Dr. Gary Glover is a Professor of Radiology (Radiological Sciences Lab) at Stanford University , with courtesy appointments in Psychology and Electrical Engineering. His work focuses on the physics and mathematics of MRI, particularly rapid scanning methods using spiral k-space trajectories for functional brain imaging and multimodal neuroimaging (fMRI/EEG/fPET/fNIRS) combined with neuromodulation techniques like TMS and transcranial ultrasound. Academic Appointments: Radiology, Psychology, Electrical Engineering Professional Affiliations: Bio-X, Stanford Cancer Institute, Wu Tsai Neurosciences Institute Research Interests include: Development of blood oxygen level-dependent (BOLD) and viscoelastic contrast in MRI Functional MR Elastography for brain activation mapping Optimization of MR-ARFI for transcranial ultrasound guidance Automated spinal cord segmentation (EPISeg) using machine learning Scientific Awards : National Academy of Engineering (2013) Gold Medal, ISMRM (2000) Steinmetz Award, General Electric (1985) Lauterbur Lecture, ISMRM (2018) Recent Publications analyze: Fast fMRI sampling and spurious signal correction Dissociated patterns in default mode network anti-correlations Neural correlates of collaborative behavior in triadic fMRI Salience network contributions to depression pathophysiology
Serge O. Dumoulin is a Professor of Perception, Cognition, and Neuroscience at Utrecht University and Vrije Universiteit Amsterdam. He leads the Computational Cognitive Neuroscience and Neuroimaging group at the Netherlands Institute for Neuroscience and serves as Director of the Spinoza Centre for Neuroimaging , a collaborative facility involving KNAW, AMC, VUMC, and VU Amsterdam. Education: M.Sc. in Biology (Utrecht University), Ph.D. in Neurology and Neurosurgery (McGill University) Research focuses on the intersection of perception, cognition, and neuroimaging, particularly the human visual system. He employs ultra-high field (7T) fMRI, computational modeling, and behavioral studies to explore neural mechanisms of visual perception, attention, and numerical cognition. His work has applications in clinical disorders and methodological advancements like the pRF method, used globally in 100+ institutions. Publications span neuroscience, neuroimaging, and cognitive processes, with a 2023 Advances in MRI Technology paper emphasizing gray-matter optimized fMRI. His 2018 Neuroimage article discusses systematic pRF variations, while a 2021 PNAS study links divisive normalization to visual hierarchy. Awards: Ammodo KNAW Award (2015), NWO Vidi/Vici grants, Neuroimage Editors' Choice Award (2013) Teaching includes courses at Vrije Universiteit Amsterdam on perception, neuroscience, and fMRI data analysis. He emphasizes coding (Matlab/Python) in student internships.
Dr. Ben Harvey is an Associate Professor (with Ius Promovendi) in the Perception Group of the Department of Experimental Psychology at Utrecht University, Netherlands, within the Faculty of Social and Behavioural Sciences. He is based at the Helmholtz Institute and can be contacted at b.m.harvey@uu.nl. Harvey completed his DPhil at Oxford University with Professor Oliver Braddick in 2009, followed by postdoctoral work with Professor Serge Dumoulin at Utrecht. In 2015, he moved to Coimbra on a starter grant from the Portuguese Foundation for Science and Technology before returning to Utrecht in 2016 as an Assistant Professor. He was promoted to Associate Professor in 2019 and has led his own research group since 2015. Harvey's research focuses on characterizing sensory and cognitive systems in the human brain, particularly neural responses and computations within these systems. His work combines cutting-edge neuroimaging approaches with computational modeling and behavioral experiments. Initially studying the early visual system as a model of neural processing, he extended invasive animal neurophysiological approaches to non-invasive human neuroimaging. His recent work investigates neural responses underlying cognition in the human association cortex, examining how visual space and number processing differs between cultures and in clinical disorders. His fingerprint reveals expertise in Functional Magnetic Resonance Imaging, Numerosity, Receptive Field, Visual Cortex, Population Receptive Field, Nerve Potential, Early Visual Cortex, and Topographic Maps. His publication record demonstrates significant impact, with works like 'Topographic representation of numerosity in the human parietal cortex' (2013) receiving over 360 citations. His research spans visual neuroscience, with emphasis on how the brain processes visual information, attention mechanisms, and numerical cognition, revealing generalized quantity processing systems in the human brain. Award for highest-rated abstract (2013) Brain Centre Rudolph Magnus Research Award (Best Paper of the Year) (2014) Causal link between cortical organization and conscious perception: human fMRI and electrophysiology (2009, 2010) Harvey has been actively engaged in knowledge dissemination, with multiple invited talks at institutions including INSERM in Paris (2016) and the University of Parma (2015). His research has received significant media attention, with interviews on National Public Radio (NPR) USA, Livescience.com, and Science Magazine in 2013. Beyond academic publications, he writes popular science articles exploring the relationship between visual neuroscience and visual arts. As part of the Helmholtz Institute Experimental Psychology research program, Harvey collaborates widely to investigate visual space and number processing across different populations, contributing to our understanding of how these cognitive functions vary between cultures and in clinical disorders.
