جست‌وجوی استاد و پژوهشگر

Timothy Holyمشاهده پروفایل

استاد

• Neuroscience
• Olfaction
• Neural Coding
• +۶ مورد دیگر

Timothy Holy, PhD is the Alan A. & Edith L. Wolff Professor of Neuroscience and Vice Chair of Research at Washington University School of Medicine. He leads the Holy Lab, which focuses on the neural mechanisms of olfactory coding and the development of innovative imaging technologies for neuroscience research. His educational background includes a BA in Mathematics and Physics (summa cum laude) from Rice University (1991), an MA in Physics from Princeton University (1992), and a PhD in Physics from Princeton University (1997) under thesis advisor Stanislas Leibler. Dr. Holy's research spans multiple domains of neuroscience with particular emphasis on the olfactory system of mice. His lab has pioneered light sheet microscopy for calcium imaging, enabling simultaneous recording from tens of thousands of neurons. More recently, they developed PhOTseq, a technique for optically tagging neurons for later sequencing. His work bridges physics, neuroscience, and computational approaches to understand how sensory systems process information. He is also among the world's foremost creators of the Julia programming language, which has gained exponential adoption in scientific computing. Analysis of his recent publications reveals a strong focus on neural coding in decision-making circuits, olfactory processing, and the development of computational tools for biological research. His work increasingly integrates machine learning approaches with traditional neuroscience techniques. Distinguished Teaching Service Award (2005, 2008, 2014) McKnight Technological Innovation in Neuroscience Award (2007) St. Louis Academy of Sciences Innovation Award (2009) NIH Director's Pioneer Award (2009) Society for Neuroscience Research Award for Innovation in Neuroscience (RAIN) (2009) Dr. Holy has mentored numerous students and postdoctoral researchers who have gone on to establish their own research programs. His lab has secured significant grant funding supporting technology development and fundamental neuroscience research. Current projects include investigating cellular mechanisms of individuality and plasticity, navigation using olfactory cues, and developing new mathematical tools for optimization and machine learning. The Holy Lab combines a focus on understanding neural circuits and behavior with a willingness to pioneer new technologies. It maintains strong collaborations across disciplines, particularly in the development and application of the Julia programming language for biological research.

David M. Smithمشاهده پروفایل

استاد

• Neuroscience
• Behavioral Neuroscience
• Neurobiology
• +۳ مورد دیگر

David M. Smith is a Professor in the Department of Psychology at Cornell University, affiliated with the College of Arts and Sciences. His research focuses on neural systems underlying learning and memory in rodents, employing techniques like neuronal recording, optogenetics, and chemogenetics. He directs the Laboratory of Neurobiology of Memory and Learning, investigating how brain regions contribute to memory formation and retrieval. Academic interests include Neuroscience, Behavioral Neuroscience, and Cognitive Neuroscience. He teaches courses such as PSYCH 4230/6230 on hippocampal function and navigation, and supervises undergraduate and graduate research projects. Notable contributions include studies on retrosplenial cortex roles in spatial navigation and olfactory memory mechanisms. His work integrates experimental and computational approaches, as seen in collaborations leveraging machine learning for clinical prediction (e.g., post-surgical complications). Despite no explicitly listed awards, his research has been highlighted in Cornell’s ‘New Frontier Grants’ initiative for innovative interdisciplinary efforts.

• Neuroscience
• Olfactory Systems
• Sensory Processing
• +۳ مورد دیگر

Dr. Katrin Vogt is a researcher at the University of Konstanz, specializing in neuroethology and sensory systems. Her work focuses on understanding recurrent neural circuits governing state-dependent behavior, particularly in olfactory systems of Drosophila larvae. She leads a subproject investigating hunger-dependent serotonergic modulation in the antennal lobe, collaborating with a doctoral student. Her research bridges vertebrate and invertebrate models to identify conserved network principles across species. Dr. Vogt is part of a DFG-funded interdisciplinary team examining recurrent circuits' roles in flexible behavioral responses to environmental changes. Her research interests include neural circuitry modulation, sensory integration, and behavioral plasticity. Key projects involve analyzing how sensory inputs are modulated by internal states like hunger, and how recurrent connections enable adaptive responses. She has contributed to studies on visual and olfactory memory formation, multisensory integration, and navigational strategies in Drosophila. Publications highlight work on dopamine signaling in taste punishment, social behavior in larvae, and cross-species odor coding principles. Her findings aim to uncover fundamental mechanisms underlying sensory-driven behavior and neural plasticity in both vertebrates and invertebrates.

