Find Academic Supervisors

• Neuroscience
• Cognitive Science
• Hippocampal Physiology
• +4 more

Xiaojing Chen is an Assistant Professor in the Department of Neuroscience at the School of Life Sciences, Southern University of Science and Technology (SUSTech), where she has worked since 2020. She received her BSc from Shandong University (2001-2005) and PhD at the Institute of Neuroscience, Chinese Academy of Sciences (2007-2014). From 2014 to 2019, she conducted postdoctoral research on episodic memory and spatial navigation at Johns Hopkins University under Professor James Knierim. Educational Background BSc in Science, Shandong University (2001-2005) PhD in Neuroscience, Chinese Academy of Sciences (2007-2014) Research Interests Dr. Chen investigates the physiological and pathological mechanisms of learning and memory, focusing on the hippocampus and related brain regions. Her lab explores how spatial navigation circuits develop under experiential influences and how these circuits change in pathological conditions. Key sub-areas include hippocampal circuit development, cognitive mapping, memory disorders, and spatial navigation dynamics. Laboratory Information The Chen Lab at SUSTech offers positions for postdocs, research assistants, and graduate students across interdisciplinary fields including biology, neuroscience, bioinformatics, and engineering. Interested candidates can contact Dr. Chen at chenxj@sustech.edu.cn.

Lok-Kin YeungView profile

Lecturer

• Cognitive Neuroscience
• Alzheimer's Disease
• Memory Processes
• +5 more

Lok-Kin Yeung is a Lecturer in the Department of Psychology at Hamilton College. His research focuses on the cognitive neuroscience of the anterolateral entorhinal cortex , a brain region critically affected by Alzheimer's pathology, investigating its roles in memory and perceptual processes as potential cognitive markers for dementia prediction . PhD in Psychology from University of Toronto MA in Psychology from University of Toronto BSc in Biomedical Engineering from Columbia University Research areas include Alzheimer's disease , memory mechanisms , neuroimaging , and nutritional interventions . Recent work demonstrates how dietary flavanols can improve hippocampal-dependent memory in aging populations, with publications in Nature Neuroscience , PNAS , and Neurobiology of Aging . His studies employ clinical trials , structural MRI , and cognitive assessments to explore early Alzheimer's indicators and memory decline prevention. Contact: lyeung@hamilton.edu

Dani BassettView profile

Professor

• Neuroscience
• Cognitive Neuroscience
• Network Science
• +7 more

Dani Bassett is the J. Peter Skirkanich Professor at the University of Pennsylvania , with appointments across five departments: Bioengineering, Electrical & Systems Engineering, Physics & Astronomy, Neurology, and Psychiatry . They also serve as an external professor at the Santa Fe Institute , integrating principles of network science and systems engineering to decode cognitive mechanisms and neurological diseases. B.S. in Physics from Penn State University Ph.D. in Physics from University of Cambridge (Churchill Scholar, NIH Health Sciences Scholar) Postdoctoral research at UC Santa Barbara Junior Research Fellow at Sage Center for the Study of the Mind Their research spans brain connectivity , neural dynamics , and network theory applications to psychiatric and neurodegenerative disorders. Recent work explores sex differences in functional networks , white matter development , and mechanisms of consciousness . Their lab employs machine learning frameworks to analyze chaotic systems and optimize brain-computer interfaces. Publications focus on network control theory , neuroimaging , and complex systems , with contributions to Alzheimer's pathology and mental health dynamics . Over 400 peer-reviewed articles demonstrate their interdisciplinary impact. American Psychological Association Rising Star (2012) MacArthur Fellow (2014) National Science Foundation CAREER (2016) Lagrange Prize in Complex Systems Science (2017) Web of Science Highly Cited Researcher (3 years) Their work receives funding from the National Institutes of Health , Department of Defense , and MacArthur Foundation . Bassett co-authored Curious Minds: The Power of Connection (MIT Press) with philosopher Perry Zurn.

