Simon Hanslmayr is a Professor in the School of Psychology & Neuroscience at the University of Glasgow. His research investigates neural oscillations' role in attention and memory processes, employing EEG, fMRI, and transcranial stimulation techniques. He focuses on healthy populations and clinical conditions like Schizophrenia and PTSD. His lab develops tools like the Brain Time Toolbox for electrophysiological data analysis. Education: Ph.D. in Cognitive Neuroscience (not explicitly detailed in text) Research interests include understanding how precise neural timing via oscillations underpins cognitive functions. Key areas: hippocampal memory coding, theta phase synchronization in associative memory, and causal effects of rhythmic stimulation on memory plasticity. Recent articles highlight mechanisms linking theta oscillations to memory formation, thalamocortical interactions in perception, and hippocampal-neocortical coupling. His work bridges experimental and computational approaches to model memory dynamics. Grants: Sensory stimulation for memory impairment (BIAL Foundation, 2025-2026) EU-funded studies on neural oscillations and memory (2020-2021) Awards: None explicitly listed, but active grant recipient. Supervised students include Kiera Capstick, Eleonora Marcantoni, and others. Collaborates with researchers worldwide through lab affiliates and visiting scholars. Current work emphasizes scalable neurotechnologies for cognitive enhancement and memory rehabilitation. Labs/Teams: Leads the Memory & Oscillations Lab at the University of Glasgow, collaborating with institutions like the University of Zurich and Maastricht University on neuroimaging and clinical studies.
Prof. Stephen Mayhew is a Professor at Aston University's School of Life & Health Sciences, affiliated with the College of Health and Life Sciences. He leads the Cognition & Neuroscience Research Group (CNRG) and contributes to the Aston Research Centre for Health in Ageing. His research focuses on multimodal neuroimaging (EEG/fMRI/MRI/MEG) to study brain activity in health and cognition, particularly negative BOLD responses and their role in neural inhibition and behavior. Recent work includes investigating task-demand effects on BOLD responses, brain state dynamics during rest, and neurovascular coupling methods. Education & Affiliations: Affiliated with Aston University's School of Life & Health Sciences Member of CNRG and Health in Ageing Centre Research Interests: His work explores collaborative/antagonistic brain networks, lifespan changes in brain function, and the functional significance of negative BOLD responses. Techniques include fMRI, EEG, and advanced neuroimaging analysis methods like fractal dimension and laminar 7T MRI. Key Contributions: Published over 30 peer-reviewed articles on neuroimaging and brain networks Systematic reviews on neurovascular coupling and transcranial Doppler methods Labs & Teams: Active in CNRG and collaborates across disciplines in health sciences and bioengineering.
Peter A. Tass is a Professor of Neurosurgery at Stanford University's School of Medicine, where he leads the Tass Lab within the Department of Neurosurgery. His research focuses on developing groundbreaking neuromodulation techniques designed to impact the course of neurological diseases including Parkinson's disease, stroke, epilepsy, and tinnitus. The Tass Lab is part of several prestigious Stanford initiatives including Bio-X, the Wu Tsai Human Performance Alliance, the Maternal & Child Health Research Institute (MCHRI), and the Wu Tsai Neurosciences Institute. MD from Universities of Ulm and Heidelberg, Germany (1989) PhD in Physics from University of Stuttgart, Germany (1993) Diploma (master's degree) in Mathematics from University of Stuttgart, Germany (1993) Habilitation thesis in Physiology from RWTH Aachen University, Aachen, Germany (2001) Dr. Tass's primary research interests center around computational neuroscience approaches to understanding and treating neurological disorders. His lab pioneers neuromodulation techniques based on thorough computational modeling that employs dynamic self-organization, plasticity, and other neuromodulation principles to produce sustained therapeutic effects after stimulation. He specifically focuses on developing stimulation methods that cause sustained neural desynchronization by unlearning abnormal synaptic interactions. His work spans both invasive techniques like deep brain stimulation and non-invasive approaches such as vibrotactile and acoustic stimulation. Current projects involve developing novel therapies for Parkinson's disease, epilepsy, tinnitus, and other neurological conditions using comprehensive computational neuroscience methods derived from non-linear dynamics, statistical