جست‌وجوی استاد و پژوهشگر

Russell Epsteinمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Behavioral Neuroscience
• Spatial Navigation
• +۴ مورد دیگر

Russell Epstein is a Professor and Director of Graduate Studies in the Department of Psychology at the University of Pennsylvania. He is affiliated with the Center for Cognitive Neuroscience and Goddard Labs. His research focuses on neural mechanisms underlying visual scene perception, spatial navigation, and memory. Epstein holds a BA in Physics from the University of Chicago and a PhD in Applied Mathematics from Harvard University. Epstein’s research interests include high-level vision, spatial cognition, and the neural basis of environmental representations. His lab uses functional MRI and cognitive neuroscience techniques to study how scenes, objects, landmarks, and spaces are encoded in brain systems such as the parahippocampal place area and retrosplenial cortex. Recent work explores cognitive maps, grid-like neural representations, and the role of multisensory cues in navigation. His articles emphasize spatial navigation strategies, hierarchical cognitive maps, and the interplay between perception and memory. Notable contributions include investigations into hippocampal spatial metrics, olfactory navigation, and the neural underpinnings of environmental learning. Epstein teaches courses on cognitive neuroscience, including PSYC 149 and PSYC 600. He advises two graduate students in Psychology and has no listed scientific awards. His work is supported by grants (unspecified) and conducted within collaborative teams at the Center for Cognitive Neuroscience. Epstein’s research extends to labs focused on spatial cognition and neuroimaging, advancing understanding of how humans mentally map environments through visual and sensory integration.

Mayank R. Mehtaمشاهده پروفایل

استاد

• Neurophysics
• Synaptic Plasticity
• Learning and Memory
• +۳ مورد دیگر

Mayank R. Mehta is a Professor at the University of California, Los Angeles (UCLA), holding joint appointments in the Departments of Physics & Astronomy, Neurology, and Neurobiology. He is a member of the Brain Research Institute and the W. M. Keck Center for Neurophysics at UCLA. His research bridges experimental and theoretical neuroscience, focusing on how neuronal networks encode space-time, the role of brain rhythms in learning and memory, and the impact of sleep and virtual reality on neural dynamics. His recent publications highlight breakthroughs in understanding hippocampal spatiotemporal selectivity, dendritic activity during behavior, and the causal influence of visual cues on memory neurons. Notable findings include the discovery that dendrites generate ten times more spikes than neuronal cell bodies and the modulation of hippocampal theta rhythms in virtual reality. Research Themes: Neurophysics of spatial-temporal coding Dendritic contributions to learning Virtual reality and brain plasticity Neural oscillations in memory consolidation Key Collaborators: Bert Sakmann (Max Planck Florida Institute) Thomas Hahn (Bernstein Center Heidelberg/Mannheim) Maryam Ghorbani (UCLA) Mehta's lab at UCLA trains graduate and postdoctoral researchers in cutting-edge techniques combining hardware development, electrophysiological recordings, and biophysical modeling. His work has significant implications for treating learning and memory disorders like Alzheimer's disease.

Brice Kuhlمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Memory
• Cognitive Control
• +۳ مورد دیگر

Brice Kuhl is a Professor in the Department of Psychology at the University of Oregon , where he leads the Kuhl Lab. His research focuses on the cognitive neuroscience of memory formation, retrieval, and forgetting , utilizing advanced neuroimaging techniques like fMRI and EEG combined with machine learning algorithms to analyze distributed neural activity patterns. His work explores mechanisms of memory interference resolution , forgetting , and neural representation transformation . Recent publications emphasize spaced learning , temporal memory dynamics , and memory-cognitive control interactions . The lab has received attention for decoding perceptual content from neural activity and reconstructing face images based on brain states. Current lab members include graduate students Anisha Babu , Tongle Cai , and America Romero , alongside postdocs like Soroush Mirjalili and Yoonjung Lee . The lab frequently presents at conferences like CNS and SFN , and maintains active collaborations in memory research and neuroimaging methodology . Notable projects include investigations into hippocampal pattern differentiation and parietal cortex roles in memory . The lab also contributes to open science initiatives with publicly available experimental codes and data .