Aprajita Mohantyمشاهده پروفایل

دانشیار

• Emotion Perception
• Anxiety Disorders
• Psychotic Disorders
• +۴ مورد دیگر

Aprajita Mohanty, Ph.D., is an Associate Professor of Clinical Psychology at Stony Brook University's Department of Psychology. She holds a Ph.D. from the University of Illinois-Urbana Champaign (2007). Her research focuses on the interplay between emotion, perception, and cognitive control, particularly in anxiety and psychotic disorders. Using fMRI, ERP, and computational modeling, her lab investigates how the brain anticipates emotional stimuli and how these processes contribute to psychopathology. Research Themes: Emotion-cognition interactions in anxiety and psychosis Threat perception and decision-making Predictive processing and neural markers of psychotic disorders Role of contextual learning in threat detection Key Contributions: Elucidated how anticipatory brain activity enhances threat perception in anxiety Identified transdiagnostic neural markers of psychotic disorders (e.g., mismatch negativity) Explored olfactory perception and odor identification in clinical populations Grants & Collaborations: Collaborates with Dr. Roman Kotov (Psychiatry) on emotion-cognition interactions in psychosis. Actively reviews graduate student applications for the 2024-2025 academic year. Labs/Teams: Directs the Emotion, Perception, and Cognition Lab at Stony Brook, integrating cognitive, clinical, and neuroscience methodologies.

Andrew Linمشاهده پروفایل

مدرس ارشد

• Neuroscience
• Olfactory System
• Neural Circuit Function
• +۳ مورد دیگر

Dr. Andrew Lin is a Senior Lecturer and School Director of One University at the University of Sheffield's School of Biosciences. He holds a PhD from the University of Cambridge and a BA in Biology from Harvard University. His career includes roles as a Lecturer (2019-2022), Vice-Chancellor’s Fellow (2015-2019), and Postdoctoral Fellow at the University of Oxford (2009-2015). Research focuses on how the brain encodes sensory information for memory formation, using Drosophila's olfactory system as a model. Key areas include sparse coding in Kenyon cells, synaptic inhibition/excitation balance, and neural circuit dysfunction links to epilepsy. Teaching includes modules like BMS11004 Introduction to Neuroscience and BMS248 Neural Circuits, Behaviour and Memory. He has secured grants from the European Research Council, BBSRC, and Wellcome Trust. Professional memberships include the FENS-Kavli Network and BBSRC Pool of Experts. Lab research employs techniques like in vivo two-photon imaging, electrophysiology, and genetic manipulation. PhD opportunities are available in neural circuitry and sensory processing.

Shaul Druckmannمشاهده پروفایل

دانشیار

• Neuroscience
• Computational Biology
• Neural Circuits
• +۷ مورد دیگر

Shaul Druckmann is an Associate Professor at Stanford University in the departments of Neurobiology, Psychiatry and Behavioral Sciences, and by courtesy in Electrical Engineering. He is affiliated with Stanford Bio-X and the Wu Tsai Neurosciences Institute. Key Research Areas: Neural circuit dynamics, computational neuroscience, sensory-motor integration, and brain-wide information representation. Academic Roles: Advisor, mentor, and instructor for graduate and doctoral programs at Stanford. His work combines theoretical modeling, in vivo imaging , and genetic dissection to uncover how neural circuits process information and generate behavior. Recent trends in his research emphasize cross-species comparative analysis (Drosophila, rodents, C. elegans) and interdisciplinary applications in neuroprosthetics. 2023-2024 Awards: Award for Excellence in Graduate Teaching, Stanford University McKnight Scholar, McKnight Foundation Sloan Research Fellow, Sloan Foundation Advising & Teaching: Dr. Druckmann mentors doctoral students across Neurobiology, Psychiatry, and Applied Physics. He teaches foundational courses like Introduction to Mathematical Tools in Neuroscience and Neuroscience Computational Core , while supervising independent studies in bioengineering and physics. Laboratory: The Druckmann Lab at Stanford employs advanced imaging , computational modeling , and connectome analysis to bridge theoretical neuroscience with applications in medical devices and cognitive frameworks.

