جست‌وجوی استاد و پژوهشگر

• Visual Cognition
• Brain Imaging
• Object Recognition
• +۶ مورد دیگر

Hans Op de Beeck is a full professor at KU Leuven's Faculty of Psychology and Educational Sciences. He chairs the Brain and Cognition research unit within the Laboratory for Biological Psychology and is a member of the KU Leuven Brain Institute. His work bridges cognitive neuroscience, visual perception, and computational modeling approaches to understand human visual cognition. Professor Op de Beeck's research focuses on visual cognition, particularly object recognition, category selectivity, and the neural organization of the visual system. His work combines multiple methodologies including fMRI, computational modeling, and behavioral experiments to investigate how the brain processes visual information. His research spans basic visual neuroscience to applied domains like aesthetic appreciation and social scene processing. His recent publications demonstrate a strong trend toward integrating computational approaches with human neuroscience. The research spans visual category representation, social cognition, aesthetic processing, and cross-modal plasticity. A notable pattern is the increasing use of artificial neural networks to model and understand human visual processing, as well as the exploration of visual expertise in various domains including Braille reading and chess expertise. Professor Op de Beeck is actively involved in numerous research projects as both promotor and co-promotor, with ongoing work spanning from 2022 to 2030. His laboratory, the Brain and Cognition unit, investigates the fundamental principles of visual processing and their applications in understanding both typical and atypical cognitive functioning.

Basilis Zikopoulosمشاهده پروفایل

استادیار

• Connectomics
• Autism
• Systems Neuroscience
• +۵ مورد دیگر

Basilis Zikopoulos is an Assistant Professor at Boston University and Director of the Human Systems Neuroscience Laboratory ( http://sites.bu.edu/brainlab/ ). His research focuses on structural organization, molecular features, and connectivity of brain circuits in humans and animal models, particularly in the context of neurological disorders like autism, depression, and schizophrenia. Education: BS Biology, University of Crete (1996) MS Biology, University of Crete (1998) PhD Neuroscience, University of Crete (2004) Post-Doctoral Neuroscience, Boston University (2008) Using high-resolution microscopy, imaging, and computational modeling, his work explores the relationship between brain structure and function to identify mechanisms underlying neuropathology. His research integrates bench and clinical neuroscience to train future systems neuroscientists. His publications highlight cortical-thalamic interactions, autism-related pathologies, and computational frameworks for analyzing brain circuits. His lab employs advanced imaging and computational methods to address fundamental questions in neurodevelopmental and neurodegenerative diseases.

Alexander Eckerمشاهده پروفایل

استاد

• Machine Learning
• Computational Neuroscience
• Visual Perception
• +۳ مورد دیگر

Prof. Dr. Alexander Ecker is Professor of Data Science at the Institute of Computer Science, University of Göttingen, and concurrently holds the prestigious Max Planck Fellow position at the Max Planck Institute for Dynamics and Self-Organization. Since 2020 he also serves on the Executive Board of the Campus Institute Data Science in Göttingen. He leads the Neural Data Science research group, comprising 14 PhD students and 2 postdoctoral researchers, focusing on the interface of machine learning and computational neuroscience. His educational background includes a Dr. rer. nat. in Neuroscience (2014) from the Graduate School of Neural and Behavioral Sciences/IMPRS, University of Tübingen, followed by post-doctoral and group-leader positions at the University of Tübingen and the Max Planck Institute for Biological Cybernetics. Research Interests Machine Learning & Deep Learning: developing novel algorithms for representation learning and generative modeling. Computational Neuroscience: large-scale data-driven modeling of visual cortical circuits. Visual Perception: bridging biological vision and computer vision via biologically inspired architectures. His work has produced a steady stream of influential publications (2019-2025) in leading journals such as Nature Communications , Nature , Nature Methods , PLOS Computational Biology , ICLR , NeurIPS , and CVPR . The publications trend toward integrating high-resolution neural recordings with state-of-the-art machine-learning models to uncover principles of sensory processing, neuron-type classification, and behavior. Scientific Awards & Honors Max Planck Fellow, Max Planck Institute for Dynamics and Self-Organization (ongoing) Executive Board Member, Campus Institute Data Science, Göttingen (since 2020) Teaching, Advising & Grants Regularly teaches advanced courses: “Deep Learning for Image Synthesis”, “Current Topics in Deep Learning”, and “Graph Machine Learning”. Supervises 14 current PhD students and 2 postdocs within the Neural Data Science Group. Offers numerous Bachelor’s and Master’s thesis projects, with topics ranging from neuronal morphology clustering to primate vocalization analysis. Leads or co-leads large collaborative consortia with labs in Göttingen, Tübingen, Baylor College of Medicine, and other institutions across the US and Germany. Labs & Teams The Neural Data Science Group operates at the Institute of Computer Science, University of Göttingen, and is tightly integrated with the Max Planck Institute for Dynamics and Self-Organization. The group maintains active collaborations with over a dozen partner laboratories, including groups led by Fabian Sinz, Andreas Tolias, Thomas Euler, Tim Gollisch, and Viola Priesemann, fostering an interdisciplinary environment that spans computer science, physics, biology, and psychology.

