Find Academic Supervisors

• Computational Neuroscience
• Spatial Navigation
• Temporal Cognition
• +5 more

Possessing a robust academic profile, Kay Thurley is a Researcher at the Faculty of Biology, Ludwig Maximilian University of Munich. His scholarly work intersects computational neuroscience, spatial navigation, and temporal cognition, with a focus on rodent models in virtual reality environments. His research explores the neural basis of spatial navigation and temporal cognition , which is further elaborated through studies on Virtual reality systems for rodents Time reproduction tasks in prefrontal cortex Hippocampal spatial coding Synaptic plasticity mechanisms Animal behavioral modeling Recent publications highlight trends in naturalistic neuroscience and virtual reality applications , examining how rodents process duration, distance, and sensory stimuli through prefrontal cortex dynamics and hippocampal subpopulations . His work spans 2008–2022 , with collaborations across neuroscience, zoology, and neurophysiology. Contact: thurley@bio.lmu.de

• Neurosciences
• Neuroimaging
• Parkinson's Disease
• +3 more

Prof. Dr. Klaus Leenders is a Professor of Neurology at the Faculty of Medical Sciences, University of Groningen. His research focuses on neuroimaging techniques (particularly PET), neurodegenerative disorders, and clinical neuroscience. He is actively involved in studies on Parkinson's disease, Alzheimer's disease, and REM sleep behavior disorder. His work integrates machine learning for medical image analysis and predictive modeling of neurological conditions. Educational Background: Details not explicitly provided in available texts. Research Interests: Neuroimaging biomarkers, metabolic brain changes in neurodegenerative diseases, sex-related neurological differences, and clinical applications of advanced imaging technologies. He leads interdisciplinary projects combining artificial intelligence with neurology. Awards: None explicitly mentioned in provided texts. Professional Activities: Medical Advisory Board member of Parkinson Patiëntenvereniging and European Section of International Parkinson Foundation. Advising & Grants: Supervises research projects involving clinical trials and imaging studies. Collaborates internationally on multi-center neuroimaging initiatives. No specific grant details provided. Labs/Teams: Part of research groups focused on neurodegenerative disease imaging, including the REMPET Working Group and collaborations with institutions like the Alzheimer's Disease Neuroimaging Initiative.

• Neurodegenerative Diseases
• Neuroscience
• Cell Biology
• +7 more

Michael Bienkowski is an Assistant Professor at the University of Southern California (USC), affiliated with the Department of Physiology and Neuroscience and Biomedical Engineering. He leads the translational research laboratory, the USC Center for Integrative Connectomics, which focuses on advancing connectomics and transcriptomics approaches to study neurodegenerative diseases such as Alzheimer’s and retinal degeneration. His work emphasizes cell-type specific analysis of gene expression and connectivity in rodent and human brain tissues, aiming to create translational cell type atlases for guiding clinical drug development and optimizing treatment strategies at progressive disease stages. His research interests span neurodegenerative diseases, cell biology, and the integration of cutting-edge technologies like augmented reality (Schol-AR) for enhancing data accessibility in scientific publications. This innovation allows direct embedding of datasets and interactive visualizations within papers, revolutionizing how neuroscientific findings are communicated. Recent publications highlight advancements in axon regeneration therapies, microglia classification in Alzheimer’s cases, and the application of machine learning to predict cognitive impairment via hippocampal subregion analysis. His work on mouse models (e.g., 5xFAD mice) elucidates disease mechanisms in structures like the subiculum and basal ganglia networks, providing insights into neurodegeneration progression. Dr. Bienkowski is part of the Laboratory of Neuro Imaging at USC and collaborates with institutions such as CTSI (Clinical and Translational Science Institute). No scientific awards or part-time roles are explicitly mentioned in the provided information. His advising and grants activities are not detailed here, though his lab’s translational focus suggests active grant-supported research.