Sophie Forsterمشاهده پروفایل

دانشیار

• Cognitive Neuroscience
• Attention and Distraction
• Mind-Wandering
• +۳ مورد دیگر

Dr. Sophie Forster is an Associate Professor and Reader in Cognitive Neuroscience at the University of Sussex's School of Psychology, where she leads the Sussex Attention Lab. Her research focuses on attentional mechanisms, particularly how individuals become distracted by external stimuli or internal thoughts. Key interests include attentional failure, clinical attention disorders (e.g., ADHD), and the interplay between perceptual load and cognitive control. She has held grants from the ESRC, BIAL Foundation, and AHRC, investigating topics like mind-wandering and perceptual decoupling. Teaching roles include courses on attention, clinical cognition, and cognitive psychology. Professional activities include editorial roles at Journal of Experimental Psychology: Human Perception and Performance and ESRC peer review. Education: PhD from University College London (UCL), post-doctoral work at UC Berkeley, and an ESRC fellowship at UCL before joining Sussex in 2013. Research labs and collaborations include the Sussex Attention Lab and cross-disciplinary projects on autism and neurodiversity. Key research themes: 1) Attentional capture and distraction, 2) Mind-wandering and its cognitive consequences, 3) Application of perceptual load theory to clinical contexts (e.g., eating behavior, addiction). Recent grants include studying internal distraction and attentional decoupling mechanisms. Her work bridges cognitive neuroscience, experimental psychology, and clinical applications. Grants (selected): ESRC grant on 'Watching the mind travel' (2022–2024) BIAL Foundation grant on perceptual decoupling (2023–2024) AHRC project on autism and art engagement (2023–2024) Teaching focuses on third-year 'Attention: Distraction, daydreaming and diversity' and second-year 'Cognitive Psychology'. Office hours include drop-in sessions via bookable appointments .

Leslie M. Kayمشاهده پروفایل

استاد

• olfactory neurophysiology
• olfaction and cognition
• roles of context in perception
• +۴ مورد دیگر

Leslie M. Kay is a Professor of Psychology and Deputy Dean for Research at The University of Chicago. Her research focuses on olfactory neurophysiology, oscillatory dynamics, and the interplay between context and cognition in sensory processing. Education: BA in Liberal Arts from St. John's College, Santa Fe; PhD in Biophysics from UC Berkeley At the Institute for Mind & Biology, her lab investigates how behavioral context affects olfactory and limbic system neurophysiology through psychophysical and electrophysiological approaches. Key research areas include: Roles of respiratory rhythms in neural synchronization Theta/gamma oscillation mechanisms Odor perception across sensory pathways Neurocognitive strategies in odor processing

Venkatesh Murthyمشاهده پروفایل

استاد

• Neuroscience
• Olfaction
• Neural Circuits
• +۳ مورد دیگر

Venkatesh Murthy serves as the Raymond Leo Erikson Life Sciences Professor of Molecular & Cellular Biology at Harvard University and co-directs the Harvard Brain Science Initiative. His laboratory is housed within the Faculty of Arts and Sciences at Harvard's Biological Laboratories in Cambridge, Massachusetts. His research investigates the neural and algorithmic basis of odor-guided behaviors in terrestrial animals, primarily using mouse models. The Murthy Lab develops naturalistic behavioral paradigms that enable simultaneous electrophysiological recordings, high-resolution optical imaging, and optogenetic manipulation. Key research areas include neural circuit dynamics in the olfactory system, modification of circuits through behavioral state and learning, and development of computational models to explain neural observations. The lab maintains strong interdisciplinary collaborations with theoretical neuroscientists. Recent publications (2023-2025) reveal consistent focus on olfactory navigation mechanisms, neural signal processing algorithms, circuit-level analysis of social behaviors, and biomimetic applications for electronic sensing systems. Work spans experimental techniques including multi-animal pose estimation (using DeepLabCut), neural deconvolution methods, and analysis of fluctuating odor environments. The Murthy Lab operates within Harvard's Department of Molecular & Cellular Biology as part of the broader Harvard Brain Science Initiative ecosystem, contributing to research in Cognitive and Behavioral Neuroscience, Theory and Computation, and Sensory and Motor Systems.