physics, and numerics. Analysis of Dr. Tass's recent publications reveals a strong focus on coordinated reset stimulation techniques, neural network modeling with plasticity mechanisms, and computational approaches to brain stimulation. His work consistently bridges theoretical computational neuroscience with clinical applications, particularly for Parkinson's disease treatment. A significant portion of his recent research examines how stimulation parameters, sequences, and timing affect long-lasting desynchronization effects in neural networks. His publications demonstrate an interdisciplinary approach combining physics, mathematics, neuroscience, and clinical medicine to develop novel therapeutic interventions. Member of the European Academy of Sciences and Arts (2012) Nicolaus August Otto Innovation Prize (2011) German Innovation Award in Medicine (2011) Rapid Response Innovation Awards from The Michael J. Fox Foundation (2009, 2010) Runner-up for the German future prize (2006) Erwin Schrödinger prize (2005) Fritz Winter prize (2000) Dr. Tass actively mentors a diverse team of researchers including staff scientists, postdoctoral fellows, clinician-scientists, and students. His lab currently includes researchers with backgrounds in physics, computational neuroscience, biomedical engineering, and clinical neurology. The lab is involved in multiple clinical trials, including studies on coordinated reset spinal cord stimulation and vibrotactile coordinated reset stimulation for Parkinson's disease. His research is supported by various funding sources including foundations focused on neurological disorders and innovation in medical technology. Dr. Tass collaborates extensively with both internal Stanford researchers and external collaborators worldwide. The Tass Lab at Stanford is a multidisciplinary research group comprising physicists, neuroscientists, engineers, and clinicians working together to develop novel neuromodulation therapies. The lab team includes staff scientists like Justus Kromer (theoretical physicist), postdocs like Daniel Ehrens and Kanishk Chauhan, clinician-scientists like Tina Munjal, and clinical research coordinators. The lab maintains active collaborations with Stanford colleagues across departments including Kwabena Boahen, Vivek P. Buch, and Jaimie Henderson, as well as external collaborators like Alexander Neiman and Kęstutis Pyragas. Current research directions include developing non-invasive vibrotactile treatments for Parkinson's disease, acoustic coordinated reset therapy for tinnitus, and responsive deep brain stimulation for conditions like loss-of-control eating.
Paul Shaw is a Professor of Neuroscience in the Department of Neuroscience at Washington University School of Medicine. He leads the Shaw Lab, which focuses on understanding the fundamental mechanisms of sleep and its relationship to cognitive function and neurological disorders using Drosophila melanogaster as a model organism. Dr. Shaw's research has demonstrated that enhancing sleep can fully restore cognitive functioning in various memory mutants and even reverse cognitive deficits in models of Alzheimer's disease. His work suggests sleep plays a vital role in neuronal plasticity beyond simple memory consolidation, including improving creative thinking and problem-solving abilities. Dr. Shaw's educational background includes a BA in Psychology & Criminal Justice from Niagara University (1985), an MA in Psychology from San Jose State University (1990), and a PhD in Biopsychology from the University of Chicago (1996). His recent research has focused on the molecular mechanisms that allow sleep to initiate extreme forms of neuronal plasticity capable of reversing cognitive deficits caused by genetic and structural lesions. In 2021, Dr. Shaw received a one-year $2.3 million grant from the National Institute on Aging of the NIH for research titled "Bidirectional interactions between sleep and Alzheimer's disease: Functional dissection of the brain transcriptome in humans and Drosophila." Dr. Shaw's publications reveal consistent research trends in sleep neuroscience, with particular emphasis on: The relationship between sleep and memory consolidation Mechanisms of sleep homeostasis and regulation The role of sleep in cognitive resilience and recovery from neurological damage Using Drosophila models to understand fundamental sleep mechanisms relevant to humans The connection between sleep disruption and neurodegenerative diseases Dr. Shaw actively mentors students and researchers in the Shaw Lab and has numerous ongoing research projects exploring the fundamental biological purpose of sleep. His work has significant implications for understanding and potentially treating sleep disorders and neurodegenerative conditions.