Hongmi Lee is an Assistant Professor in the Department of Psychological Sciences at Purdue University. Her research focuses on human long-term memory , naturalistic memory , and functional neuroimaging , using behavioral experiments and fMRI to explore how the brain encodes and retrieves complex real-world experiences. PhD, New York University (2018) Lee investigates how memories for naturalistic events are structured in the brain, emphasizing the roles of the posterior medial cortex and parietal cortex in memory reactivation. Her work examines semantic integration, contextual binding, and neural dynamics during spontaneous recall and future thinking. The 15 most recent articles highlight trends in episodic retrieval , event segmentation , and neural activity patterns during memory processing. Key methodologies include fMRI , naturalistic stimuli , and network science . Labs: Lee Memory and Cognition Lab
Frank Tong is a Professor of Psychology at Vanderbilt University in the College of Arts and Science. He leads an active research laboratory investigating the neural mechanisms of human visual perception, cognition, attention, and working memory. His work integrates behavioral experiments, high-resolution fMRI, and computational modeling to decode how visual information is represented and maintained in the brain. Department: Department of Psychology Office: Wilson Hall, Room 531 Email: frank.tong@vanderbilt.edu Phone: 615-322-1780 Education: B.S. in Psychology, Queen's University, Kingston, Canada (Advisor: Barrie Frost) Ph.D. in Psychology, Harvard University (Advisors: Ken Nakayama, Nancy Kanwisher) Postdoctoral Fellow, UCLA (McDonnell-Pew Fellowship, Advisor: Steve Engel) Frank Tong's research centers on understanding how early visual representations interact with higher cognitive functions such as attention and working memory. He has developed pioneering fMRI decoding methods to reconstruct visual features like orientation and object categories from brain activity patterns in the human visual cortex. His lab has demonstrated how these techniques can reveal the neural bases of visual working memory and object-based attentional selection. Current work includes using deep convolutional neural networks as models of human visual processing. His recent publications show a consistent focus on decoding mental states, visual features, and memory contents from brain activity, particularly using fMRI pattern analysis. The research spans visual working memory, attentional modulation, scene perception, and the application of machine learning to neural data. These studies frequently appear in top journals such as Nature , Nature Neuroscience , and Annual Review of Psychology . Scientific Awards: McDonnell-Pew Training Fellowship (1999) Robert K. Root Preceptorship, Princeton (2003) Scientific American Top 50 Award (2004) Young Investigator Award, Cognitive Neuroscience Society (2006) Chancellor's Award for Research, Vanderbilt (2008) Young Investigator Award, Vision Sciences Society (2009) Troland Research Award, National Academy of Sciences Frank Tong has advised numerous graduate students and postdoctoral fellows, many of whom have gone on to successful academic and research careers. His lab has received significant research funding to support its work in cognitive neuroscience and brain imaging. He has also served on the editorial board of the Annual Review of Psychology and as a board member of the Vision Sciences Society, reflecting his leadership in the field. He teaches undergraduate courses including Psy 3760 (Mind and Brain), Psy 3765 (Social Cognition and Neuroscience), and Psy 3780 (The Visual System). His lab continues to explore the interplay between early visual processing and higher cognition using advanced neuroimaging and computational techniques.