Paul Millerمشاهده پروفایل

استاد

• Computational Neuroscience
• Neuroscience
• Dynamical Systems
• +۵ مورد دیگر

Paul Miller is a Professor of Biology at Brandeis University and a member of the Volen National Center for Complex Systems. His research focuses on computational neuroscience, integrating dynamical systems theory with experimental data to understand neural mechanisms underlying decision-making, memory, and sensory processing. He holds a Ph.D. from the University of Bristol (UK) and a B.A. from Cambridge University. Before joining Brandeis in 2000, he was at Georgetown University and conducted postdoctoral work in theoretical physics at Oak Ridge National Laboratory. Education: B.A., Cambridge University (1991) Ph.D., University of Bristol (1994) Research Interests: Computational Neuroscience emphasizes modeling neural circuits for short-term/long-term memory, decision-making processes, and the dynamics of neural ensemble activity. His work bridges theoretical approaches (e.g., hidden Markov modeling, spiking neuron networks) with experimental data from cortical and hippocampal systems. He explores how quasistable attractor states enable robust computation and how homeostatic mechanisms stabilize neural activity. Notable Contributions: Developed models explaining how integral feedback control enables robust sequential decision-making, elucidated synaptic mechanisms for spatiotemporal discrimination, and analyzed the role of calcium/calmodulin-dependent protein kinase II (CaMKII) in long-term memory stability. His textbook An Introductory Course in Computational Neuroscience (MIT Press) is widely used in graduate programs. Labs/Teams: Leads the Computational Neuroscience Lab at Brandeis, collaborating with experimentalists to validate theoretical models. Active in interdisciplinary projects involving neurophysiology, systems biology, and mathematical neuroscience.

Jay Gottfriedمشاهده پروفایل

استاد

• Human Olfactory Neuroscience
• Cognitive Neuroscience
• Behavioral Neuroscience
• +۳ مورد دیگر

Jay Gottfried is the Arthur H. Rubenstein University Professor at the University of Pennsylvania's Perelman School of Medicine. His research focuses on human olfactory neuroscience, investigating how odor perception is processed in limbic circuits related to emotion, learning, and memory. He employs advanced techniques like functional MRI (fMRI) and intracranial EEG to study olfactory systems, with recent work exploring olfactory navigation using grid-like neural representations and interactions between sensory cortices. Education: A.B. in Molecular Biology from Princeton University; M.D. and Ph.D. in Physiology and Neuroscience from NYU School of Medicine. Postdoctoral training in olfactory neuroscience at University College London. Research Interests include odor coding, oscillations in the piriform cortex, and translational studies linking olfactory dysfunction to neurodegenerative diseases. Notable projects involve odor categorization, fear learning, and sleep-dependent memory consolidation. His lab bridges human and rodent studies to elucidate olfactory mechanisms. Key findings include temporal segregation of nostril odor signals, grid-cell-like representations in olfactory navigation, and the role of piriform cortex in integrating sensory information. He collaborates on developing high-resolution imaging and EEG techniques to map olfactory circuits.