Xuefeng Wei is an Associate Professor in the Department of Biomedical Engineering at The College of New Jersey. He earned his Ph.D. in Biomedical Engineering from Duke University in 2009. His research focuses on neural engineering, neural prosthetics, and computational neuroscience, with specialized expertise in deep brain stimulation technologies and neural interface design. Research Focus: Dr. Wei's work bridges computational neuroscience and biomedical device innovation. Key areas include: Development of novel electrode geometries to minimize tissue damage during neural stimulation High-frequency stimulation paradigms for neural modulation and desynchronization Computational modeling of sodium channel dynamics and axonal block mechanisms In-vivo validation of stimulation systems in hippocampal and thalamic networks Publication Trends: His 15 most recent articles (2005-2020) demonstrate consistent focus on optimizing neural stimulation through: Electrode design innovations (fractal, recessed, and segmented configurations) Advanced stimulation paradigms (time-varying, sinusoidal, high-frequency) Multiscale validation (computational models, rat hippocampus, nonhuman primates) Applications in epilepsy management and arousal regulation Honors: Support of Scholarly Activities (SOSA) Award (2023) Academic Service: Faculty Senate Representative (2021-2024) Strategic Plan Implementation Committee (2021-Present) PRC Committee Member (2022, 2024) Committee on Student and Campus Community (2025)
Andreas Wulff-Abramsson serves as a Special Consultant in the Department of Nutrition, Exercise and Sports at the University of Copenhagen, affiliated with the Movement and Neuroscience research group. His interdisciplinary work bridges neuroscience, virtual reality, and motor control, focusing on embodied learning applications and neural mechanisms of cognition and movement. His primary research interests include Neuroscience , Motor Control , Virtual Reality , Cognitive Science , EEG , and Embodied Learning . He investigates how virtual environments influence educational outcomes in children, neural correlates of motor function across age groups, and sensory processing mechanisms using EEG and VR methodologies. His experimental approach integrates cognitive psychology with advanced neuroimaging techniques to explore embodied cognition. Recent publications reveal a strong trend toward applied neuroscience, particularly VR-enhanced educational interventions for early literacy and detailed EEG analyses of motor control and sensory processing. His work consistently combines experimental rigor with innovative technology applications, spanning educational psychology, film cognition, and human-computer interaction domains. Wulff-Abramsson operates within the Movement and Neuroscience team at NEXS, which examines the intersection of physical activity, nutrition, and brain health. This group employs virtual reality systems, EEG recording, and motion analysis to investigate fundamental neural processes underlying movement and cognitive function across diverse populations.
Benjamin Judkewitz is a Professor at Humboldt University of Berlin and a principal investigator in Collaborative Research Center 1315 (SFB 1315), focusing on inhibitory control of memory consolidation in the primary somatosensory cortex. His work bridges advanced optical engineering with fundamental neuroscience to overcome deep-tissue imaging limitations and investigate cortical dynamics. His research centers on Neuroscience , Optical Imaging , and Microscopy , with specific expertise in wavefront-shaping techniques (F-SHARP) for deep brain imaging and the neural mechanisms governing brain state transitions. He investigates how cortical pyramidal neurons integrate thalamocortical inputs, neuromodulation, respiration, and movement to drive global state changes from sleep to wakefulness. Analysis of his 2020-2021 publications reveals two convergent research thrusts: (1) development of three-photon F-SHARP microscopy enabling high-resolution imaging beyond 400μm depth in mouse brain tissue, and (2) theoretical frameworks for multi-pathway brain state regulation. These works demonstrate an interdisciplinary fusion of optical physics, neurophysiology, and systems-level analysis to address fundamental limitations in neural observation. Dr. Judkewitz leads a research group within SFB 1315 that collaborates intensively with Matthew Larkum's and James Poulet's teams. His laboratory specializes in in vivo multiphoton imaging of dendritic structures in sensory cortices, utilizing custom-modified commercial microscopes for deep-tissue neural circuit analysis. No information on student advising, specific grants, or scientific awards was provided in the source material.
Dr. Alexander Silchenko is a Senior Researcher at the Forschungszentrum Jülich, affiliated with the Institute of Neuroscience and Medicine (INM) within the Brain and Behaviour (INM-7) department. His work focuses on neuromodulation techniques, computational modeling of neural systems, and the application of mathematical frameworks to understand neurological disorders. Key areas include effective connectivity analysis in brain networks, acoustic coordinated reset therapy for tinnitus and Parkinson’s disease, and modeling glial responses to neural implants. His research integrates experimental and theoretical approaches, with publications addressing topics such as stochastic dynamics, neural synchronization, and neuroinflammation. Notable contributions include studies on long-term effects of coordinated reset stimulation and computational models of chemotaxis around implanted electrodes. Dr. Silchenko’s interdisciplinary work bridges neuroscience, biomedical engineering, and mathematical biology. He has authored over 40 peer-reviewed articles, emphasizing translational research between computational models and clinical applications. Current efforts involve developing novel neuromodulation protocols and understanding the biophysical mechanisms underlying phantom sound perception and neurodegenerative processes.