Hernan G. Rey, PhD, is an Assistant Professor in the Department of Neurosurgery at the Medical College of Wisconsin (MCW) and the Marquette-MCW Joint Department of Biomedical Engineering. He previously held an Assistant Professor position at Baylor College of Medicine until July 2022. His research focuses on understanding human episodic memory, improving epilepsy diagnosis and treatment, and developing tools for electrophysiological data analysis. Rey's lab records single-neuron activity and intracranial EEG from epilepsy patients to investigate brain mechanisms underlying memory and neurophysiological processes. Education: PhD in Engineering, University of Buenos Aires (2009) Postdoctoral Fellowship in Biomedical Informatics, University of Leicester (2012–2015) Bachelor's in Electronics Engineering, University of Buenos Aires (2002) Research Interests: Dr. Rey explores anterior temporal lobectomy, drug-resistant epilepsy, electrophysiology, hippocampal function, machine learning applications in neuroscience, and signal processing. His work bridges clinical neurosurgery, biomedical engineering, and cognitive neuroscience to advance both fundamental understanding and clinical interventions. Publications: His recent work highlights studies on parietal cortex function in action monitoring, single-neuron responses in memory encoding, and neurophysiological correlates of depression. These reflect a focus on translational neuroscience and interdisciplinary collaboration. Awards: EPSRC Rising Star Award (2014) Labs/Teams: The ReyLab drives innovation in electrophysiological data acquisition and analysis, emphasizing clinical application for epilepsy and memory disorders.
Mathew Yarossi is an Assistant Professor at Northeastern University with a joint appointment in the College of Engineering (Electrical and Computer Engineering) and Bouvé College of Health Sciences (Physical Therapy, Movement, and Rehabilitation Sciences). He holds a PhD from Rutgers University (2017) and joined Northeastern in 2022. Research Focus: His work bridges movement neuroscience, clinical research, and engineering, with emphasis on AI-driven solutions for rehabilitation. Key areas include physiological signal processing, neuromuscular control, and human-robot interaction. His NSF-funded project on dyadic object handover with robots highlights his interdisciplinary approach. Publications: Recent work explores VR-based interventions, EMG-driven prosthetics, and computational modeling of transcranial stimulation. His 2025 patent on virtual reality experiment design underscores his translational impact. Awards: Holds a patent for VR experiment systems (2025). Advising & Grants: Mentors students in PEAK Experiences programs and collaborates with the U.S. Army on AI applications in combat systems. His lab is part of the Institute for Experiential AI.
Karin H. James is a Professor and Director of Graduate Studies in the Department of Psychological and Brain Sciences at Indiana University Bloomington's College of Arts and Sciences, actively reviewing applications for Fall 2026 admissions. Her research program investigates how self-generated actions shape cognitive development through neural mechanisms. Her educational background includes: Post Doctoral Fellow, Vanderbilt University (2001-2003) Ph.D. in Psychology, University of Western Ontario (2001) M.A. in Psychology, University of Western Ontario (1998) B.S. in Psychology, University of Toronto (1996) B.A. in History, University of Toronto (1991) Dr. James' research centers on the neural correlates of learning, specifically how motor experience influences visual recognition across domains including object recognition, reading acquisition, language learning, and mathematical understanding. Using fMRI and behavioral methods, she examines how sensorimotor interactions during symbol production (e.g., handwriting) reconfigure brain networks for perception. Her work demonstrates that visual-motor contingency during learning creates lasting neural changes that enhance recognition, with implications for educational practices in literacy and numeracy development. Analysis of her 2018-2021 publications reveals consistent focus on embodied cognition principles, particularly how action-perception loops establish neural representations. Key themes include gesture-based learning in mathematics, visual-motor integration in symbol recognition, and category formation mechanisms, bridging cognitive neuroscience with developmental psychology through innovative methodologies like the MRItab neuroimaging tool. Dr. James maintains active membership in the Society for Research in Child Development (2007-present), Cognitive Neuroscience Society (2004-present), and Vision Sciences Society (2000-present), reflecting her interdisciplinary approach to learning mechanisms. As Director of Graduate Studies, she oversees program development and student mentorship while leading the Cognition and Action Neuroimaging Lab. Her research infrastructure includes specialized neuroimaging tools developed for naturalistic experimental paradigms, supporting investigations into how embodied experiences shape cognitive architecture from childhood through adulthood. The Cognition and Action Neuroimaging Lab develops cutting-edge methodologies like the MRItab touchscreen system to study naturalistic learning during fMRI scanning, focusing on how sensorimotor experiences during symbol production reconfigure neural networks for perception and recognition across developmental stages.
