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Peter TyackView profile

Professor

• Marine Biology
• Acoustics
• Animal Behavior
• +3 more

Prof Peter Tyack is a Research-Focused Professor at the School of Biology, University of St Andrews, with affiliations to the Scottish Oceans Institute and Centre for Social Learning & Cognitive Evolution. His work spans marine mammal bioacoustics, behavioral ecology, and conservation biology. UN Sustainable Development Goals: 14 (Life Below Water), 13 (Climate Action) Collaborations: USA, Norway, UK institutions Research focuses on vocal learning evolution in mammals , cetacean communication systems , and anthropogenic noise impacts on marine wildlife. His lab develops novel methods for continuous behavioral sampling in field conditions. Recent publications examine porpoise echolocation masking by vessel noise, neural connectivity differences in whales, and marine mammal welfare monitoring . Over 258 publications reflect his extensive work in marine bioacoustics and conservation physiology. Scientific Awards Fellow of the Royal Society of Edinburgh (2016) Supervises PhD students including Gabrielle Arrieta and Dinah Hartmann. Active in marine policy advisory roles and has participated in 80+ professional activities including invited talks and workshops.

Vikram S. ChibView profile

Associate Professor

• Decision-making
• Motor Control
• Neuroeconomics
• +4 more

Vikram S. Chib is an Associate Professor of Biomedical Engineering at the Johns Hopkins University School of Medicine. He is also a Research Scientist at Kennedy Krieger Institute and affiliated with the Kavli Neuroscience Discovery Institute. His research integrates robotics, neuroscience, and economics to study how the brain controls movement and motivational processes, focusing on decision-making, reward valuation, and effort-based choices. Chib holds a PhD and MS in Biomedical Engineering from Northwestern University (2007, 2003) and a BS in Bioengineering from the University of Pittsburgh (2001). His postdoctoral training was at the California Institute of Technology. His work explores how motivational cues drive motor actions, with applications to neurological disorders and incentive design. Key areas include cognitive fatigue mechanisms, dopamine’s role in effort perception, and neural substrates of decision-making. His lab uses functional brain imaging, noninvasive brain stimulation, and behavioral experiments to investigate these topics. Chib’s research has been featured in high-impact studies on fatigue regulation, schizophrenia-related effort deficits, and the neurobiological basis of social and prosocial behavior. He collaborates across disciplines to translate findings into treatments for neurological impairments and performance optimization strategies.

• Cognitive Neuroscience
• Working Memory
• Temporal Integration
• +4 more

Elkan Akyürek is a Professor of Cognitive Neuroscience and Chair of the Department of Experimental Psychology at the University of Groningen. He leads a research group focused on understanding the neural mechanisms underlying working memory, temporal integration, and attention. His work employs EEG, behavioral experiments, and computational modeling to explore how sensory information is integrated, maintained, and processed in the brain. He has been instrumental in advancing methodologies like impulse perturbation and concealed information testing, with applications in cognitive neuroscience and forensic psychology. Research interests center on cognitive neuroscience, particularly in the domains of working memory maintenance, temporal processing, and the neural correlates of conscious awareness. He investigates how attention modulates perception and memory, with a focus on adaptive mechanisms in visual and auditory systems. His lab also explores the effects of nutritional interventions (e.g., cocoa flavanols) on cognitive performance. Recent research highlights include studies on concealed information detection using EEG and eye-tracking, adaptive forgetting dynamics in working memory, and the neural basis of temporal integration. His work has been published in high-impact journals like *Nature Neuroscience*, *Psychological Review*, and *NeuroImage*, and he has secured grants from the Dutch Science Foundation (NWO) and the Police and Science program. Dr. Akyürek has supervised numerous PhD students and postdocs, fostering collaborations with institutions globally. He is actively involved in science outreach, including educational initiatives to demystify cognitive neuroscience for secondary students. His lab’s interdisciplinary approach integrates psychology, neuroscience, and computational modeling to address fundamental questions about human cognition.