• Neuroscience
• Neurodegenerative Diseases
• Alzheimer's Disease
• +۳ مورد دیگر

Hideyuki Takahashi is an Associate Research Scientist in the Department of Neuroscience at Yale University School of Medicine. He holds a PhD from Waseda University (2005) and has established himself as a prominent researcher in neurodegenerative diseases, particularly focusing on lysosomal biology and protein aggregation mechanisms. Dr. Takahashi's research primarily investigates the role of progranulin, TMEM106B, and other molecular players in neurodegenerative conditions including Alzheimer's disease, frontotemporal dementia, and tauopathies. His work spans multiple approaches from molecular and cellular neuroscience to animal models of disease. His recent publications demonstrate a strong focus on lysosomal dysfunction in neurodegeneration, with particular attention to how TMEM106B interacts with other proteins to influence disease progression. The research trends show increasing emphasis on therapeutic interventions targeting specific molecular pathways involved in protein aggregation and synaptic loss. ORCID: 0009-0004-4969-977X Dr. Takahashi maintains active collaborations with several leading researchers at Yale, most notably with Stephen Strittmatter (with whom he has 16 common publications), as well as Anita Huttner, Anthony Koleske, and Le Zhang. His research program appears well-integrated within Yale's neuroscience community, contributing significantly to our understanding of neurodegenerative disease mechanisms.

Christian F. Doellerمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Memory Psychology
• Spatial Navigation
• +۶ مورد دیگر

Professor Christian F. Doeller is a leading cognitive neuroscientist serving as Director of the Department of Psychology at the Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS) in Leipzig and Vice President of the Max Planck Society (since 2023). His roles include honorary professorships at the University of Leipzig (2019) and TU Dresden (Cognitive Neuroscience of Learning and Memory). He holds a PhD in Psychology from Saarland University (2005) and has held positions at institutions such as UCL (London), Radboud University (Nijmegen), and NTNU (Trondheim). His research focuses on spatial navigation, memory systems, and cognitive mapping in the human brain, leveraging neuroimaging (fMRI, EEG) and computational modeling. Key areas include hippocampal/entorhinal cortical function, grid cells, and the neural basis of spatial and conceptual representations. Recent work explores non-Euclidean spatial cognition, value-based decision making using grid-like maps, and hormonal influences on navigation. His lab combines experimental psychology, neuroimaging, and theoretical neuroscience to understand how brains build predictive models of environments and concepts. Publications emphasize cognitive maps, neural representations of space/value, and memory formation mechanisms. Over 100 journal articles span high-impact journals like Nature Neuroscience , Neuron , and Current Biology . His work bridges basic research and translational applications in neurodegenerative disorders and spatial cognition deficits.

Michelle CD Bridiمشاهده پروفایل

استادیار

• Neuroscience
• Synaptic Plasticity
• Sleep Research
• +۷ مورد دیگر

Michelle CD Bridi is an Assistant Professor in the Department of Neuroscience at West Virginia University School of Medicine , with a joint affiliation at the Rockefeller Neuroscience Institute . Her research integrates synaptic plasticity , sleep physiology , and neurological conditions to investigate dynamic synaptic regulation under typical and atypical states. Education: BS , McGill University, 2006 PhD , University of Pennsylvania, 2013 Research Focus: The Bridi Lab explores how daily oscillations in excitation/inhibition (E/I) balance are disrupted in Autism Spectrum Disorder (ASD) , aging , and post-stroke states . Current projects address: 1) synaptic adaptation to sleep/wake cycles, 2) E/I imbalance in neurodevelopmental disorders, and 3) molecular mechanisms maintaining neuronal firing rate homeostasis. Publication Trends: Recent work spans REM sleep plasticity , autism models , and neurodegenerative interventions , emphasizing synaptic oscillations , NMDA receptor pathways , and gene therapy applications. Collaborative efforts with Morgan Bridi's lab extend findings to stress and stroke contexts. Grants & Collaborations: Research is funded by NIH/NIGMS , BBRF , and NSF . The lab actively collaborates with cross-institutional teams and is recruiting postdocs and students for ongoing studies.