Kartik Sreenivasan is Associate Professor of Psychology and Associate Program Head for Undergraduate Studies in Psychology at New York University Abu Dhabi (NYUAD), with an affiliation in Biology. He is also a Global Network Associate Professor of Psychology, reflecting his role across NYU’s global campuses. His research is centered on the neurobiological basis of working memory and goal-directed cognition. His educational background includes a BA in Psychology from Yale University and a PhD in Neuroscience from the University of Pennsylvania under Dr. Amishi Jha. He completed postdoctoral training at UC Berkeley with Dr. Mark D’Esposito and joined NYUAD in 2014. Sreenivasan’s research focuses on how the brain maintains and manipulates information in working memory. Key interests include dynamic neural coding, feature binding, effective connectivity, and the transformation of memory into action. His lab employs fMRI, MEG, EEG, TMS, and behavioral paradigms to study both healthy and clinical populations. The most recent publications highlight trends in distributed neural systems, phase-coding mechanisms in working memory, and the role of subcortical structures. His work increasingly emphasizes network-level interactions, oscillatory dynamics, and the flexibility of memory representations under interference and attentional demands. Sreenivasan has received no explicitly mentioned scientific awards in the provided text. He actively mentors PhD students (Ying Zhou, Shanshan Li, Hannah Chu) and supervises undergraduate capstone projects. His lab has been supported by institutional funding, though specific grants are not listed. He teaches core courses such as Biopsychology, Cognitive Neuroscience, and Capstone Research in Psychology and Biology. The Sreenivasan Lab at NYUAD is a vibrant research group focused on understanding the neural underpinnings of cognition. It includes postdocs, research assistants, PhD students, and undergraduates, and has produced numerous publications in high-impact journals. The lab investigates topics such as working memory organization, neural connectivity, and the interplay between perception and memory.
Sergio Agnoli is Associate Professor of General Psychology at the Department of Life Sciences, University of Trieste. He serves as Director of the Dynamics of Creativity Lab (DoC Lab) and Co-Coordinator of the Doctoral Course in Neuroscience and Cognitive Sciences. Academic Affiliation: University of Trieste Research Institutions: Marconi Institute for Creativity (Senior Scientist) Editorial Roles: Associate Editor of Journal of Creative Behavior and Possibility Studies & Society His research focuses on the cognitive, emotional, and neurophysiological substrates of creative thinking . Key methodologies include EEG for temporal brain dynamics, eye-tracking for attentional mechanisms, and neurofeedback/tDCS for causal brain-behavior investigations. Current projects examine contextual inspiration, creative frustration dynamics, and multidimensional creativity models. Recent publications highlight advancements in: Neurophysiological prediction of creative originality via EEG alpha power Emotional intelligence in creative resilience Contextual modulation of idea generation Theoretical frameworks integrating cognitive-emotional factors Eye-tracking analysis of attentional filtering in creativity Awarded the Gabriele Di Stefano Prize (Italian Psychology Association) and featured on NeuroImage cover (Vol. 207). Active in international societies including ISSCI, SfNC, and PSN. Current research involves European FP7 and Italian PRIN projects, with interdisciplinary collaborations across neuroscience, psychology, and education. The DoC Lab maintains partnerships with institutions in Bologna, Graz, Penn State, London, Padua, and Georgetown.