• Neurophysiology
• Motor Learning
• Brain Stimulation Techniques
• +3 more

Associate Professor John Semmler is affiliated with the School of Biomedicine at the University of Adelaide's Faculty of Health and Medical Sciences. His research focuses on the neurophysiology of human movement, particularly using non-invasive brain stimulation techniques to study motor control across the lifespan. He leads an internationally recognized team investigating aging, exercise, and neurological injury effects on brain plasticity and motor function. Semmler holds senior administrative roles, including Discipline Lead in Physiology and President of the Australasian Brain Stimulation Society. Education: Not explicitly stated in provided texts. Research Funding: Over $3.6M in grants from NIH, ARC, and NHMRC, including recent ARC Discovery Projects and infrastructure awards. Teaching: Leads courses in Physiology, Neuromotor Control, and Medical Sciences, contributing to program design and curriculum mapping. His research interests emphasize brain oscillations, motor learning, and translational neurorehabilitation. Projects explore gamma and theta brain rhythms, exercise-induced neuroplasticity, and interventions for older adults' motor deficits. Semmler has mentored numerous PhD students and externally funded fellows, with a focus on bridging basic science and clinical applications. Grants & Funding Highlights: ARC DP250101672 ($574,888): Synchronised brain oscillations and motor function in older adults (2025–2028) NIH & NHMRC grants: Investigating plasticity mechanisms in aging and neurological conditions Lab & Team: Director of the Neurophysiology of Human Movement Group, focusing on non-invasive brain stimulation and clinical translation.

Armando D'AgostinoView profile

Associate Professor

• Perinatal Psychiatry
• Sleep Disorders
• Severe Mental Illness
• +1 more

Armando D'Agostino is Associate Professor in Psychiatry at University of Milan, conducting clinical work through ASST Santi Paolo e Carlo. His practice focuses on severe mental illness, perinatal psychiatry, and sleep disorders. Research areas include: Perinatal mental health prediction models Sleep architecture in psychiatric disorders Telepsychiatry implementation and outcomes Neurobiological mechanisms in eating disorders He coordinates multiple research projects including the Life-ON perinatal study. Recent publications examine gamma oscillations in bipolar disorder, machine learning for depression risk prediction, and telepsychiatry effectiveness during COVID-19. Manages undergraduate education and psychiatric residency training. Clinical work emphasizes women's mental health across reproductive stages and treatment-resistant conditions. Research collaborations involve neuroimaging, stem cell models, and psychopharmacology studies.

David BrainardView profile

Professor

• Behavioral Neuroscience
• Cognitive Neuroscience
• Sensation and Perception
• +3 more

David Brainard is the RRL Professor of Psychology at the University of Pennsylvania. He leads the Brainard Lab, which investigates human vision through experimental and computational approaches, focusing on how the visual system interprets object properties from light signals. His research integrates psychophysics, computational modeling, and machine learning to understand color perception, visual processing, and neural mechanisms. Education: BS in Physics from Harvard University; PhD in Psychology from Stanford University. Research interests include human vision, visual neuroscience, and computational modeling of visual processing. Specific areas: color appearance under varying illumination, object identification via color, and development of machine vision systems mimicking human performance. Recent work explores retinal physiology, chromatic aberration correction, and evolutionary constraints on color naming systems. Notable contributions include studies on retinal ganglion cell physiology in primates, image reconstruction frameworks, and quadratic models of visual cortex responses. Collaborations span neurobiology, optics, and cognitive science. Awards: None explicitly listed. Active advising of graduate students and postdocs including Callista Dyer, Semin Oh, and Raymond Warner. Labs/Teams: The Brainard Lab at Penn, with ongoing projects on retinal imaging, computational models of vision, and cross-disciplinary applications in machine learning.

