جست‌وجوی استاد و پژوهشگر

Jeffrey Schallمشاهده پروفایل

استاد

• Visual Neurophysiology
• Neuroscience
• Cognitive Neuroscience
• +۵ مورد دیگر

Jeffrey Schall is a Full Professor of Biology and Program Director of the Visual Neurophysiology Centre at York University. He holds the Canada Research Chair in Translating Neuroscience. His research focuses on neural mechanisms underlying behavior, integrating neurophysiological and computational approaches across multiple scales. Schall is a core member of the Centre for Vision Research and the Canada First Research Excellence Fund Connected Minds initiative. Education: PhD in Anatomy (University of Utah School of Medicine, 1986), postdoctoral training at MIT. Awards include the Troland Research Award, Sloan Foundation Fellowship, and AAAS Fellowship. He served as Vision Science Society President in 2019. Research interests include visual attention, executive control, error monitoring, and translational neuroscience applications in law. His work bridges basic science with applied studies in clinical populations like schizophrenia patients. Collaborative projects involve EEG/MEG analysis, cortical microcircuitry modeling, and neuromodulation techniques. Teaching: YU_NRSC 2100 Systems, Behavioral, and Cognitive Neuroscience. Active in interdisciplinary initiatives linking neuroscience with legal systems through scholarship and policy engagement.

Kevin M. Franksمشاهده پروفایل

دانشیار

• Neurobiology
• Olfactory System
• Neural Circuits
• +۳ مورد دیگر

Kevin M. Franks is an Associate Professor of Neurobiology at Duke University, where he investigates how the olfactory system forms neural representations of sensory environments. His work focuses on functional neural circuits in the olfactory bulb and piriform cortex, using techniques like in vivo recordings, optogenetics, and behavioral assays. His research explores Neural circuit dynamics and plasticity Odor coding mechanisms Role of recurrent circuitry Integration of sensory modalities Recent publications highlight his contributions to understanding cortical odor representations, developmental neural connectivity, and cross-modal interactions. Awards include the 2024 Don Tucker Finalist recognition. He teaches advanced neuroscience courses at Duke, including Neurobiology research and concepts in neuronal systems.

• Self-organized criticality
• Neuronal network dynamics
• Excitation/Inhibition balance
• +۵ مورد دیگر

Anna Levina is an Assistant Professor for Computational Neuroscience at the University of Tübingen , affiliated with the Department of Computer Science under the Faculty of Science. Her research focuses on the self-organization of neuronal activity, critical dynamics in neural networks, and the excitation/inhibition balance in cortical circuits. Current positions: Assistant Professor (since 2018), Group Leader (2017-2018), Equality Officer (Computer Science) Previous roles: IST Fellow (2015-2017), Associated Researcher (2011-2015), Postdoc/PI (2011-2015), Postdoc (2008-2011) Her research integrates mathematical modeling , statistical physics , and computational neuroscience to study criticality phenomena, neural avalanches, and adaptive network dynamics. Key interests include: Self-organized criticality in neural systems Excitation/Inhibition balance mechanisms Network topology and dynamics Timescale analysis in neural processing Stochastic modeling of neural activity Recent publications reveal trends in understanding critical dynamics across biological and artificial networks, with applications to memory systems, sensorimotor integration, and disease modeling. She has received recognition as an IST Fellow .

Istvan Modyمشاهده پروفایل

استاد

• Neuroscience
• Neurology
• Pharmacology
• +۱۲ مورد دیگر

Istvan Mody is a Professor at the University of California, Los Angeles (UCLA) with appointments in the Department of Neurology and Department of Physiology . His research focuses on synaptic signaling in health and disease, including mechanisms of GABAergic transmission, calcium homeostasis, and their roles in neurological disorders such as epilepsy, Alzheimer's disease, Huntington's disease, stress, alcoholism, and postpartum depression. He utilizes advanced techniques like patch-clamp electrophysiology, neuroanatomical and immunohistochemical methods, and molecular biology in animal models and human brain tissue . Research Interests: Dr. Mody investigates the physiology, pharmacology, and pathology of synaptic transmission and extrasynaptic receptor activation , with a particular emphasis on GABA(A) receptors and their subunit-specific modulation. His work explores how disruptions in excitation-inhibition balance contribute to neurological diseases, including mechanisms of tonic inhibition , calcium signaling , and neurosteroid interactions . He also studies the effects of chronic stress and hormonal fluctuations on neural excitability and behavior. Publications Trends: Recent studies highlight his work on gamma oscillations in Alzheimer's models, microglial dynamics , and rehabilitation strategies for stroke. His lab develops optical tools like dqGEVI for neuronal activity monitoring and investigates human brain organoids to model network dysfunction in epilepsy and intellectual disability. Laboratory Location: 635 Charles Young Dr S, Los Angeles, CA 90095, United States.