Samuel Cookeمشاهده پروفایل

مدرس ارشد

• Neuroscience
• Synaptic Plasticity
• Visual Cortex
• +۵ مورد دیگر

Dr. Samuel Cooke is a Senior Lecturer at Wolfson SPaRC, with expertise in neuroscience, synaptic plasticity, and neural circuit analysis. His research contributes to understanding visual and auditory processing, autism spectrum disorder, and circadian rhythms. Research Interests: Visual cortex and synaptic plasticity GABAergic regulation in neurodevelopmental disorders Circadian responses to light Neural network modeling using optogenetics Projects: Multi-modal dissection of neural circuits (MRC-funded, 2023-2024) Neocortical feedback mechanisms (BBSRC-funded, 2019-2022) EEG biomarkers for intellectual disability (Wellcome Trust, 2018-2021) Network & Collaborations: Active in neuroscience research with affiliations to institutions studying visual recognition memory, hippocampal function, and sensory processing disorders.

Jonaki Senمشاهده پروفایل

استاد

• Vertebrate neuronal development
• Molecular mechanisms of neuron generation
• Neuronal migration
• +۵ مورد دیگر

Dr. Jonaki Sen is a Professor in the Department of Biological Sciences & Bioengineering at the Indian Institute of Technology Kanpur. Her research focuses on understanding the molecular mechanisms of vertebrate neuronal development, including neuron generation, migration, differentiation, and connection formation with appropriate targets. Her research interests include: Vertebrate neuronal development Molecular mechanisms of neuron generation Neuronal migration patterns Neuronal differentiation processes Formation of neural connections Visual system development Cortex development Hippocampus development Dr. Sen's laboratory utilizes developing chick and mouse models to study these processes in the visual system, cortex, and hippocampus. Her work has significantly contributed to understanding the molecular regulation of neural development and patterning across species. She has received the Julius Marmur Research Award for outstanding performance in academic Ph.D. research, awarded by the Sue Golding Graduate Division, Albert Einstein College of Medicine, New York, USA. Her publication record demonstrates expertise across developmental biology, neuroscience, and molecular biology, with particular focus on neural patterning, gene expression regulation in developing neural tissues, and comparative neuroanatomy between avian and mammalian systems.

Anne Churchlandمشاهده پروفایل

استاد

• Decision Making
• Neuroscience
• Multisensory Integration
• +۴ مورد دیگر

Anne Churchland is a Professor of Neurobiology at the University of California, Los Angeles, with a research focus on perceptual decision-making and multisensory integration. Her work bridges experimental neuroscience with computational approaches to understand how the brain processes information and makes decisions. Churchland's research interests span cognitive neuroscience, decision-making processes, neural circuit dynamics, and multisensory integration. Her laboratory employs advanced techniques including large-scale neural recordings, behavioral analysis, and computational modeling to investigate how neural populations encode information and guide decisions. She has made significant contributions to understanding how spontaneous movements influence neural activity and how different brain regions contribute to evidence accumulation during decision tasks. Her recent publications reveal a strong trend toward large-scale, collaborative neuroscience projects, particularly through the International Brain Laboratory. Her work increasingly focuses on developing and applying advanced tools for neural recording and analysis, including chronic Neuropixels probes and motion correction algorithms for extracellular recordings. Churchland's research spans multiple model organisms and integrates behavioral, electrophysiological, and computational approaches to address fundamental questions in systems neuroscience. Scientific Awards Excellence in Postdoc Mentoring Award, UCLA, 2024 James M. and Cathleen D. Stone Faculty Research Award, Cold Spring Harbor Laboratory, 2020 Louise Hanson Marshall Special Recognition Award, Society for Neuroscience, 2017 Janett Rosenberg Trubatch Career Development Award, Society for Neuroscience, 2012 Churchland leads an active research laboratory focused on perceptual decision-making and multisensory integration. She has secured funding from multiple prestigious sources including the National Science Foundation, NIH BRAIN Initiative, and Simons Foundation. Her lab is part of the International Brain Laboratory, a large-scale collaborative effort to standardize and reproduce measurements of decision-making in mice. Churchland has been instrumental in developing new tools and methodologies for chronic neural recordings across multiple brain areas simultaneously. Her laboratory develops and implements cutting-edge techniques for large-scale neural recordings, including chronic Neuropixels probe implants and motion correction algorithms for high-density extracellular recordings. The lab actively participates in collaborative neuroscience initiatives, most notably the International Brain Laboratory, which aims to establish standardized approaches to studying neural circuits underlying decision-making.