• Neuroscience
• Neuroimaging
• Neurology
• +3 more

Zhuo Wang is a Research Assistant Professor (Part-Time) in the Department of Psychiatry and the Behavioral Sciences at the University of Southern California. His research focuses on neurobiological mechanisms underlying pain, stress, and cognitive dysfunction, with a particular emphasis on neuroimaging techniques and animal models. Key areas of investigation include visceral pain pathways, stress-induced neural reorganization, and the impact of exercise on brain connectivity and behavior. Wang employs multidisciplinary approaches integrating pharmacological interventions, functional brain mapping, and behavioral assays in rodent models to explore these topics. His work frequently addresses sex differences in neural responses, synaptic plasticity, and the gut-brain axis. Recent studies highlight exercise’s role in ameliorating neurological deficits and improving cognitive flexibility in Parkinsonian models, as well as the interplay between cerebral circuits and bladder dysfunction in chronic pelvic pain syndromes. Awards and grants: None explicitly listed in the provided text. Advising and collaborations: No students or grants are detailed here, but his publications suggest active collaboration with neuroscientists, clinicians, and bioengineers in translational research.

• Transcranial Magnetic Stimulation
• Neuroscience
• Clinical Psychology
• +2 more

Chris P.J. Baeken is a University Researcher in the Department of Electrical Engineering at Eindhoven University of Technology, specializing in neuromodulation techniques and clinical neuroscience. His research focuses on developing and optimizing non-invasive brain stimulation methods for psychiatric disorders, particularly treatment-resistant depression. Research interests include: Transcranial Magnetic Stimulation (TMS) protocols Neurophysiological mechanisms of depression Brain network connectivity analysis Neuroimaging techniques Cognitive and affective neuroscience Recent publications demonstrate a strong focus on clinical applications of neuromodulation, particularly exploring accelerated stimulation protocols and their effects on treatment-resistant populations. Research frequently incorporates multimodal approaches combining neurostimulation with functional imaging. Collaborates extensively with clinical institutions internationally and contributes to understanding brain-behavior relationships through innovative stimulation paradigms.

Richard StainesView profile

Professor

• Neuroscience
• Sensorimotor Integration
• Cognitive Neuroscience
• +5 more

Richard Staines is a Professor at the University of Waterloo specializing in Neuroscience, with a focus on sensorimotor integration, neuroplasticity, and the effects of neurological conditions such as concussion and multiple sclerosis. His research explores how sensory and motor systems adapt to injury, exercise, and substance use. Key topics include the long-term impacts of concussion on cognitive and motor functions, cannabis use in neurological patients, and the role of aerobic exercise in enhancing neuroplasticity. His work combines experimental approaches such as transcranial magnetic stimulation (TMS), EEG, and fMRI to investigate neural mechanisms underlying sensory processing, motor learning, and attention. The Sensorimotor Integration & Neuroadaptive Plasticity Lab (hosted at the University of Waterloo) serves as his research hub, driving studies on balance control, rehabilitation strategies, and the cerebellum's role in motor adaptation. Research Themes: Concussion neurobiology, cannabis neuropharmacology, exercise neuroscience, sensorimotor circuitry, and neurorehabilitation. Lab Website: https://uwaterloo.ca/sensorimotor-integration-neuroadaptive-plasticity-lab/ Recent studies highlight his exploration of sex differences in cannabis withdrawal effects, cerebellar contributions to motor adaptation, and the modulation of sensory gating deficits post-concussion. He currently accepts graduate student applications for collaborative research in these areas.