Andreas Herzمشاهده پروفایل

استاد

• Computational Neuroscience
• Neural Coding
• Spatial Navigation
• +۳ مورد دیگر

Prof. Dr. Andreas Herz is a Chair in Computational Neuroscience at the Faculty of Biology, Ludwig-Maximilians-Universität München (LMU). His research focuses on understanding neural mechanisms underlying spatial navigation, temporal cognition, and sensory processing. He leads the Computational Neuroscience group and collaborates with the Bernstein Center for Computational Neuroscience Munich. Research Interests: Dr. Herz investigates how neural systems encode spatial and temporal information, including grid cells, head-direction systems, and neural coding strategies. His work bridges experimental neurophysiology with theoretical modeling, addressing topics like cognitive maps, neural variability, and synaptic plasticity. Teaching & Mentorship: He oversees advanced courses on computational neuroscience and neurophysiology, fostering interdisciplinary training for graduate students. His research group includes prominent collaborators like Dr. Martin Stemmler and PD Dr. Kay Thurley, focusing on projects involving neural network dynamics and behavioral neuroscience. Publications & Impact: Over 85 peer-reviewed articles highlight his contributions to understanding entorhinal-hippocampal circuits, dendritic processing, and neural representation of space/time. Key work includes studies on grid cell variability, zebrafish spatial memory, and cytoskeletal organization in dendritic spines.

Stefan Leutgebمشاهده پروفایل

استاد

• Neurobiology
• Memory Storage
• Neuronal Mechanisms
• +۵ مورد دیگر

Stefan Leutgeb is a Professor in the Department of Neurobiology at the University of California San Diego (UCSD), affiliated with the School of Biological Sciences. His research focuses on the neural mechanisms underlying long-term memory storage, particularly the role of coordinated neuronal activity and synaptic plasticity in hippocampal and cortical networks. His work investigates how spatial and nonspatial information is encoded, how memory systems degrade in aging and neurodegenerative disorders like dementia, and the translational implications of these findings. Key research areas include hippocampal ensemble dynamics, temporal organization of neuronal activity, and the impact of Alzheimer’s-related proteins (e.g., APP) on neural networks. Leutgeb employs multi-electrode recordings, optogenetics, and computational modeling to study these processes. His lab has discovered critical mechanisms such as pattern separation in the dentate gyrus and the role of theta oscillations in memory encoding. Notable recent contributions include studies on how hippocampal network dysfunction due to APP expression disrupts spike timing ( 2022 ), theta oscillation roles in memory phases ( 2021 ), and the necessity of dentate gyrus activity for spatial working memory ( 2018 ). Despite no explicitly listed awards, his prolific publication record reflects significant contributions to systems neuroscience. Leutgeb’s research also explores cognitive aging and cross-species comparisons of neural processes. His lab emphasizes translational research, aiming to bridge basic neuroscience discoveries with clinical applications for neurodegenerative diseases. Current projects include investigating hippocampal ensemble dynamics during memory retention and developing biomarkers for cognitive flexibility.

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.

Eilis Hannonمشاهده پروفایل

دانشیار

• Genetics
• Bioinformatics and computational biology
• Epidemiology
• +۹ مورد دیگر

Eilis Hannon is an Associate Professor in Bioinformatics at the University of Exeter Medical School and leads the Complex Disease Epigenetics Group. She holds a prestigious 5-year EPSRC Research Software Engineering Fellowship and serves as Assistant Director for Education in the Institute of Data Science and Artificial Intelligence, driving initiatives in reproducible research and data science education. Education: BSc in Mathematics, Cardiff University (2010) PhD in Bioinformatics, Cardiff University Centre for Psychological Medicine and Clinical Neurosciences (2014) Her research integrates statistical genetics, epigenomics, and bioinformatics to investigate molecular mechanisms in schizophrenia, bipolar disorder, and neurodegenerative diseases. She develops novel computational methods for analyzing DNA methylation dynamics across the lifespan and cell-type-specific epigenetic changes in brain disorders, with strong emphasis on open science and reproducible research practices. Recent publications demonstrate her leadership in multi-omics integration, particularly in cell-type-specific epigenetic epidemiology, biomarker development for neurological conditions, and methodological advances in long-read sequencing. Her work spans psychiatric disorders, Alzheimer's disease, and ALS, consistently linking genetic risk variants to functional epigenetic consequences through innovative analytical frameworks. Scientific Awards: EPSRC Research Software Engineering Fellowship NARSAD Young Investigator Award Alan Turing Pilot Project award Alzheimer's Society PhD studentship Software Sustainability Institute fellowship Alan Turing Institute Skills Policy Award As an educator, she directs the Coding for Reproducible Research training programme and mentors over 20 PhD students. She has secured substantial funding from MRC, NIA, ARUK, and the Brain and Behaviour Research Foundation, serving as PI on the EPSRC Fellowship and co-applicant on multiple international grants. Her leadership extends to the MRC GW4 Biomed DTP and the MSc module Statistics for Health and Life Sciences. She co-leads the Exeter Brain Health Analytics network within the NIHR Exeter Biomedical Research Centre and the Institute for Data Science and Artificial Intelligence, fostering cross-disciplinary collaborations in neurogenetics and computational biology.