S. Lawrence Zipurskyمشاهده پروفایل

استاد

• Neuroscience
• Neural Circuit Assembly
• Synaptic Specificity
• +۴ مورد دیگر

S. Lawrence Zipursky is a Professor in the Department of Biological Chemistry at the David Geffen School of Medicine, University of California, Los Angeles. His research focuses on uncovering the molecular and genetic mechanisms underlying neural circuit assembly and synaptic specificity. He utilizes Drosophila melanogaster and mouse models to explore how cell recognition molecules and neural activity regulate precise neuronal connections during development. Institution: University of California, Los Angeles School: David Geffen School of Medicine Department: Biological Chemistry Research Interests: Zipursky’s work investigates genetically hardwired mechanisms in the fly visual system and experience-dependent wiring in the mouse cortex. His lab employs genetic, genomic, and molecular biology approaches to study synaptic specificity, dendritic patterning, and transcriptional regulation during neurodevelopment. Publications: Recent studies include molecular pathways in synaptic self-avoidance, Dscam/protocadherin interactions in neural circuits, and vision-dependent maturation of cortical neurons. Collaborative projects with Josh Trachtenberg (UCLA) and Karthik Shekhar (UC Berkeley) integrate live imaging, transcriptomics, and genetic tools.

• Neuroscience
• Anesthesiology
• Critical Care
• +۴ مورد دیگر

Joseph Cichon, MD, PhD, serves as Assistant Professor of Anesthesiology and Critical Care at the Perelman School of Medicine, University of Pennsylvania, where he directs the In Vivo Imaging Center for Anesthetics and Psychedelics. His dual clinical expertise in neuroanesthesia and research focuses on neural circuit mechanisms underlying rapid-acting antidepressants. His educational background includes: BS in Pennsylvania State University, 2008 MS in Pennsylvania State University, 2009 PhD in Neuroscience & Physiology, NYU School of Medicine, 2015 MD, NYU School of Medicine, 2017 Dr. Cichon investigates how anesthetics and psychedelics like ketamine and nitrous oxide produce rapid antidepressant effects through modulation of prefrontal cortical circuits. His work combines in vivo imaging , electrophysiology , and rodent behavioral models to decode cellular mechanisms of neural plasticity, with emphasis on SK2 channel function, somatostatin interneuron activity, and dendritic calcium dynamics. This research bridges anesthesiology, psychiatry, and neuroscience to develop novel therapeutics for depression and neuropathic pain. His publication record demonstrates consistent contributions to high-impact journals including Nature Neuroscience and Nature Communications , with recent work revealing nitrous oxide's antidepressant mechanism via prefrontal SK2 channel inhibition (2025) and ketamine's disruption of cortical calcium spikes (2020). Key research themes include neural circuit modulation by rapid-acting agents, sleep-dependent synaptic plasticity, and neuropathic pain mechanisms. No scientific awards are documented in available sources. Dr. Cichon directs the In Vivo Imaging Center for Anesthetics and Psychedelics at Penn, where his team employs advanced GCaMP-based imaging and transgenic models to visualize real-time neural activity during anesthetic and psychedelic interventions. His laboratory focuses on translating circuit-level discoveries into clinical applications for mood disorders.

Grigori Enikolopovمشاهده پروفایل

استاد

• Neural Stem Cells
• Adult Neurogenesis
• Redox Signaling
• +۵ مورد دیگر

Grigori Enikolopov is a Professor in the Department of Anesthesiology at Stony Brook University's Renaissance School of Medicine. He holds a PhD in Molecular Biology from the Institute of Molecular Biology at the Russian Academy of Sciences and an MSc from Moscow State University. His research focuses on adult neural stem cells, hippocampal neurogenesis, redox signaling, and the role of nitric oxide in cilia function and brain physiology. Research interests include: Mechanisms of stem cell maintenance, division, and fate determination in the adult brain Impact of aging, stress, and environmental factors on neurogenesis Redox regulation in neural and non-neural tissues Development of genetic tools for studying cellular signaling His recent publications (2021-2025) demonstrate strong emphasis on: Radiation effects on cognitive flexibility and neurogenesis Advanced cell-tracking methodologies Cilia dysfunction in neurological disorders Behavioral neuroscience and aging Enikolopov leads an active research team including graduate students and postdoctoral researchers. His lab has received funding from NIH, NYSTEM, NASA, and private foundations including the Ellison Foundation and MJ Fox Foundation.

