific awards, though not listed in the text, are implied by her leadership roles and sustained funding. She has mentored numerous graduate students and postdocs, many of whom now hold academic and industry positions. She leads a vibrant research team and directs major cryo-EM facilities at Penn, underscoring her national impact in structural biology. She actively collaborates with experts in computational biophysics and electrophysiology, and her lab integrates quantitative mass spectrometry , patch-clamp , and calcium imaging to validate structural findings. Her ongoing work continues to push the boundaries of understanding membrane protein function in health and disease.

Alain DestexheView profile

Research Professor

• Computational Neuroscience
• Dynamical Systems
• Electrophysiology
• +5 more

Dr. Alain Destexhe serves as Research Director (DRCE) and Deputy Director of the NeuroPSI Institute (UMR9197) at CNRS, University of Paris-Saclay, and CEA Saclay Campus in France. As Editor-in-Chief of the Journal of Computational Neuroscience , he leads one of the premier publications in his field. His research program spans multiple international collaborations, with funding from major agencies including the ANR, EC, MRC, NIH, and HFSP. Destexhe's research lies at the interface between physics (dynamical systems) and neuroscience (electrophysiology), focusing on the stochastic activity of the cerebral cortex and its consequences on integrative properties and neuronal coding. His work explores collective dynamics of neuronal networks including oscillations and chaotic states, along with the development of computational methods for electrophysiology such as conductance extraction and analysis of multiple electrode recordings. His laboratory maintains an extensive website ( neurocompute.cnrs.fr ) featuring publications, simulations, and 3D morphological reconstructions. The recent publications reveal a strong emphasis on multiscale approaches connecting molecular mechanisms to large-scale brain activity, with particular focus on thalamocortical systems, slow-wave sleep dynamics, consciousness signatures, and the development of advanced neural network models. His work spans from single neuron dynamics to whole-brain modeling, demonstrating a consistent commitment to bridging different levels of neural organization. Destexhe actively participates in the organization of international conferences and summer schools, contributing to the training of the next generation of computational neuroscientists. His laboratory website provides extensive educational resources including simulation demos, computer-generated animations, and NEURON programs that reproduce figures from published articles.

Adrien F. VincentView profile

Associate Professor

• Neuromorphic Computing
• Spiking Neural Networks
• Memristive Devices
• +2 more

Adrien F. Vincent is an Associate Professor at IMS Bordeaux (Laboratory of Integration, Material to System) under Université de Bordeaux, Institut Polytechnique de Bordeaux, and CNRS. He leads research in neuromorphic computing with a focus on spiking neural networks and memristive devices. His team, 2HC Production Engineering, develops energy-efficient hardware for real-time event-based data processing. Key research areas: Neuromorphic systems, Low-power electronics, Memristor technology Recent publications explore spintronic neural networks, STDP plasticity, and energy optimization His work addresses hardware-friendly learning algorithms and co-integration of analog silicon neurons with memristive arrays. Projects include ULPEC (Ultra-Low Power Event-Based Camera) and MIRA2015 (Memristive Architectures).