• Translational Neuroscience of Ageing
• Alzheimer's Disease
• Cognitive Neuroscience of Learning and Memory
• +6 more

Christian Doeller is a Professor of Medicine (Neuroscience) at the Norwegian University of Science and Technology (NTNU), leading research at the Kavli Institute for Systems Neuroscience . He also serves as Managing Director of the Max Planck Institute for Human Cognitive and Brain Sciences and Professor of Psychology (Learning and Memory) at Leipzig University , Germany. Specializes in translational neuroscience of ageing and Alzheimer's disease Focuses on cognitive neuroscience of learning and memory Key projects: Jebsen Centre for Alzheimer's Disease, Helse Midt-Norge, and ERC-CoG project GEOCOG His recent research explores hippocampal-entorhinal cognitive maps, spatial navigation, and memory reconfiguration across abstract and Euclidean spaces. Collaborations span NTNU, Max Planck Institute, and Leipzig University. Notable article trends include human cognitive neuroscience applications, neuroimaging techniques (DTI-fMRI, eye tracking), and neural coding in memory systems. Themes like stress effects on memory and cortical motor system interactions with cognitive maps are recurrent. Christian Doeller's team investigates brain mapping and neurodegenerative diseases, leveraging advanced neuroimaging and computational models. His work bridges basic neuroscience with clinical applications in Alzheimer's research.

Thomas T. G. HahnView profile

Researcher

• Neuroscience
• Neurophysiology
• Cognitive Neuroscience
• +1 more

Dr. Thomas T. G. Hahn is a researcher at the Central Institute of Mental Health Mannheim (ZI), affiliated with the Department of Theoretical Neuroscience. His work focuses on cortico-hippocampal interactions and neural dynamics in vivo. Current faculty at Central Institute of Mental Health Mannheim Specializes in Theoretical Neuroscience Research interests include neural circuit dynamics , functional connectivity , and computational modeling of cortical-hippocampal systems, particularly examining spontaneous persistent activity and UP-DOWN state transitions in vivo. His publications since 2006 demonstrate expertise in applying advanced statistical models like hidden Markov analysis to neurophysiological data, with a focus on cortico-entorhinal and corticocortical network dynamics. Key methodologies: In vivo electrophysiology Core research areas: Neural network interactions, cortical plasticity

Christine DeLorenzoView profile

Associate Professor

• Biomarkers of Major Depressive Disorder
• Antidepressant Treatment Response Prediction
• Multimodal Brain Imaging
• +3 more

Christine DeLorenzo serves as Associate Professor of Psychiatry and Biomedical Engineering at Stony Brook University's Renaissance School of Medicine, where she directs neuroimaging research focused on biomarker discovery for Major Depressive Disorder. Her work bridges clinical psychiatry and engineering through multimodal brain imaging techniques and novel PET radioligand development. Her academic training includes: BA in Engineering Sciences from Dartmouth College (1999) MS in Engineering from Thayer School of Engineering, Dartmouth College (2002) PhD in Biomedical Engineering from Yale University (2007) Research Fellowship in Neuroscience at Columbia University (2011) Dr. DeLorenzo's research centers on predicting antidepressant treatment response through multimodal neuroimaging biomarkers , with particular expertise in PET radioligand development and glymphatic system assessment. Her laboratory investigates how obesity, sleep disturbances, and childhood trauma modulate brain structure and function in depression, utilizing advanced techniques like dynamic 18F-FDG PET for cerebrospinal fluid clearance quantification. Recent work explores neuroinflammatory mechanisms in post-COVID neurological sequelae using [18F]-FEPPA imaging. Analysis of her 150+ publications reveals three dominant trajectories: 1) Technical innovation in PET quantification and image reconstruction, 2) Depression biomarker validation across structural, metabolic and neurotransmitter systems, and 3) Expansion into age-related neurodegeneration and post-viral neuroinflammation. Her work increasingly integrates machine learning for low-count PET recovery and treatment prediction. As Principal Investigator, Dr. DeLorenzo leads two major NIH-funded projects: Uncovering Biomarkers of Major Depressive Disorders Using Multimodal Imaging and Characterization of a New Metabotropic Glutamate Receptor Subtype 5 PET Ligand . These initiatives support her laboratory's development of quantitative imaging protocols for clinical translation. Her neuroimaging laboratory operates within Stony Brook's PET Center, utilizing simultaneous PET/MRI systems and advanced computational pipelines for kinetic modeling. The team collaborates with biomedical engineers on AI-driven image reconstruction and with psychiatrists on clinical validation of imaging biomarkers, maintaining active partnerships with Columbia University and Yale.