Fabian H. Sinzمشاهده پروفایل

استاد

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

Fabian H. Sinz is a Professor at the University of Tuebingen, leading the Neuronal Intelligence Group . His research focuses on understanding how biological neuronal networks leverage model biases through architecture, nonlinearities, and dynamics to enhance robust inference and accelerate learning. He employs deep learning and system identification techniques on large-scale neurophysiological and anatomical data. His work spans theoretical and applied domains, including system identification , neuroscience , reinforcement learning , and medical AI . Recent studies explore bidirectional coding in visual cortical neurons, contrastive learning for neuroscience time-series, and foundational models predicting neural responses to novel stimuli. Key publications highlight advancements in functional connectomics , invariance manifold learning , and neural likelihood estimation . Collaborations with institutions like the University of Texas and Max Planck Institute underscore his interdisciplinary impact. Tools like LAMINR (Learning and Aligning Manifolds of Single-Neuron Invariances) demonstrate his contributions to open-source neuroscience research.

Paolo Mediniمشاهده پروفایل

دانشیار

• Neuroscience
• Neurophysiology
• Neurobiology
• +۵ مورد دیگر

Paolo Medini is an Associate Professor at Umeå University, affiliated with the Department of Medical and Translational Biology and the Center for Transdisciplinary AI. His research focuses on cortical microcircuits, sensory processing, and brain recovery mechanisms. Neuroscience Neurophysiology Cortical Plasticity Optogenetics His lab investigates how sensory information is processed by distinct cell types in cortical circuits and how these circuits adapt after brain lesions or sensory deprivations. Research spans both adaptive and maladaptive plasticity, aiming to differentiate molecular mechanisms for targeted interventions. Recent publications highlight applications of all-optical interrogation strategies and multisensory integration in the neocortex. Paolo Medini's group employs advanced techniques such as in vivo patch clamp recordings, two-photon calcium imaging, and optogenetics. They use genetically modified strains to study cell-type-specific responses and circuit reorganization post-lesion. Their work is critical for developing therapies in neurodegenerative diseases and cortical repair. Environmental enrichment for brain recovery (Nature Neuroscience) Cortical microcircuit organization (Neuron) Post-stroke plasticity (Journal of Physiology)

• Spatial Navigation
• Memory
• Neural Circuits
• +۷ مورد دیگر

Dr. Yi Gu serves as an Investigator leading the Spatial Navigation and Memory Unit within the Division of Intramural Research at the National Institute of Neurological Disorders and Stroke (NINDS), part of the National Institutes of Health. She received her B.S. and M.S. degrees from Tsinghua University and completed her Ph.D. at Johns Hopkins University under Dr. Richard Huganir, focusing on neurotransmitter receptor trafficking. Dr. Gu conducted postdoctoral research with Dr. David Tank at Princeton University, investigating medial entorhinal cortex function during spatial navigation using in vivo imaging and virtual reality paradigms. Her research program centers on understanding the neural basis of spatial navigation and memory, with particular emphasis on the medial entorhinal cortex (MEC). The lab employs advanced in vivo optical approaches combined with virtual reality behavioral paradigms in mouse models to investigate how spatial information is represented, computed, and stored in neural circuits. Key research areas include: MEC circuit mechanisms for spatial representation Encoding of spatial memory in the MEC MEC interactions with other brain regions MEC dysfunction in Alzheimer's Disease Recent publications demonstrate the lab's leadership in uncovering how the entorhinal spatial map integrates visual landmarks, how multisensory information is processed in the MEC, and how consistent spatial maps support memory formation. The lab's work bridges molecular, cellular, and systems neuroscience to address fundamental questions about spatial cognition and its impairment in neurological disorders. Dr. Gu maintains active collaborations with researchers at MIT, Washington University School of Medicine, and Academia Sinica in Taiwan. Her lab currently includes multiple postdoctoral fellows, postbaccalaureate researchers, and international collaborators working at the intersection of neuroscience, engineering, and computational modeling.