• Computational Neuroscience
• Bayesian Statistics
• Neural Data Analysis
• +۳ مورد دیگر

Robert E. (Rob) Kass is the Maurice Falk University Professor of Statistics and Computational Neuroscience at Carnegie Mellon University, holding joint appointments in the Department of Statistics & Data Science, Machine Learning Department, and Neuroscience Institute. His research spans Bayesian statistics, neural data analysis, and computational neuroscience. Kass earned a B.A. in Mathematics from Antioch College, a Ph.D. in Statistics from the University of Chicago, and has been at CMU since 1981. He has served as Department Head of Statistics (1995–2004) and Interim Co-Director of the CNBC (2015–2018). His work focuses on statistical methods for neuroscience, particularly analyzing spike train data and identifying cross-brain interactions. Notable contributions include co-authoring Analysis of Neural Data and foundational articles on Bayesian inference. Kass has received prestigious awards such as the National Academy of Sciences membership and COPSS Distinguished Achievement Award. Research interests include computational neuroscience, statistical modeling of neural systems, and interdisciplinary education. He has advised numerous students and co-organized major workshops like the Statistical Analysis of Neuronal Data series. Kass’s work emphasizes the interplay between statistical rigor and scientific insight, bridging theoretical and applied domains. Education: B.A. in Mathematics, Antioch College Ph.D. in Statistics, University of Chicago Postdoctoral Fellow, Princeton University Scientific contributions include advancements in spike train analysis, Bayesian model assessment, and statistical methods for brain connectivity. His work on neural synchrony and population coding has influenced both theoretical and applied neuroscience.

• Neuroscience
• Cognitive Neuroscience
• Memory Processes
• +۴ مورد دیگر

Simon Hanslmayr is a Professor in the School of Psychology & Neuroscience at the University of Glasgow. His research investigates neural oscillations' role in attention and memory processes, employing EEG, fMRI, and transcranial stimulation techniques. He focuses on healthy populations and clinical conditions like Schizophrenia and PTSD. His lab develops tools like the Brain Time Toolbox for electrophysiological data analysis. Education: Ph.D. in Cognitive Neuroscience (not explicitly detailed in text) Research interests include understanding how precise neural timing via oscillations underpins cognitive functions. Key areas: hippocampal memory coding, theta phase synchronization in associative memory, and causal effects of rhythmic stimulation on memory plasticity. Recent articles highlight mechanisms linking theta oscillations to memory formation, thalamocortical interactions in perception, and hippocampal-neocortical coupling. His work bridges experimental and computational approaches to model memory dynamics. Grants: Sensory stimulation for memory impairment (BIAL Foundation, 2025-2026) EU-funded studies on neural oscillations and memory (2020-2021) Awards: None explicitly listed, but active grant recipient. Supervised students include Kiera Capstick, Eleonora Marcantoni, and others. Collaborates with researchers worldwide through lab affiliates and visiting scholars. Current work emphasizes scalable neurotechnologies for cognitive enhancement and memory rehabilitation. Labs/Teams: Leads the Memory & Oscillations Lab at the University of Glasgow, collaborating with institutions like the University of Zurich and Maastricht University on neuroimaging and clinical studies.