• Spatial Navigation
• Memory
• Neural Circuits
• +7 more

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.

• Mind-body interactions
• Mental health
• Autonomic nervous system
• +7 more

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.

• Neuroscience
• Neurotoxicology
• Physiology
• +8 more

A.J. Robison is a Professor in the Department of Physiology and Neuroscience Program at Michigan State University. Their research focuses on understanding the molecular and physiological mechanisms underlying drug addiction and mood disorders, particularly through hippocampal gene expression and epigenetic regulation. Education: B.S. in Biology from Rhodes College (1999), Ph.D. in Molecular Physiology and Biophysics from Vanderbilt University (2005) Research Areas: Drug addiction, chronic stress responses, epigenetics, synaptic physiology, hippocampal function, and neurotoxicology Techniques: Transgenic mouse models, viral gene transfer, electrophysiology, confocal microscopy, proteomics, and next-generation sequencing Collaborations: Human post-mortem brain sample analysis with external labs

• Neuronal Network Physiology
• Alzheimer's Disease Pathophysiology
• Memory Consolidation
• +5 more

Prof. Dr. Dietmar Schmitz serves as Group Leader and Site Speaker at the German Center for Neurodegenerative Diseases (DZNE) in Berlin, affiliated with Charité - Universitätsmedizin Berlin. His research focuses on neuronal network mechanisms in memory consolidation and neurodegenerative diseases, with particular emphasis on Alzheimer's pathology. His primary research interests center on systems-level memory consolidation , specifically trace-transfer processes between hippocampus and cortex. The Schmitz group investigates neuronal network dysfunctions in Alzheimer's disease using transgenic mouse models with amyloid and tau pathology. Key research areas include: Microcircuitry of medial and lateral entorhinal cortex Gamma oscillatory activity in neuronal networks Early pathological changes in piriform and entorhinal cortices Inhibitory/excitatory neuron connectivity in disease states Physiological and pathophysiological network activities using in vivo and in vitro techniques The group has published significant findings on gamma oscillations in APP/PS1 mice, demonstrating early changes in lateral entorhinal cortex at 4 months correlating with plaque development. Current work extends to detailed morphology and connectivity studies of neurons/interneurons using multiple patch recordings, with future goals focusing on cellular-network level organization in medial entorhinal cortex during physiological and pathological states.

Richard KempterView profile

Professor

• Computational Neuroscience
• Memory Systems
• Hippocampal Circuitry
• +5 more

Richard Kempter is a Professor at Charité - Universitätsmedizin Berlin's Institute of Neuroscience, where he leads research in computational neuroscience with a focus on hippocampal circuitry and memory systems. His work bridges experimental neuroscience with theoretical modeling, examining how neural networks support spatial navigation, memory formation, and consolidation processes. His research interests center on the computational principles underlying hippocampal function, particularly in memory consolidation, spatial navigation, and neural coding. Kempter investigates how hippocampal circuits generate sharp wave-ripple events, how grid cells form spatial representations, and how memory traces transform during systems consolidation. His work combines computational modeling with experimental data analysis to develop testable theories about neural mechanisms. Analyzing Kempter's recent publications reveals a strong focus on hippocampal CA3 circuitry, with particular attention to sharp wave-ripple complexes and their role in memory consolidation. His work demonstrates how specific connectivity patterns between pyramidal neuron subtypes enable memory replay, while his computational models explain how grid-like representations emerge in entorhinal cortex. The research spans multiple scales from single-cell properties to network dynamics, with applications to both rodent and human memory systems. Kempter's scientific contributions have appeared in top-tier journals including Nature , Neuron , and PNAS , reflecting the significance of his work in understanding fundamental neural mechanisms. His publications demonstrate consistent innovation in developing computational frameworks that explain experimental observations while generating new testable predictions about memory systems. His research team collaborates extensively across institutions, working with experimental neuroscientists to bridge theoretical models with empirical data. Current projects examine how neural synchrony creates functional filters during rest states, how population sparseness affects memory capacity, and how subtype-specific connectivity enables sequential activation during memory replay events.