Abbas Babajani-FeremiView profile

Associate Professor

• Brain Connectomics
• Machine Learning in Neurology
• Neuroimaging Techniques (MEG, fMRI, EEG)
• +4 more

Dr. Abbas Babajani-Feremi is an Associate Professor in the Department of Neurology at the University of Florida, specializing in epilepsy and neurological disorders. He directs the Magnetoencephalography (MEG) Laboratory and has held prior roles at institutions including the University of Texas at Austin and the University of Tennessee. His research integrates brain connectomics, machine learning, and neuroimaging techniques (MEG, fMRI, EEG) to diagnose and treat epilepsy, Alzheimer’s, and other conditions, with a focus on language processing and brain network analysis. Education: PhD in Biomedical Engineering, University of Tehran (2007) Postdoctoral Fellowship, Henry Ford Hospital (2007–2011) Human Connectome Project (HCP) Member, Washington University School of Medicine (2011) Research Interests: Applications of brain connectomics and machine learning in neurological diagnostics Language mapping using non-invasive and invasive neuroimaging Development of biomarkers for Alzheimer’s disease and epilepsy Lab Leadership: Director of MEG Labs at multiple institutions, including the Dell Children’s Medical Center and Le Bonheur Children’s Hospital. Advancing Neuroimaging: Pioneered standardized protocols for stereoelectroencephalography (SEEG) and contributed to the Human Connectome Project’s MEG integration efforts.

• Neuroscience
• Motor Control
• Biomechanics
• +3 more

Prof. Dr. Andreas Daffertshofer is a Full Professor at Vrije Universiteit Amsterdam (VU Amsterdam), holding concurrent roles in the Neurocontrol department under the Faculty of Behavioural and Movement Sciences, as well as in IBBA, AMS - Ageing & Vitality, and AMS - Rehabilitation & Development. His research focuses on neural mechanisms underlying motor control, gait dynamics, and neuromuscular coordination, with interdisciplinary applications in clinical neurology and developmental disorders. Research interests include cortical contributions to locomotion, phase synchronization in neural networks, and the application of machine learning to neuromuscular assessment. Notable work addresses gait stability, muscle synergies, and the neurophysiological basis of movement disorders such as Parkinson’s disease and cerebral palsy. He has supervised 23 PhD theses, contributing to training the next generation of movement science researchers. His publications span over 230 peer-reviewed articles, exploring topics like EEG source localization, neural mass modeling, and the impact of caffeine on neurological function. Ongoing projects investigate aging-related changes in sensorimotor learning and the role of visual feedback in postural control among neurological patients. Collaborative work includes interdisciplinary projects with the Amsterdam Movement Sciences (AMS) research center and the International Brain and Behaviour Alliance (IBBA), emphasizing translational research to improve clinical outcomes in rehabilitation.

• Climate Change and Health
• Rural and Remote Health
• Medical Education
• +3 more

David Reser is a Senior Lecturer at Monash University, affiliated with the Graduate Entry Medicine Program within Monash Rural Health-Gippsland. He holds a combined teaching and research role, focusing on medical education and rural health. Previously, he conducted neuroscience research at the Department of Physiology, investigating the claustrum's role in sensory integration and consciousness. Since 2021, his work shifted to climate change's health impacts, particularly in rural healthcare preparedness for disasters like bushfires and floods. Education: PhD in Neuroscience from Albert Einstein College of Medicine (2000). Research Interests: Current work addresses climate change's health effects, rural healthcare resilience, and medical education innovation. Prior research explored the claustrum's functional connectivity and its potential role in consciousness. Notable projects include co-founding the Society for Claustrum Research and leading studies on sensory systems and cognitive neuroscience. Awards: Chandler M. Brooks Memorial Lecture (2016) and Exceptional Academic Achievement (2023). Advising & Grants: Involved in projects like 'Transforming pre-vocational medical training' (2021) and 'The claustrum enigma' (2014–2016). Collaborates internationally on brain imaging and climate health initiatives. Labs/Teams: Active in Monash Rural Health and interdisciplinary groups studying climate adaptation in healthcare and neuroimaging techniques.