Timoteo Carletti is a Full Professor in the Department of Applied Mathematics at the University of Namur, Belgium, and a leading researcher at the Namur Institute for Complex Systems (naXys). He has been with the University of Namur since 2005, progressing from lecturer to professor in 2008 and Full Professor in 2011. Carletti co-founded the Namur Center for Complex Systems in 2010 and directed it until 2014. His academic journey includes postdoctoral research at Paris XI, IMPA in Rio de Janeiro, Scuola Normale Superiore in Pisa, and the University of Padova. Carletti earned his Master's degree in Physics from the University of Florence in 1995 and completed his Doctorate in Mathematics there in 2000 with a thesis on "Stability of orbits and Arithmetics for some discrete dynamical systems." His research spans diverse fields including biology, celestial mechanics, chaos detection, complex networks, control of systems, dynamic systems, economics, particle accelerators, and social dynamics. With over 150 publications and an h-index of 26 (2,450 citations), his work demonstrates significant impact in the field of complex systems. His research focuses on complex networks , synchronization phenomena , higher-order interactions , and pattern formation . Recent work explores synchronization in matrix-weighted networks, chimera states on directed hypergraphs, topological Dirac synchronization, and control strategies for desynchronizing Kuramoto oscillators. His publication record shows a clear evolution from traditional network analysis toward increasingly complex higher-order structures and topological approaches to understanding dynamical systems. Carletti has led numerous significant research projects including EMOTIONS (Emergent MOTifs in IntercONnected Systems), Be-neXst (Belgian advanced studies on compleX systems), and UNDER-NET (underground fungal networks). He served as President of the Graduate School FNRS "Non-linear phenomena, Complex Systems and Statistical Mechanics" from 2011-2017 and has organized major international conferences including ECCS12 in Brussels. As an educator, Carletti has supervised numerous PhD and Master's theses across mathematics, economics, biology, and computer science. His upcoming activities for 2025 include hosting researchers, delivering invited talks on global synchronization, and organizing the Perspectives in Nonlinear Dynamics conference and the International School and Conference on Network Science.
Dr. Elliot Freeman is a Senior Lecturer and Admissions Tutor in the Department of Psychology at City, University of London, within the School of Social Sciences. He received his PhD in Psychology from the University of Bristol in 1998 and completed postdoctoral research at the Institute of Cognitive Neuroscience, University College London, before holding a lectureship at Brunel University and joining City University in 2009. His research expertise lies in cognitive neuroscience and perception, with a focus on: Cross-modal integration Synaesthesia (particularly the Visually-Evoked Auditory Response) Visual perception and attention Perceptual grouping Individual differences in audiovisual timing Numerical cognition His recent publications reveal a strong trend in multisensory integration, especially how visual motion can evoke auditory sensations and how sight and sound are subjectively desynchronized across individuals. He employs psychophysics, fMRI, EEG, and brain stimulation (TMS, tES) to explore the neural mechanisms underlying these perceptual phenomena. His work challenges traditional views of sensory synchrony and proposes the 'temporal renormalization' theory. Dr. Freeman has received recognition through media coverage in outlets such as New Scientist and Mail Online for his research on synaesthesia and sensory perception. He actively supervises PhD students, including Dr. Alberta Ipser, Dr. Iro Ntonia, and Christopher Fassnidge, and teaches courses in Cognitive Psychology and Cognitive Neuroscience. His lab investigates how attention modulates visual processing and how brain regions interact during multisensory tasks.
Massimo Avoli is Professor at McGill University holding dual appointments in the Departments of Neurology & Neurosurgery and Physiology at The Neuro (Montreal Neurological Institute-Hospital), a leading bilingual academic healthcare institution and Killam Institution. His research focuses on fundamental mechanisms of epilepsy with direct clinical translation potential. Education: Medical Degree (1975), Sapienza University of Rome Neurology Training (1979), Sapienza University of Rome PhD (1982), McGill University Postdoctoral Fellowship with Dr. Per Andersen, University of Oslo (1983) Research Focus: Dr. Avoli investigates the pathophysiology of mesial temporal lobe epilepsy —the most common adult focal epilepsy—through analysis of inhibitory/excitatory balance in neuronal networks. His laboratory employs electrophysiological, pharmacological, molecular, and optogenetic approaches in rodent models to dissect mechanisms of epileptogenesis and ictogenesis, with emphasis on GABAA receptor signaling and cell-type-specific network dynamics. This work aims to identify novel antiepileptic targets by understanding how specific neuronal populations trigger seizure onset patterns. Publication Trends: Recent work (2016-2023) demonstrates consistent focus on temporal lobe epilepsy mechanisms using advanced techniques. Key themes include GABAergic interneuron dysfunction, optogenetic modulation of seizure networks, CA3 hippocampal circuitry in seizure initiation, and molecular control of neuronal excitability. Publications reveal increasing integration of optogenetics with traditional electrophysiology to achieve cell-type-specific interventions in both in vitro and in vivo models. Collaborative Network: Dr. Avoli maintains extensive national and international collaborations including The Neuro (Drs. S. Baillet, J. Gotman, T. Kennedy), McGill (Drs. N. Sonenberg, S. Williams), Université de Montréal (Dr. G. Di Cristo), and institutions in Germany, Italy, and USA. His laboratory serves as a hub for translational epilepsy research bridging basic mechanisms with clinical applications.