Enrique Blairمشاهده پروفایل

دانشیار

• Quantum-dot Cellular Automata
• Quantum Information Sciences
• Quantum Mechanics
• +۱۱ مورد دیگر

Dr. Enrique Blair is an Associate Professor in the Department of Electrical and Computer Engineering at Baylor University, where he has served since 2015, advancing to his current rank in 2021. His academic journey includes prior roles as a Military Instructor at the U.S. Naval Academy and service in the U.S. Navy submarine force. He is actively engaged in research, teaching, and mentoring within the College of Engineering. His research focuses on the theoretical and computational aspects of quantum engineering, particularly in quantum-dot cellular automata (QCA), open quantum systems, and quantum information sciences. He explores molecular computing paradigms, quantum decoherence, and the quantum mechanical basis of olfaction, aiming to develop ultra-dense, low-power nanoelectronic devices and novel quantum technologies. His interdisciplinary work bridges electrical engineering, physics, chemistry, and materials science. The recent articles highlight a strong trend in molecular QCA design, quantum simulation for NISQ devices, and the application of ab initio methods to understand counterion effects and molecular stability. His research increasingly integrates machine learning for material discovery and emphasizes robustness in quantum circuits against environmental noise and external fields. The publications reflect a consistent focus on foundational quantum phenomena with practical applications in computing, sensing, and security. Research Grant, Office of Naval Research, Code 312 Nanoscale Computing Devices and Systems (May 2020 - May 2023) Summer Sabbatical, Baylor University (Summer 2019) Senior Member, IEEE (2019) Outstanding Faculty Award (untenured, tenure-track faculty), Baylor University (2018) Proposal Development Award, Office of the Vice Provost for Research, Baylor University (2017) Rising Star Program, Baylor University (2017-2018) Undergraduate Research and Scholarly Achievement Award, Office of the Vice Provost for Research, Baylor University (2017-2018) Rising Star Program, Baylor University (2016-2017) Graduate Research Fellowship Program, National Science Foundation (2010-2015) National Defense Science and Engineering Graduate Fellowship, American Society for Engineering Education (2010-2013) Dr. Blair has advised multiple Ph.D. and Master’s students, including Colin Burdine, Nischal Gautam, and Nishat Liza, and has mentored numerous undergraduate researchers. His research is supported by competitive grants, particularly from the Office of Naval Research, reflecting the strategic importance of his work in nanoscale computing. He integrates teaching and research, offering courses such as Quantum Mechanics for Engineers and Introduction to Quantum Computing, and promotes scholarly productivity through tools like Emacs Org Mode and LyX. He leads an active research team focused on molecular QCA and quantum information, with current members including Ph.D. students and undergraduates. The team conducts simulations, theoretical modeling, and design of quantum devices, contributing to advancements in nanoelectronics and quantum computing. Collaborations with experts in chemistry, physics, and computer science further extend the impact of the research.

David C. Sheridanمشاهده پروفایل

دانشیار

• Physiology
• Neuroscience
• Sensory Neuroscience
• +۲ مورد دیگر

David C. Sheridan is an accomplished Associate Professor and Department Chair within the Department of Biology & Earth Science at Otterbein University. With a strong academic foundation in physiology and psychology, he teaches a range of courses in human and animal anatomy & physiology. His professional profile reflects a deep commitment to both education and research in the physiological sciences. Dr. Sheridan's educational journey is marked by advanced degrees from prestigious institutions. He earned his Ph.D. and M.S. in Physiology from The University of Wisconsin, complemented by dual Bachelor of Arts degrees in Psychology and History from The University of Minnesota. This diverse academic background informs his interdisciplinary approach to physiology. His research program is centered on integrative physiology, with two primary thrusts: investigating reaction times across sensory modalities and examining physiological adaptations during exercise. These interests are deeply rooted in neuroscience, particularly sensory systems, and extend to molecular mechanisms of muscle function as evidenced by his publication record. Dr. Sheridan employs a variety of experimental techniques to unravel complex physiological processes. A review of his scholarly output indicates a sustained focus on the molecular underpinnings of excitation-contraction coupling in skeletal muscle. His work frequently appears in high-impact journals such as Biophysical Journal and Proceedings of the National Academy of Sciences, demonstrating expertise in calcium channel function, protein topology, and neural circuit dynamics. The interdisciplinary nature of his research bridges biophysics, neuroscience, and exercise physiology. In his role as an educator and department chair, Dr. Sheridan mentors undergraduate students in research projects, fostering the next generation of scientists. While specific grant details are not publicly enumerated, his publication history suggests successful research funding. His leadership extends to shaping the academic direction of the Biology & Earth Science department at Otterbein University.