Kwame KuttenView profile

Senior Lecturer

• Biomedical Imaging
• Computational Anatomy
• Neuroscience
• +3 more

Kwame Kutten is a Senior Lecturer in the Department of Biomedical Engineering at Johns Hopkins University, affiliated with the Whiting School of Engineering. He supports quantitative education within the department and leads the Gateway Computing courses. His research focuses on biomedical imaging and computational methods to study brain structural changes in disease contexts. Education: PhD in Biomedical Engineering (Johns Hopkins University, 2017); BS in Biomedical Engineering (Rensselaer Polytechnic Institute, 2009). Research Interests: Image analysis, computational anatomy, neuroscience, and their applications in understanding neurological disorders. His work combines advanced imaging techniques with algorithmic approaches to study brain connectivity and morphology. Publications: Recent work includes advancements in cortical segmentation (2024), amygdalar-hippocampal shape analysis in bipolar disorder (2021), and diffusion tensor imaging visualization (2020). His research spans neuroimaging techniques, computational methods, and clinical applications. Teaching & Support: Provides critical quantitative course support and develops computing curriculum for engineering students.

Sten GrillnerView profile

Professor

• Neurosciences
• Motor Control
• Neural Circuits
• +4 more

Sten Grillner is a Senior Professor at Karolinska Institutet's Department of Neuroscience, focusing on the cellular and evolutionary basis of motor behavior. His research integrates neurophysiology, computational modeling, and evolutionary biology to understand neural circuits controlling movement, with a focus on lamprey models and basal ganglia function. His work explores how motor systems evolved, including the role of pH-sensing neurons and the neural basis of action selection. Key research areas include: motor control mechanisms; evolution of vertebrate forebrain structures; modeling neural networks (e.g., striatum and spinal circuits); and the role of dopamine and other neuromodulators in behavior. His group's projects are funded by the Swedish Research Council, EU initiatives like the Human Brain Project, and Karolinska Institutet. Publications span over 50 years, with recent work on basal ganglia microcircuits, computational neuroscience frameworks, and evolutionary insights from lamprey models. His team's interdisciplinary approach bridges experimental and theoretical neuroscience, contributing to understanding both normal motor function and neurological disorders.

Eyal SeidemannView profile

Professor

• Neural basis of visual perception
• Optical imaging techniques
• Computational neuroscience
• +3 more

Eyal Seidemann is a Professor in the Department of Neuroscience at the University of Texas at Austin, affiliated with the College of Liberal Arts and the Center for Perceptual Systems. His research focuses on understanding how perceptual decisions and motor plans are represented in the primate cerebral cortex. He employs advanced imaging, genetic, and electrophysiological techniques in awake, behaving primates to study neural mechanisms of visual perception and decision-making. Seidemann earned his Ph.D. in Neuroscience from Stanford University. His work integrates experimental and computational approaches, including optogenetics, calcium imaging, and computational modeling. He is supported by grants from the NIH-NEI, BRAIN Initiative, and DARPA, and leads the Seidemann Lab, which develops cutting-edge neuroimaging tools like the Bio-FlatScopeNHP lensless microscope for non-invasive cortical monitoring in primates. Key research areas include neural population dynamics in V1, cortical topography, and the interplay between sensory inputs and behavioral outputs. His lab's innovations in microscopy and optogenetic stimulation enable real-time visualization and manipulation of neural activity during perceptual tasks. Recent findings highlight the role of fluctuating internal states and nonlinear dynamics in shaping sensory processing and decision-making. Seidemann’s contributions bridge experimental neurophysiology and theoretical neuroscience, with applications in understanding neural coding mechanisms and advancing brain-computer interfaces. His work has been published in high-impact journals and presented at international conferences in neuroscience and neuroengineering.