Christian Leiboldمشاهده پروفایل

استاد

• Neuroscience
• Neural Network Modelling
• Hippocampal Formation
• +۳ مورد دیگر

Prof. Dr. Christian Leibold is a former faculty member of the Faculty of Biology at Ludwig-Maximilians-Universität München (LMU). His research focuses on theoretical and experimental neuroscience, particularly the hippocampal formation's role in spatial navigation and temporal coding. He investigated topics such as auditory processing, phase precession in hippocampal neurons, and the interaction between brain regions like the medial entorhinal cortex and hippocampus. Research Interests: Modeling hippocampal sequences and spatial navigation Temporal processing in auditory brainstem circuits Neuronal mechanisms of grid cells and place fields Data analysis of hippocampal activity patterns Collaborations: University of California San Diego (UCSD) Charité – Universitätsmedizin Berlin Bernstein Center for Computational Neuroscience (BCCN) Munich His work combines computational modeling with experimental approaches, addressing how neural circuits process spatial and temporal information. He contributed to understanding axonal myelination dynamics and the role of medial superior olive neurons in auditory localization.

Juan Marcos Alarcónمشاهده پروفایل

دانشیار

• Neurobiology
• Neurodevelopment
• Synaptic Plasticity
• +۳ مورد دیگر

Juan Marcos Alarcón, PhD, is an Associate Professor and Principal Investigator in the Department of Pathology at SUNY Downstate Health Sciences University. His laboratory investigates how experiences shape brain function in neurotypical rodents and models of brain disease, with a focus on neurodevelopmental mechanisms linked to autism spectrum disorders. Dr. Alarcón earned his PhD in Biomedical Sciences from the University of Chile, followed by postdoctoral training in neurobiology under Dr. Eric Kandel at Columbia University. Research interests include synaptic plasticity, neuronal ensemble organization, and gene expression regulation in the context of memory formation. His team uses multidisciplinary approaches, combining electrophysiology, RNAseq, and behavioral analysis to study neurological disorders. Notably, he co-leads the REACH summer program, which provides research training for underrepresented minorities in neuroscience. Key grants include an NINDS-funded R25 grant (2021–2025) supporting minority student engagement in autism research. The lab's website ( alarconlab.com ) details ongoing projects and collaborations.

Paul Carneyمشاهده پروفایل

استاد

• Epilepsy
• Pediatric Neurology
• Neuroengineering
• +۵ مورد دیگر

Dr. Paul Carney is a Professor of Pediatrics and Neurology at the University of Missouri School of Medicine, serving as Director of the Comprehensive Pediatric Epilepsy Program and Chief of the Pediatric Neurology Division. His work uniquely integrates engineering, neuroscience, and clinical medicine to develop innovative therapies for neurological disorders, with a primary focus on epilepsy affecting over 60 million people globally. His educational background includes a Medical Degree from Universidad de Valparaiso, residency in Pediatric Neurology at Case Western Reserve University School of Medicine, and dual fellowships in Clinical Neurophysiology and Pediatric Neurology at the University of Michigan Medical School. Dr. Carney's research centers on seizure detection and prediction using nonlinear dynamical system theory, functional and structural organization of brain circuitry, control of brain hyperexcitability, and sleep disorders. He is a leading expert in epilepsy surgery/neuromodulation and neurogenetics, driving the translation of novel research into cutting-edge patient care for children with neurological conditions. His recent publications demonstrate a strong interdisciplinary approach spanning epilepsy treatment in genetic models, global health initiatives for childhood epilepsy in resource-limited settings, gene therapy for seizure control, advanced neuroimaging techniques for brain tumors, and connectivity studies in temporal lobe epilepsy. Dr. Carney has received extensive recognition for his contributions: Fellow (elected), American Epilepsy Society (2019) Charter member, NIH Acute Neural Injury and Epilepsy Study Section (2017-2021) National Professional Advisory Board Member, Epilepsy Foundation of America (2014-2021) Castle Connolly Top Doctors in America (2008-2017) B.J. and Eve Wilder Endowed Professor in Epilepsy Research (2007-2016) American Pediatric Society ‘Most Outstanding’ New Member Award (2011) American Neurological Association Fellow (2010) Faculty Research Prize in Clinical Science, University of Florida (2009) As Division Chief and Program Director, Dr. Carney mentors medical students, residents, and fellows in pediatric neurology while leading significant NIH-funded research initiatives. His work bridges clinical practice with engineering innovation to address critical gaps in neurological care. He directs the Comprehensive Pediatric Epilepsy Program, a multidisciplinary hub providing advanced care in epilepsy, stroke, sleep disorders, and neuromuscular conditions. His team focuses on translating research findings into clinical applications while expanding services to improve outcomes for children and families across Missouri.