Sue Ann Campbell is a Professor and Core Member at the Centre for Theoretical Neuroscience, University of Waterloo. Her research focuses on theoretical neuroscience and mathematical modeling of neural systems, with expertise in dynamical systems, time-delay effects, and network synchronization. Her work spans neural mass models, coupled oscillators, stability analysis of delayed systems, and applications in epilepsy research and autonomous vehicle networks. She develops mathematical frameworks to understand how delays and coupling configurations influence collective behavior in biological and engineered networks. Her publications demonstrate a strong emphasis on bifurcation analysis, synchronization phenomena, and the role of time delays in neural and ecological systems. Recent work includes modeling spike-wave discharges in epilepsy, stability in vehicle platoons, and plankton dynamics with delayed nutrient recycling.
Jeremie Fish is a Research Assistant Professor in the Department of Electrical & Computer Engineering at Clarkson University, affiliated with the Coulter School of Engineering & Applied Sciences. Their research focuses on interdisciplinary applications of network theory, nonlinear dynamics, and data analysis to neuroscience, biophysics, and complex systems. Key areas include functional brain networks, stochastic self-assembly mechanisms, and synchronization phenomena in networks. Fish’s work often combines mathematical modeling with computational methods such as kernel density estimation and entropy-based inference. Recent publications highlight contributions to understanding fractal basins in neural systems, fragility in network structures, and entropic regression for neurological data. Their research also extends to environmental applications like forecasting harmful algal bloom impacts. Fish holds a position at Clarkson’s CAMP Building and can be reached at jafish@clarkson.edu. No scientific awards or grants are explicitly mentioned in the provided text. Advising records for students are not listed here. Research interests span computational neuroscience, network robustness, and systems biology, with a focus on developing novel analytical frameworks for complex systems.
Dan Wilson is an Assistant Professor in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville, within the Tickle College of Engineering. He holds a PhD in Mechanical Engineering from the University of California, Santa Barbara (2016), and dual undergraduate degrees from the University of Washington (BS Mechanical Engineering, 2011) and Whitman College (BA Natural and Mathematical Sciences, 2011). His research focuses on medical applications of dynamical systems, model reduction techniques for nonlinear systems, and optimal control strategies with applications to neuroscience and cardiology. He has pioneered methods for analyzing and controlling oscillatory systems, particularly in cardiac arrhythmias and neural populations. Notable contributions include phase-amplitude reduction frameworks and isostable coordinate approaches for high-dimensional systems. Wilson has received prestigious awards, including the SIAM Life Sciences Early Career Prize (2022) and an NSF CAREER Award (2022). He has secured over $1.5 million in grants, including NSF funding for nonlinear model reduction and collaborative projects in fluid dynamics and AI-driven decision-making. He teaches courses in control systems, linear systems theory, and nonlinear dynamics. He advises PhD students in areas such as cardiac chaos modeling, circadian rhythm synchronization, and fluid flow reduction. His work bridges theoretical dynamical systems with practical biomedical applications, emphasizing data-driven methodologies and interdisciplinary collaboration.
Vitória Piai is an Associate Professor at the Donders Institute for Brain, Cognition and Behaviour within Radboud University Nijmegen . She leads the Language Function and Dysfunction Lab , focusing on the interplay between language production, comprehension, and cognitive neuroscience through behavioral studies, electrophysiology, and neuroimaging. Research Interests: Bi-directional approach connecting cognitive neuroscience with clinical language disorders Neural oscillations in language processing Neuroplasticity after brain damage Word production mechanisms in neurological populations Key Methodologies: Behavioral measures, EEG/MEG, diffusion-weighted imaging, and non-invasive brain stimulation. Her work bridges psycholinguistics with clinical applications, particularly in aphasia and cognitive impairment. Notable Scientific Contributions: Investigating temporal lobe white matter differences between humans and chimps, stroke lesion effects on MEG reconstruction, and neurocognitive impacts of head/neck cancer treatments. Her recent publications focus on semantic control networks and neural oscillations in speech production. Students and Collaborators: Supervises PhD candidates Irina Chupina , Christina Papoutsi , Arushi Garg , and Adrian Jodzio . Collaborates with researchers across Europe on aphasia studies, neuroplasticity, and cognitive-linguistic interactions.