Liberty HamiltonView profile

Assistant Professor

• Speech Perception
• Neural Processing
• Developmental Neuroscience
• +3 more

Dr. Liberty Hamilton is an Assistant Professor at the University of Texas at Austin, holding joint appointments in the Department of Communication Sciences and Disorders (Moody College of Communication) and the Department of Neurology (Dell Medical School). She earned her Ph.D. in Neuroscience from the University of California, Berkeley. Her research focuses on understanding how the brain processes speech sounds, particularly during development and in clinical populations with epilepsy. Using invasive electrophysiological techniques (ECoG/sEEG) and noninvasive EEG, her lab studies speech perception, production, and neural plasticity in children and adults. Key research themes include: 1) Mapping neural representations of speech in the auditory cortex; 2) Investigating speech processing changes during development; 3) Developing clinical interventions for communication disorders. Collaborations involve Dell Children’s Comprehensive Epilepsy Center and Texas Children’s Hospital. Her work has been funded by NIH, Department of Defense, and the Coleman Fung Foundation. Notable awards include the Ellen A. Wartella Distinguished Research Award (2023) and Kavli Fellowship (2022). She mentors a multidisciplinary team of graduate students and postdocs, with current projects on auditory attention, speech decoding models, and neuroplasticity interventions. Publications emphasize naturalistic stimuli analysis, EEG/ECoG encoding models, and clinical translation of neuroscientific findings. Her lab is relocating to UC Berkeley in 2025 but continues active research at UT Austin until then.

• Cognitive Neuroscience
• Social Neuroscience
• Affective Neuroscience
• +7 more

Alessio Avenanti is a Full Professor at the Department of Psychology 'Renzo Canestrari' , University of Bologna, Italy, and director of the Non-invasive Brain Stimulation Research Group . He leads research at the Center for Studies and Research in Cognitive Neurosciences , Cesena Campus, and serves as a research consultant at international institutions including IRCCS San Camillo (Venice) and the Universidad Católica del Maule (Chile). Education : PhD in Cognitive Neuroscience, Sapienza University of Rome European Diploma in Cognitive and Brain Sciences, Hanse Institute Master's Degree in Experimental Psychology (Cum Laude), Sapienza University of Rome Research Interests : Focuses on cognitive, social, and affective neuroscience , particularly neuroplasticity mechanisms, non-invasive brain stimulation techniques, and the neural bases of empathy, emotion, and decision-making. His work bridges basic science and translational applications, including neurorehabilitation and mental health interventions. Grants & Awards : Recipient of grants from the Bial Foundation, Italian Ministry of Health, and Fondazione del Monte 2016 National Award 'Premio SIPF' for research in psychophysiology Listed in the World's 2% Top Scientists (2023-2024) Professional Activities : Editorial roles at Scientific Reports , Cognitive Affective and Behavioral Neuroscience , and PLoS ONE Member of the International Neuropsychology Symposium and Italian Society for Psychophysiology Director of the University of Bologna's Cesena Campus Organizational Unit Labs & Teams : Leads the Non-invasive Brain Stimulation Group , focusing on developing novel protocols for studying brain plasticity and neural networks underlying human cognition and emotion.

Nicole WenderothView profile

Professor

• Neuroscience
• Motor Control
• Neurorehabilitation
• +5 more

Prof. Nicole Wenderoth is a Full Professor in the Department of Health Sciences and Technology at ETH Zürich. Her research focuses on understanding the neural basis of motor functions, particularly in neurological patients and those with developmental disorders like autism. She employs advanced imaging (fMRI) and stimulation techniques (TMS, tDCS) to study complex movement production, skill acquisition, and rehabilitation strategies. Education: M.Sc. in Kinesiology (German Sport University, 1996), Ph.D. in Kinesiology (2000). Postdoc at KU Leuven (2001–2006), then Assistant/Associate Professor before becoming Full Professor at ETH (2012). Key Research Areas: Motor learning, neurorehabilitation, stroke/Parkinson's recovery, autism neurobiology Methodologies: fMRI, TMS, transcranial brain stimulation, animal models Recent work explores sleep modulation for motor performance, wearable neuroprosthetics, and cross-species fMRI for autism subtyping. Awards include the 2001 European College of Sport Science Young Investigators Award (Poster). Her lab investigates neural network dynamics, including locus coeruleus modulation and cortical arousal regulation via pupil biofeedback. Collaborations span clinical trials in stroke rehabilitation and neurotechnological interventions.