• Statistics
• Data Science
• Bayesian Analysis
• +3 more

Gudmund Horn Hermansen is an Associate Professor at the University of Oslo, affiliated with the Department of Mathematics within the Faculty of Mathematics and Natural Sciences. His research focuses on advanced statistical methodologies, including Bayesian analysis, time series modeling, and applications in fields such as conflict dynamics, neuroscience, and environmental science. He is a member of the Statistics and Data Science research group and collaborates with interdisciplinary teams on projects involving uncertainty quantification and statistical inference. Key research interests include change-point analysis, hidden Markov models, astrocytic calcium signaling in Alzheimer’s research, and probabilistic forecasting. His work bridges theoretical statistics with practical applications, such as analyzing democratization processes and reservoir parameter interactions. Hermansen has contributed to over 30 peer-reviewed publications, emphasizing methodological innovations and interdisciplinary collaborations. Notable publications include studies on Bayesian hidden Markov models in conflict research, astrocytic signaling mechanisms in sleep regulation, and statistical frameworks for temporal heterogeneity analysis. He maintains an active role in academic service, including editorial contributions and conference participation.

Nancy KopellView profile

Professor

• Applied Mathematics
• Dynamical Systems
• Neuroscience
• +3 more

Professor Nancy Kopell is a distinguished academic and mathematician at Boston University, holding the William Fairfield Warren Distinguished Professorship in the Department of Mathematics. She is also Co-Director of the Center for BioDynamics and has affiliations with the Department of Biomedical Engineering. Her research focuses on applied mathematics and dynamical systems, particularly the dynamics of the nervous system, including neural rhythms, cognitive processing, and anesthesia effects. Dr. Kopell has made groundbreaking contributions to understanding how brain rhythms underpin behavior, cognition, and neurological disorders. Educational Background: She earned her A.B. from Cornell University (1963) and a Ph.D. in Mathematics from UC Berkeley (1967). She has held academic positions at MIT and Northeastern University before joining BU in 1986. Research Interests: Dr. Kopell's work spans theoretical neuroscience, mathematical biology, and nonlinear dynamics. Key areas include: Rhythms in neural networks (gamma, beta, theta) Cell assembly coordination and synchronization Neurophysiological mechanisms of attention, memory, and decision-making Mathematical modeling of anesthesia and consciousness Geometric theory of singularly perturbed systems Awards & Honors: National Academy of Sciences (1996) American Academy of Arts and Sciences (1996) SIAM Fellow (2009) MacArthur Fellowship (1990-1995) Weldon Memorial Prize (2006) Grants & Collaborations: She has led numerous interdisciplinary projects, including the Cognitive Rhythms Collaborative and studies on thalamocortical interactions. Current grants include NIH-funded research on brain rhythms in attention and sleep. Labs & Teams: Her Neuronal Dynamics Group at BU investigates neural oscillations and their roles in cognition. Collaborators include neuroscientists, engineers, and computational biologists.

Cheol LeeView profile

Professor

• Sustainable Food Systems
• Control Systems Engineering
• Optimization Techniques
• +5 more

Cheol Lee is a Professor in the Department of Industrial and Manufacturing Systems Engineering at the University of Michigan-Dearborn. His research focuses on sustainable food systems and eco-friendly industries, leveraging advanced control systems and optimization techniques. Since 2023, he leads a USDA-NIFA-funded $1.2M collaborative project on smart thermal processing of food. His academic journey includes a PhD in Mechanical Engineering from Purdue University and industry experience at Saint-Gobain. His interdisciplinary research bridges engineering and neuroscience, exploring brain dynamics through EEG analysis and network science. Recent studies investigate anesthesia effects, chronic pain mechanisms, and criticality in neural networks. Key contributions include frameworks for understanding consciousness transitions, delirium pathways, and network-based interventions for neurological disorders. Research interests span: sustainable industrial systems, reduced-order modeling, brain network criticality, and anesthetic state transitions. Notable projects include exploring cortical hypersensitivity in sickle cell disease and developing wearable EEG systems for clinical applications. His work integrates mathematical principles with empirical neuroscience, addressing topics like neuroplasticity, functional connectivity, and systems-level resilience in neural and economic crises. Current studies emphasize translational applications, such as caffeine-based interventions for postoperative delirium and computational models for brain modulation.