Michael BrechtView profile

Professor

• Neuroscience
• Somatosensory Cortex
• Memory Consolidation
• +6 more

Michael Brecht is a Professor at Humboldt University of Berlin, Faculty of Life Sciences, Department of Biology. His research focuses on neural mechanisms underlying somatosensory processing, memory consolidation, kinship behavior, and social play. He leads a research group investigating brain circuits related to these functions, with particular emphasis on the lateral septum, periaqueductal gray, and somatosensory cortex. Professor Brecht's research interests include: Neural circuits for somatosensory processing and body map representation Mechanisms of memory consolidation from synapses to systems Neural basis of kinship behavior and social recognition Neurobiology of social play and vocal communication Spatial coding and navigation systems in the brain His recent publications reveal a consistent focus on understanding how specific brain regions encode social and sensory information. Brecht's work frequently employs advanced techniques including electrophysiology, calcium imaging, optogenetics, and large-scale neural recording to investigate circuit mechanisms. A notable trend in his research is the investigation of sex differences in neural processing, particularly in genital somatosensory representation, and the identification of specialized neural architectures for social behaviors like kinship recognition. Scientific contributions include: Discovery of nepotopy (topographical representation of kin/nonkin) in the lateral septum Demonstration of sex differences in genital cortex representation Identification of glycine-dependent mechanisms in social play behavior Mapping of vocalization-related activity in brainstem nuclei Elucidation of perirhinal input mechanisms for neocortical learning Professor Brecht actively mentors students and collaborates with researchers across multiple institutions. His laboratory investigates both fundamental neural mechanisms and their implications for understanding social behavior. Current work appears focused on understanding the molecular and circuit-level basis of kinship memory and the neural substrates of social play behavior across development.

Sandhiya VijayabaskaranView profile

Researcher

• Computational Neuroscience
• Reinforcement Learning
• Spatial Navigation
• +3 more

Dr. Sandhiya Vijayabaskaran is a researcher at the Institute of Neuroinformatics (INI), Faculty of Computer Science, Ruhr University Bochum, Germany. Her work employs computational methods to understand spatial navigation and neural representations. Education M.Sc. in Computational Engineering, Ruhr-Universität Bochum (Thesis: "Transfer of learned associations in a reinforcement learning context") B.E. in Mechanical Engineering, M.S Ramaiah Institute of Technology, India Research Interests Her primary research focuses on computational neuroscience and reinforcement learning. She investigates how artificial agents develop spatial representations during navigation tasks, emphasizing relationships between artificial neural networks and biological systems (e.g., hippocampal place cells). This bridges AI and neuroscience to model cognitive processes underlying spatial behavior. Publication Trends Her 2019-2025 publications consistently explore spatial navigation via reinforcement learning. Key contributions include mammalian navigation taxonomies, neuroscience simulation frameworks (CoBeL-RL), and egocentric/allocentric representation emergence. These studies advance computational principles of spatial cognition with direct relevance to hippocampal function. Advising and Affiliation Dr. Vijayabaskaran has supervised Master's theses, including Al-Dilaimi's 2021 work on egocentric navigation representations. She is integral to the INI research group, which integrates experimental psychology, neurophysiology, and machine learning to study cognition and develop artificial cognitive systems.