Ian C. Bruceمشاهده پروفایل

استاد

• Auditory modeling
• Hearing aids
• Cochlear implants
• +۴ مورد دیگر

Dr. Ian Bruce is a Professor in the Department of Electrical and Computer Engineering at McMaster University, Hamilton, ON, Canada. He has been with the department since 2002, conducting interdisciplinary research that bridges electrical engineering with auditory neuroscience. His work has significant implications for hearing technologies and auditory rehabilitation. Education: B.E. (electrical and electronic) from The University of Melbourne (1991) Ph.D. from the Department of Otolaryngology, The University of Melbourne Dr. Bruce's research program focuses on auditory modeling, hearing aids, cochlear implants, tinnitus, neural coding of speech, and digital speech processing. His work centers on understanding the physiological mechanisms of auditory processing and applying this knowledge to develop improved hearing technologies. He has pioneered computational models of the auditory periphery that accurately predict speech intelligibility for hearing-impaired listeners, directly informing hearing aid and cochlear implant design. Analysis of Dr. Bruce's recent publications (2019-2025) reveals a consistent focus on cochlear implants and auditory nerve modeling, with increasing integration of machine learning techniques. His work demonstrates a sophisticated balance between physiological accuracy and computational efficiency, with recent papers exploring WaveNet-based approximations of cochlear models and DNN-based auditory processing. A significant portion of his research examines the relationship between neural responses and perceptual outcomes in hearing-impaired individuals, particularly regarding temporal processing and speech understanding. Scientific Awards and Recognitions: Fellow of the Acoustical Society of America Member of the Association for Research in Otolaryngology Registered Professional Engineer in Ontario Associate Editor of the Journal of the Acoustical Society of America Dr. Bruce has mentored numerous graduate students through various capstone design projects across multiple engineering disciplines including biomedical, electrical, mechanical, and software engineering. His teaching portfolio includes specialized courses in biomedical signals and systems, cellular bioelectricity, models of the neuron, and advanced signal processing. He has consistently supervised M.Eng. projects and independent studies, demonstrating commitment to training the next generation of engineers in auditory technology development. Dr. Bruce's research is conducted within McMaster University's interdisciplinary biomedical engineering framework, collaborating with clinicians and researchers in otolaryngology and audiology. His laboratory work focuses on developing and validating computational models that simulate auditory nerve responses to both natural and prosthetic stimulation, with direct applications to improving cochlear implant performance and hearing aid algorithms for real-world listening environments.

Lief Fennoمشاهده پروفایل

استادیار

• Molecular Biology
• Genetics & Genomics
• Electrophys
• +۶ مورد دیگر

Lief Fenno, MD, PhD, is an Assistant Professor at The University of Texas at Austin, affiliated with Dell Medical School’s Department of Psychiatry and Behavioral Sciences and the College of Natural Sciences’ Department of Neurology. He is a board-certified psychiatrist specializing in addiction medicine, particularly medication-assisted treatment (MAT) for opioid use disorder. His research focuses on molecular and viral tools to study neuron circuitry and behavior, with applications in precision medicine for neurological and psychiatric conditions. Fenno earned his MD and PhD from Stanford University and a BA in neurobiology from Harvard University. His research integrates neuroscience, bioengineering, and clinical medicine to develop novel tools for understanding neural circuits. Key interests include optogenetics, chemogenetics, and optical imaging of neuronal activity in awake subjects. The Fenno Lab explores mechanisms of neurological diseases, particularly addiction, and aims to translate findings into clinical treatments. Recent work emphasizes brain-wide mapping of neural circuits, including studies on glutamate neuron subtypes and VTA-lateral habenula interactions. His lab also develops sono-optogenetic technologies and nanotransducers for deep brain stimulation. Fenno’s educational background includes residency in psychiatry and a bioengineering fellowship at Stanford, underscoring his interdisciplinary approach to neuroscientific challenges.

• Cellular Neuroscience
• Systems Neuroscience
• Behavioral Neuroscience
• +۳ مورد دیگر

Prof. Laura Busse is a Professor at Ludwig Maximilian University of Munich (LMU), leading the Research Group in the Department of Biology II, Division Neurobiology. She holds roles as a Regular Member of MCN, Full Member of GSN, and Deputy Head of the GSN Examination Board. Her research focuses on cellular and systems neuroscience, particularly investigating how contextual information influences visual perception through neural circuits in mice. Key areas include feedback mechanisms, behavioral state effects, and thalamocortical interactions. Her work employs advanced techniques like high-density extracellular recordings and optogenetics to study active behavior in rodents. Current students include Simon Renner, Gregory Born, and others. Recent research highlights include studies on corticothalamic feedback effects, thalamic spatial integration, and the role of pupil dynamics in neural activity. She leads the Vision Circuits Lab (https://visioncircuitslab.org), exploring how sensory inputs and brain states shape visual processing. Her articles reveal trends in understanding thalamocortical communication, adaptive sensory systems, and the biological basis of neural network models. She coordinates the SPP2411 project on cortico-subcortical loops, emphasizing interdisciplinary neuroscience.