Amy BastianView profile

Professor

• Systems Neuroscience
• Cognitive Neuroscience
• Computational Neuroscience
• +13 more

Amy Bastian is a Professor of Neuroscience at the Kennedy Krieger Institute, affiliated with the Johns Hopkins University School of Medicine in Baltimore, MD. Her research focuses on understanding the mechanisms of human movement disorders, particularly those arising from cerebellar damage, stroke, and neurodevelopmental conditions such as autism. Her research interests span Systems, Cognitive, and Computational Neuroscience , with a focus on motor control, motor learning, locomotor adaptation, cerebellar function, and neurorehabilitation . She investigates how the brain controls movement and adapts after injury, using advanced biomechanical tools and robotic devices. The recent publications highlight a strong trend in cerebellar ataxia, motor adaptation, stroke rehabilitation, and developmental motor control . Her work combines experimental and computational approaches to understand sensorimotor integration and neural plasticity in both healthy individuals and patient populations. Predicting and correcting ataxia using a model of cerebellar function (2014) Prevalence of ataxia in children: a systematic review (2014) Predictive modeling by the cerebellum improves proprioception (2013) Repeated Split-Belt Treadmill Training Improves Poststroke Step Length Asymmetry (2013) Modulating locomotor adaptation with cerebellar stimulation (2012) Motor adaptation training for faster relearning (2011) Younger is not always better: development of locomotor adaptation from childhood to adulthood (2011) Amy Bastian mentors several graduate students and postdoctoral fellows, including Alex Vazquez, Andy Long, Heidi Weeks, Amanda Therrien, Ryan Roemmich, Nick Wymbs, and Nora Fritz. Many of her former trainees have secured faculty positions at institutions such as USC, University of Toronto, Washington University, and University of Pittsburgh. Her lab collaborates with neurologists, physical therapists, and biomedical engineers, and is supported by research grants focused on movement disorders and rehabilitation. Her lab employs state-of-the-art technologies including 3D motion tracking, EMG, force plates, KinArm robot, and split-belt treadmills to study walking, reaching, balance, and motor learning in both adults and children.

Carol A. BarnesView profile

Professor

• Aging
• Memory
• Hippocampus
• +5 more

Carol A. Barnes is a Regents' Professor in Psychology, Neurology, and Neuroscience at the University of Arizona. She holds the Evelyn F. McKnight Endowed Chair for Learning and Memory in Aging and directs both the Evelyn F. McKnight Brain Institute and the Division of Neural Systems, Memory and Aging. Her research focuses on the neurobiological basis of cognitive aging using animal models. Education: B.A. (Honors) in Psychology from the University of California, Riverside (1971); M.A. and Ph.D. in Psychology from Carleton University (1972, 1977). Her work integrates behavioral, anatomical, electrophysiological, and molecular approaches to study lifespan brain changes, emphasizing the hippocampus and cortical networks. Recent publications highlight aging-related neural network dysfunction, epigenetic mechanisms, and therapeutic interventions. She has received prestigious awards including election to the National Academy of Sciences (USA), AAAS Fellowship, and leadership roles in major neuroscience societies.