Niccolò Bonacchiمشاهده پروفایل

استادیار

• Cognitive Neuroscience
• Behavioral Neuroscience
• Neurobiology
• +۵ مورد دیگر

Niccolò Bonacchi is an Assistant Professor at ISPA - Instituto Universitário, where he teaches graduate-level courses in experimental programming and neurobiology. He is an Integrated Member of the Social Cognitive and Applied Neuroscience Team and maintains strong connections with the Champalimaud Neuroscience Programme in Lisbon. Education: Ph.D. in Neuroscience from the Nova University of Lisbon (UNL) M.Sc. in Psychobiology from the Higher Institute of Applied Psychology (ISPA) Bonacchi's research focuses on bridging mechanistic explanations of brain processes with emergent cognitive constructs. His doctoral work at the Champalimaud Center for the Unknown examined how brains represent spatial objectives, olfactory cues, and anticipated results. He has concentrated on developing precise approaches to behavioral quantification and data analysis, believing these are critical for contextualizing experimental measurements. His expertise spans cognitive neuroscience, behavioral neuroscience, neurobiology, electrophysiology, and Python programming, with a strong commitment to open science practices. His publication record demonstrates significant contributions to collaborative neuroscience initiatives. He developed the Bonsai-RX programming language now used worldwide, served as Data Architect for the International Brain Laboratory, and currently contributes to the COGITATE consortium researching consciousness. His work emphasizes standardized protocols, data architecture, and FAIR data-sharing practices to improve reproducibility across neuroscience laboratories. Bonacchi actively participates in major international collaborations and maintains profiles across scientific platforms including ResearchGate, Google Scholar, ORCID, and Twitter (@nbonacchi). His personal website (https://bonacchilab.github.io/) showcases his ongoing work in experimental programming and neurobiology.

Alessandro Liviمشاهده پروفایل

مدرس

• Neuroscience
• Decision Making
• Brain Imaging
• +۴ مورد دیگر

Alessandro Livi, PhD is an Instructor in Neuroscience at Washington University in St. Louis School of Medicine, affiliated with the Padoa-Schioppa Lab. His research focuses on neural mechanisms underlying economic decision making, particularly studying the lateral orbital area in the mouse brain using 2-photon calcium imaging and GRIN lens technology. Dr. Livi's educational background includes: PhD in Neuroscience from the University of Parma (Italy), 2019 MS in Neuroscience from the University of Bologna (Italy), 2014 BS in Psychology from the University of Urbino (Italy), 2012 His research spans multiple domains of neuroscience with particular emphasis on decision making processes, neural representation of economic values, and action cost processing. Dr. Livi employs advanced techniques including 2-photon calcium imaging, electrophysiology, and behavioral neuroscience approaches to investigate how neural circuits represent value and guide economic choices. His work bridges cognitive neuroscience with economic theory, examining neural computations of subjective values during choice processes. Analysis of Dr. Livi's publication record reveals a strong focus on neural mechanisms of decision making, particularly in the orbitofrontal cortex, with significant contributions to understanding mirror neuron systems and action observation networks. His research spans both primate and rodent models, investigating how the brain represents decision variables, action costs, and economic values through advanced neural recording techniques. Dr. Livi has established a robust research profile with 29 publications and over 700 citations according to ResearchGate. His technical expertise includes: 2-photon calcium imaging Electrophysiology Neural data analysis Behavioral neuroscience paradigms Computational modeling of neural data

• Mind-body interactions
• Mental health
• Autonomic nervous system
• +۷ مورد دیگر

Dr. Doran Amos is a teaching-focused Lecturer in Neuroscience within the School of Life Sciences at the University of Sussex, a position held since August 2022. They convene the Neuroscience with Psychology degree course and teach across undergraduate and postgraduate programs in neuroscience education. Dr. Amos's research interests center around two main areas: mind-body interactions in relation to stress and mental health, and neuronal information coding for navigation and spatial cognition. Within these domains, they explore autonomic nervous system activity (particularly heart rate variability), mindfulness practices, psychedelic therapeutics, hippocampal function, and neural oscillations. As a teaching-focused academic, Dr. Amos supervises literature and outreach projects for final-year undergraduate, Master's, and medical students, but does not run laboratory-based research or supervise PhD students. Their recent publications demonstrate an interdisciplinary approach connecting neuroscience with education, mental health, and navigation research. Dr. Amos has received significant attention for their publications, with notable citation metrics including 137 total citations for their 2015 Current Biology paper on goal direction signals in the entorhinal region. Teaches courses including Research and Professional Skills I & II, and Molecular Neuropharmacology Supervises student projects on mind-body interactions and neural coding Focuses on contemplative pedagogy in neuroscience education Has published across multiple neuroscience domains including navigation, memory, and mental health Dr. Amos earned their PhD in Neuroscience from University College London (2006-2011) following a BSc in Biochemistry from Imperial College London, and has held research positions at University College London, Otto-von-Guericke University Magdeburg, and the University of Sussex prior to their current lecturing role.