• Olfactory System
• Neuroanatomy
• Neurophysiology
• +۳ مورد دیگر

Adam C. Puche, PhD, is a tenured Professor and Vice Chair of the Department of Anatomy and Neurobiology at the University of Maryland School of Medicine. His laboratory investigates olfactory system development, neural circuitry, and function using neuroanatomical, electrophysiological, and advanced imaging techniques. He directs the medical school course Structure and Development , covering gross anatomy, histology, and embryology. Education: Ph.D. in Anatomy and Cell Biology, University of Melbourne (Australia) Post-doctoral training at University of Maryland with Dr. Michael T. Shipley Research Focus: Dr. Puche's work examines: (1) Embryonic/postnatal olfactory system development; (2) Neurogenesis and migration of olfactory interneurons via the rostral migratory stream; (3) Synaptic processing in glomerular microcircuits; (4) In vivo neural activity mapping using calcium imaging and electrophysiology; (5) Clinical applications in trauma training and neurodegenerative diseases. Publication Trends (2019-2025): His recent articles demonstrate strong foci on olfactory bulb neural dynamics, cortical signaling pathways, innovative surgical training models (VR/cadaveric), fluorescence imaging techniques, and neuropathology of brain injury. Computational approaches like AI-based medical imaging analysis are emerging themes. Laboratory: The lab employs multidisciplinary approaches including whole-cell patch clamping, two-photon microscopy, molecular biology, and behavioral assays to study neural circuit mechanisms in rodent models.

D. Matthew Wachowiakمشاهده پروفایل

استاد

• Olfaction
• Neural representations of odors
• Sensory processing
• +۵ مورد دیگر

D. Matthew Wachowiak is a Professor in the Department of Neurobiology at the University of Utah School of Medicine, where he serves as Principal Investigator of the Wachowiak Lab. His research focuses on understanding how neural circuits transform sensory representations, with particular interest in how animals actively acquire sensory information to guide behavior. He uses the mouse olfactory system as a powerful model to analyze sensory representations and investigate how the dynamics of neural circuits process incoming information to guide behavior and shape perception. Dr. Wachowiak's educational background includes: PhD from University of Florida Postdoctoral Fellowship at Yale University School of Medicine Multiple Fellowships at Marine Biological Laboratory BS from Duke University His research program centers on four interconnected areas: (1) Olfaction as an Active Sense, investigating how sniffing shapes odor representations; (2) Cracking the Olfactory Code, analyzing how odor information is represented across the olfactory bulb; (3) Organization of Inhibition in the Olfactory Bulb, studying how synaptic inhibition shapes odor processing; and (4) Top-down Modulation of Olfactory Processing, examining how neuromodulatory pathways affect early olfactory processing. His lab employs optical reporters of neural activity targeted to genetically-defined neuron populations, two-photon imaging in awake behaving animals, and custom olfactometers for precise odor delivery. Dr. Wachowiak's publication record demonstrates consistent contributions to understanding the neural basis of olfaction, with recent work focusing on how sniffing parameters affect odor representations, mitral/tufted cell processing, and olfactory bulb inhibition. His lab has developed innovative tools including high-throughput olfactometers and functional atlases of odorant responses, contributing significantly to the field's methodological toolkit. His research has received substantial funding including: NSF Neuronex Award under the BRAIN Initiative as part of the 'Odor2Action' network NSF IDEASLab funding As a mentor, Dr. Wachowiak has guided numerous students and postdoctoral fellows who have established independent research programs at institutions including Yale University, Rutgers University, University of Florida, and University of Magdeburg. His lab continues to recruit graduate students through the University of Utah's Interdepartmental Program in Neuroscience and welcomes postdoctoral researchers interested in olfactory neuroscience. The Wachowiak Lab maintains state-of-the-art facilities for in vivo imaging, including widefield and high-resolution two-photon microscopy systems, custom olfactometers, and behavioral setups combining odor presentation with locomotion tracking. They actively collaborate with researchers across the US, UK, and Canada through the 'Odor2Action' project, which addresses how high-dimensional sensory variables are represented in brain circuits and mapped to actions.