Pierre MégevandView profile

Professor

• Cognitive Neuroscience
• Epilepsy
• Human Neuron Physiology
• +7 more

Pierre Mégevand is a Professor and group leader at the Faculty of Medicine, University of Geneva, where he leads the Human Neuron Lab. His research is centered on understanding the neural mechanisms underlying human cognition and epilepsy, using intracranial recordings from awake patients. He is actively involved in both clinical and basic neuroscience research, with a focus on speech, language, and seizure dynamics. His research interests span cognitive neuroscience, clinical neurophysiology, and neuroengineering. He investigates how neurons encode sensory stimuli and behavioral responses, particularly in the context of speech and language. His lab uses stereo-EEG and microelectrode recordings to identify seizure-specific neural patterns and develop patient-tailored biomarkers for seizure detection and prediction. Key areas include multisensory integration, functional brain networks in epilepsy, and neural decoding of imagined speech. His recent publications reflect a strong trend in human intracranial electrophysiology, with studies on audiovisual illusions, electrode localization tools, functional networks in epilepsy, and neural correlates of speech and emotion. His work combines clinical data with advanced computational methods to uncover the dynamics of human brain function. Among his scientific contributions are methodological advancements and clinical insights in epilepsy monitoring and treatment. Though no specific awards are listed, his publications in top journals like Nature Communications and Epilepsia indicate high recognition in the field. Mégevand advises graduate students and postdoctoral researchers, including Lora Fanda and Jonathan Monney. His lab collaborates on grants related to neurotechnology, brain-computer interfaces, and epilepsy research, though specific grant details are not provided. He is part of a multidisciplinary team at the University of Geneva that includes engineers, neurologists, and neurosurgeons. The Human Neuron Lab, based at the Centre Médical Universitaire (CMU), is equipped for advanced human electrophysiology studies. The team includes a master assistant, graduate students, and postdoctoral researchers, reflecting an active and collaborative research environment focused on translational neuroscience.

Gary ArmstrongView profile

Associate Professor

• Neurodegenerative Disorders
• Rare Neurological Diseases
• Amyotrophic Lateral Sclerosis (ALS) Research
• +4 more

Gary Armstrong is an Associate Professor and Killam Research Scholar in the Department of Neurology and Neurosurgery at the Montreal Neurological Institute and Hospital (The Neuro), a research and teaching institute of McGill University. His laboratory focuses on understanding the disease mechanisms underlying Amyotrophic Lateral Sclerosis (ALS) and developing translational therapeutic approaches. Dr. Armstrong completed his M.Sc. (2003-2005) and PhD (2005-2009) at Queen's University, studying neuroprotective adaptations during stress exposure. His postdoctoral training was conducted at Université de Montréal (2010-2014) and CRCHUM (2014-2016), where he investigated synaptic defects in ALS zebrafish models. His research program centers on neurodegenerative disorders, particularly ALS. The Armstrong Laboratory utilizes zebrafish as an experimental model system to investigate synaptic function defects through electrophysiological, optogenetic, and imaging approaches. The lab employs CRISPR gene-editing technology to create precise animal models with disease-associated mutations found in ALS patients (TARDBP, FUS, CHCHD10, TBK1, DNAJC7, and SPTLC1). This approach preserves native expression patterns, unlike traditional transgenic models that rely on non-endogenous promoters. The laboratory also develops translational therapeutic strategies, including drug screening platforms and gene therapies using antisense oligonucleotides (ASOs). Analysis of Dr. Armstrong's publication record reveals a progression from fundamental mechanisms of neuroprotection and synaptic function to targeted ALS research and therapeutic development. His recent work emphasizes precise genetic modeling of ALS, mitochondrial involvement in disease pathogenesis, and the development of drug screening platforms that bridge cellular findings to in vivo therapeutic testing. The consistent use of zebrafish models across his career demonstrates a strategic approach to studying neurodegenerative processes in a genetically tractable vertebrate system. Killam Research Scholar Dr. Armstrong's research has advanced from basic mechanisms to clinical applications, with his work on Ciprofloxacin/Celecoxib combination therapy progressing through multiple clinical trial phases. This began with a Phase 2a trial (NCT04165850), followed by a Phase 2b trial (NCT05436678), and is now moving toward a Phase III trial coordinated between NeuroSense Therapeutics and Biogen. His laboratory has developed a zebrafish drug screening platform that provides in vivo readouts of therapeutic recovery of motor and synaptic function, effectively bridging cellular model research with animal model testing for preclinical validation. The Armstrong Laboratory at The Neuro maintains a strong focus on translating basic research findings into therapeutic applications for ALS. Current projects include developing endogenously expressed gene-edited zebrafish models, investigating mitochondrial dysfunction in ALS pathogenesis, and screening potential therapeutic compounds. The laboratory actively collaborates with clinical teams at The Neuro's ALS clinic, ensuring research directions remain aligned with patient needs and clinical observations. Future work is directed toward advancing gene therapy approaches using antisense oligonucleotides and expanding the drug screening platform to identify novel therapeutic candidates for ALS and related neurodegenerative disorders.