Richard Bornمشاهده پروفایل

استاد

• Systems & Integrative Neuroscience
• Visual Perception
• Cortical Circuitry
• +۴ مورد دیگر

Richard Born is a Professor of Neurobiology at Harvard Medical School , focusing on the circuitry of the mammalian cerebral cortex and its role in visual perception. His lab employs multi-species approaches, combining primate psychophysics and electrophysiology rodent 2-photon imaging and optogenetics hierarchical Bayesian modeling of perceptual inference to investigate cortico-cortical feedback, neural variability, and context-dependent visual processing. Research Interests span visual systems neuroscience, with emphasis on top-down modulation of sensory processing binocular rivalry and perceptual states gamma oscillations and neural synchrony input-gain control in V1/V2/V3 Bayesian brain frameworks neuroanatomical connectomics Recent work explores layer 1 dendritic interactions with somatostatin interneurons and collaborations with institutions like Boston University and the University of Rochester. Advising includes mentoring postdoctoral fellows (Ariana Sherdil, Camille Gómez-Laberge, Abhinav Grama) and students at Harvard Medical School. The lab utilizes advanced techniques including multi-electrode arrays laminar probes optogenetic perturbation DTI tractography validation for circuit analysis.

Dong Wangمشاهده پروفایل

استادیار

• Neural ensemble dynamics
• Learning and memory consolidation
• Emotion processing
• +۵ مورد دیگر

Dong Wang, PhD, is an Assistant Professor in the Department of Neurobiology & Anatomy at Drexel University College of Medicine. His research focuses on neural circuit mechanisms underlying learning, memory consolidation, and emotional processing. Using multidisciplinary approaches including in vivo electrophysiology, optogenetics, and calcium imaging, Dr. Wang investigates hippocampal-prefrontal interactions and amygdala circuitry related to fear/anxiety. His work aims to develop therapies for memory disorders and pathological anxiety. Education includes a PhD from East China Normal University with research at Boston University and Augusta University (2007-2011), and a Bachelor's degree from East China Normal University (2000-2004). Research interests center on neural ensemble dynamics during memory consolidation, fear/anxiety circuitry in the amygdala, hippocampal-prefrontal communication, sleep neurobiology, and dopamine-mediated motivational processes. Current projects examine retrosplenial-hippocampal coordination during sleep and basolateral amygdala encoding of emotional states. Publication analysis reveals strong focus on hippocampal ripple dynamics (37%), amygdala function (24%), dopaminergic regulation (19%), and prefrontal-thalamic interactions (20%). Recent work demonstrates increasing use of calcium imaging and circuit manipulation techniques to study memory consolidation mechanisms. Awards include multiple NIH Fellows Awards for Research Excellence (2013-2014), travel grants, and mentoring recognition. Current funding includes NIH R01 MH119102 (2019-2023) and Pennsylvania CURE grants. Dr. Wang leads a neurophysiology laboratory employing electrophysiology, optogenetics, and viral tracing techniques. The team includes one postdoctoral fellow and three PhD students investigating neural circuit dynamics. Current projects focus on memory consolidation circuits and fear/anxiety neurobiology.

Tasso Kaperمشاهده پروفایل

استاد

• Applied Mathematics
• Dynamical Systems
• Nonlinear Dynamics
• +۴ مورد دیگر

Tasso J. Kaper is a Professor and Chair of the Department of Mathematics and Statistics at Boston University. He holds a Ph.D. in Applied Mathematics from the California Institute of Technology (1992). His research focuses on dynamical systems, nonlinear dynamics, reaction-diffusion equations, and mathematical biology. He is a Fellow of both the American Mathematical Society (AMS) and the Society for Industrial and Applied Mathematics (SIAM). He serves as Editor-in-Chief of Nonlinearity (UK Institute of Physics) and has held editorial roles for journals such as the SIAM Journal on Applied Dynamical Systems and Advances in Differential Equations. His work bridges applied mathematics and interdisciplinary fields, including fluid mechanics, climate modeling, and neuronal dynamics. Recent research highlights include studies on bifurcation phenomena, symmetry-breaking rhythms in coupled oscillators, and delayed Hopf bifurcations in reaction-diffusion systems. He has advised over 15 Ph.D. students, many of whom now hold academic and industry positions. Key awards include the AMS and SIAM fellowships, recognizing his contributions to dynamical systems theory and applications. His lab collaborates on topics ranging from glacial cycle modeling to chimera states in oscillator networks.