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

Alessandro Giuliano Treves is a full-time Professor at the Institute of Psychosocial Health , University of Agder. His research focuses on computational neuroscience, hippocampal function, and neural network modeling, particularly in spatial memory, grid cells, and cognitive dynamics. Key contributions include theories on attractor networks, latching dynamics, and hippocampal remapping. Recent work explores variability in quasi-attractor systems and prefrontal schemata in thought composition. His publications span high-impact journals like Nature , Science , and PNAS , often collaborating with neuroscientists such as May-Britt and Edvard Moser.

Nicole Gervaisمشاهده پروفایل

استادیار

• Behavioural Neuroscience
• Cognitive Neuroscience
• Sleep-Wake Patterns
• +۵ مورد دیگر

Nicole Gervais, PhD is an Assistant Professor and Rosalind Franklin Fellow in behavioural and cognitive neuroscience at the University of Groningen's Faculty of Science and Engineering. She is affiliated with the Groningen Institute for Evolutionary Life Sciences (GELIFES) and the Faculty of Medical Sciences/UMCG's Cognition, Ageing and Disease (CAD) research group. Dr. Gervais leads the Memory, Sleep, and Hormones (MeSH) lab, which focuses on translational research examining how sex differences and hormonal changes affect brain health. Dr. Gervais earned her PhD in Psychology/Behavioural Neuroscience from Concordia University in Montréal, Québec. She completed postdoctoral training at institutions in Amherst, Massachusetts, USA and Toronto, Canada. Before joining the University of Groningen in September 2023, she held a Research Associate position at the Rotman Research Institute and University of Western Ontario in London, Canada. Her research program explores diversity in vulnerability to neuropsychiatric conditions and responses to therapeutics, with particular focus on how individual factors (especially sex) and environmental conditions contribute to neuropsychiatric disease and treatment effectiveness. She investigates sleep-wake patterns, social interactions, and cognition across species to understand how hormonal transitions like menopause affect brain health. Her work has significant implications for understanding why certain neurological and psychiatric conditions disproportionately affect women. Dr. Gervais's publications reveal a strong focus on the intersection of sex differences, sleep physiology, and cognitive function. Her recent work examines how early ovarian removal affects hippocampal function, memory, and sleep architecture. She employs both human studies and rodent models to investigate these questions, using techniques including neuroimaging (MRI), sleep physiology measurements, behavioral assessments, hormone quantification, and pharmacological manipulations. Rosalind Franklin Fellowship Dr. Gervais serves as an editor for special issues of the journal Hormones and Behavior. Her research has received significant attention, with multiple publications covered in international media outlets. Her work contributes to the United Nations Sustainable Development Goals, particularly those related to good health and well-being. She has published over 27 research outputs including articles, preprints, editorials, and review articles, with many receiving substantial citations and media coverage. Dr. Gervais directs the Memory, Sleep, and Hormones (MeSH) lab, which takes a translational approach to studying how major hormone changes interact with genes to increase vulnerability for developing insomnia and its adverse consequences for the aging female brain. The lab uses complementary research in rodents and humans, employing touchscreen tasks with high translational value to assess cognitive function in rodents and EEG recordings to assess sleep. Their research has important implications for understanding and treating conditions that disproportionately affect women, such as insomnia and Alzheimer's disease.