Nele Wild-WallView profile

Professor

• Cognitive Psychology
• Neuropsychology
• Geropsychology
• +18 more

Prof. Dr. Nele Wild-Wall is a Professor of Research Methods and Diagnostics in Psychology at the Faculty of Communication and Environment, Rhine-Waal University of Applied Sciences. She holds a dual academic background as a graduate psychologist and a graduate social gerontologist, with a strong research focus on cognitive aging, neurophysiological methods, and applications in work and organizational psychology. She is responsible for organizing psychology laboratories and the Psychology Test Library within her department. Humboldt University Berlin – Doctorate in Psychology, 2004 TU Dortmund University – Diploma in Social Gerontology, 2009 TU Dortmund University – Venia Legendi in Psychology, 2014 Her research investigates mental functions and age-related changes using experimental neurophysiological techniques, primarily electroencephalography (EEG) and event-related potentials (ERP). Her work spans cognitive aging, dual-task performance, executive functions, attention, and cognitive training in seniors. She also explores applications in human factors, driving safety, and workplace performance of older adults. Her most recent publications reflect a consistent focus on aging, cognition, and neurophysiological assessment, with research on dual-task performance, working memory, feedback processing, and cognitive flexibility. These studies often compare young and older adults, examining neural correlates of performance differences and compensatory mechanisms. While no scientific awards are explicitly mentioned in the provided text, her sustained publication record in high-impact journals and participation in national and international conferences indicate active scholarly engagement. Prof. Wild-Wall has collaborated extensively with researchers at the Leibniz Institute for Working Environment (IfADo) in Dortmund, particularly with Prof. Dr. Michael Falkenstein. Her work includes both empirical studies and contributions to edited volumes on aging, cognition, and workplace systems. She has also contributed to public discourse through interviews on lifelong learning and aging. She leads research involving cognitive and physical activity training in elderly adults, investigates neural control processes in driving contexts, and examines cognitive performance in occupational settings. Her interdisciplinary approach integrates psychology, neuroscience, and ergonomics to support healthy aging and optimal human-system interaction.

Lijing XinView profile

Assistant Professor

• Magnetic Resonance Spectroscopy (MRS)
• Brain Energy Metabolism
• Neuroimaging
• +3 more

Lijing Xin is an Assistant Professor at the Department of Physics and a research staff scientist at the Center for Biomedical Imaging (CIBM) at Ecole polytechnique fédérale de Lausanne (EPFL), Switzerland. She teaches courses on Biomedical Imaging and Translational MR Neuroimaging, while also contributing to academic administration. PhD in Physics (2010, EPFL) Master's Project (2002-2005) on MRI instrumentation Her research focuses on high-field magnetic resonance spectroscopy (MRS) and MRI for studying brain function and neurological diseases. She develops novel acquisition and quantification methods for 1 H, 13 C, and 31 P nuclei, particularly on 7T clinical platforms . Her work bridges preclinical and clinical research , with collaborations in psychiatry to explore pathophysiology and biomarkers for disorders like schizophrenia and mood disorders. Recent publications include studies on epilepsy , Alzheimer's disease , brain energy metabolism , and neurochemical profiling using advanced MRS and deep learning for psychosis classification. She has contributed to RF coil design , macromolecule suppression , and metabolic pathway analysis across multiple disciplines. She advises PhD students and collaborates on interdisciplinary projects involving neuroimaging hardware , metabolic disease research , and psychiatric biomarker identification . Her lab at EPFL CIBM-AIT develops cutting-edge techniques for high-resolution brain metabolism analysis and clinical translation .