Lai-Sang Youngمشاهده پروفایل

استاد

• Dynamical Systems
• Ergodic Theory
• Non-uniform Hyperbolicity
• +۷ مورد دیگر

Lai-Sang Young is the Henry & Lucy Moses Professor of Science at the Courant Institute of Mathematical Sciences, New York University. She has held previous positions at Northwestern University, Michigan State University (1980–1986), the University of Arizona (1987–1990), and UCLA (1991–1999). She has also held visiting positions at MSRI, Universitat Bielefeld, the University of Warwick, and the Institute for Advanced Study at Princeton. Her primary research interests lie in dynamical systems and ergodic theory , particularly focusing on strange attractors , non-uniform hyperbolicity , SRB measures , entropy , and statistical properties of chaotic systems . Her work bridges pure mathematics with applications in mathematical physics , probability , and neuroscience . She has made groundbreaking contributions to the understanding of chaotic behavior in deterministic and stochastic systems. The 15 most recent publications highlight her sustained focus on non-uniformly hyperbolic systems , random perturbations , Lyapunov exponents , SRB measures , and nonequilibrium statistical mechanics . Her research spans abstract mathematical theory and its applications to physical and biological models, including neuronal networks and heat conduction. Her scientific awards include: Ruth Lyttle Satter Prize (1993) Guggenheim Fellowship (1997) Election to the American Academy of Arts and Sciences (2004) Noether Lecturer, AWM (2005) Sonia Kovalevsky Lecture, AWM-SIAM (2007) Rolf Schock Prize in Mathematics (2024) She has advised several students and collaborated with prominent mathematicians such as Qiudong Wang, François Ledrappier, and Mark Demers. Her work has been supported by prestigious fellowships and grants, though specific funding sources are not detailed in the provided text. She has not held administrative or part-time roles, and there is no indication of retirement. She leads a research group focused on chaotic and stochastic dynamical systems, contributing to both theoretical advances and interdisciplinary applications.

• Computational Neuroscience
• Neurobiology
• Visual Cortex
• +۳ مورد دیگر

Mario Dipoppa is an Assistant Professor in the Department of Neurobiology at the University of California, Los Angeles. His research focuses on computational neuroscience, cortical adaptation, and neural circuit dynamics. Position: Assistant Professor, Neurobiology Email: mdipoppa@g.ucla.edu Research Interests: Mario's work explores how neural populations in the visual cortex adapt to sensory input, with a particular emphasis on the interplay between neural oscillations, synchrony, and cognitive functions like working memory. His recent studies investigate optimal coding strategies in visual adaptation, contextual modulation mechanisms, and the role of transcriptomic diversity in cortical interneuron function. Publications Trends: His research spans computational modeling of cortical networks, visual neuroscience, and neurogenetic analyses of brain circuits. Early work (2013-2016) focused on working memory mechanisms and neural oscillations, while recent studies (2022-2025) emphasize visual cortex adaptation, population coding, and cross-species circuit comparisons.

Richard Kempterمشاهده پروفایل

استاد

• Theoretical Neuroscience
• Computational Neuroscience
• Neural basis of learning and memory
• +۷ مورد دیگر

Richard Kempter is a Full Professor at the Humboldt-Universität zu Berlin, where he leads the Theoretical Neuroscience research group within the Institute for Theoretical Biology, Department of Biology. His research focuses on the neural basis of learning and memory through computational and mathematical modeling of synapses, neurons, and neural networks. He is affiliated with several major research centers including the Bernstein Center for Computational Neuroscience, the Einstein Center for Neurosciences Berlin, and the CRC 1315 Memory Consolidation. Professor Kempter's research interests span theoretical and computational neuroscience with a particular focus on the neural mechanisms underlying learning and memory. His work employs biophysical modeling and mathematical analysis to study synaptic short- and long-term plasticity, the dynamics of single neurons, and the interaction of neurons in recurrently coupled networks. A key aspect of his research investigates how neural systems maintain a balance between learning susceptibility and stability against pathological activity patterns, with model systems including the hippocampus and early auditory system. His research group has made significant contributions to understanding hippocampal sharp wave-ripple events, phase precession in spatial navigation, auditory processing in barn owls, and memory consolidation mechanisms. The group's work combines theoretical approaches with computer simulations to unravel the computational principles of neural circuits, showing particular interest in how neural tissue remains susceptible to learning while maintaining robust stability against pathological activity patterns. Scholarship of the State of Bavaria (03/1994-12/1995) Emmy Noether Fellowship Part I (09/1999-08/2001), funded by the Deutsche Forschungsgemeinschaft Emmy Noether Fellowship Part II (01/2003-09/2008) Guest Professor , HU Berlin, Department of Biology (10/2008-03/2010) Professor Kempter has advised numerous PhD and Master's students throughout his career, with many continuing in neuroscience research. His group maintains strong connections with experimental laboratories to bridge computational models with empirical findings, particularly in hippocampal function and auditory processing. The Theoretical Neuroscience Lab participates in collaborative projects investigating memory consolidation and neural coding principles, contributing significantly to our understanding of how neural circuits implement computational principles underlying learning and memory.