Marc Sommer is a Professor of Biomedical Engineering and Psychology & Neuroscience at Duke University. He directs the Duke Institute for Brain Sciences and contributes to the Duke Initiative for Science & Society. His research focuses on neural circuits for cognition , particularly how the brain maintains visual perception and behavior through interactions between frontal cortex and subcortical regions. Key Techniques : Single neuron electrophysiology, optogenetics, psychophysics, computational modeling Translational Goals : Improving transcranial magnetic stimulation (TMS) and viral vector therapies for psychiatric and motor disorders Scientific Awards : Capers and Marion McDonald Award for Excellence in Teaching and Research (2021) Capers and Marion McDonald Award for Excellence in Mentoring and Advising (2017) Bass Fellow, Duke University (2017) Research Fellowship in Neuroscience, Alfred P. Sloan Foundation (2005) Marc Sommer's recent publications span visual stability across saccades , optogenetics in primates , TMS mechanisms , and viral vector applications . His work bridges cognitive neuroscience and biomedical innovation , with significant contributions to corollary discharge theory and neural circuit mapping . Lab Collaborations : Interdisciplinary partnerships across Duke University and external institutions, integrating engineering , neurobiology , and computer science to decode primate brain circuitry.
Christian Grefkes-Hermann serves as Professor of Neurology at Goethe University Frankfurt's Faculty of Medicine, based at University Hospital Frankfurt's Center of Neurology and Neurosurgery. His research targets stroke-induced brain network disruptions and develops novel rehabilitation strategies using non-invasive brain stimulation to restore motor function. His work focuses on neural plasticity, brain connectivity, and stroke rehabilitation through multimodal approaches including structural/functional MRI, EEG, transcranial magnetic stimulation (TMS), and machine learning. He investigates how interhemispheric network reorganization enables functional recovery and develops biomarkers for personalized rehabilitation protocols. Analysis of his publication history reveals an evolution from foundational studies on crossmodal processing (2002) to clinical applications in stroke recovery, with recent work emphasizing individualized biomarkers and frontoparietal connectivity as predictors of motor recovery. This trajectory demonstrates a consistent translation of basic neuroscience into clinical neurorehabilitation. Professor Grefkes-Hermann leads a research team within the Center of Neurology and Neurosurgery dedicated to bridging neural network science with practical rehabilitation solutions for stroke survivors, addressing Germany's challenge of 200,000 annual stroke cases where over 50% experience permanent disability.
Michael A. Silver is an Associate Professor in the School of Optometry and Vision Science at UC Berkeley, with affiliations in the Helen Wills Neuroscience Institute and the Department of Psychology. His research focuses on cognitive neuroscience, particularly the neurophysiological and neurochemical substrates of visual perception, attention, and learning. He leads the Silver Lab, which investigates topics such as visual attention mechanisms, perceptual learning, cholinergic pharmacology, and the effects of psychedelics on brain function. Silver holds a Ph.D. from UCSF and has been recognized with grants from the NIH, NSF, and private foundations. Education: B.S. Biological Sciences and Chemistry (Carnegie Mellon, 1991); Ph.D. Neuroscience (UCSF, 1999). Awards include the Howard Hughes Medical Institute Predoctoral Fellowship and Hellman Family Faculty Fund. He mentors graduate students and postdoctoral researchers in vision science and neuroscience. Research interests span visual neuroscience, including the impact of psychedelics (e.g., psilocybin) on neural substrates of perception and cognition. His lab collaborates with institutions like Stanford University and UC Irvine to explore therapeutic applications of psychedelics and age-related auditory decline. Key projects include cholinergic modulation of attention and perceptual learning, and functional subdivisions of the lateral geniculate nucleus. Recent articles highlight studies on attentional modulation of visual crowding, effects of psychedelics on predictive coding, and GABA levels in amblyopia. Silver teaches courses on visual cognitive neuroscience and supervises over 20 graduate students and postdocs. His grants total over $5M, supporting work on nicotine therapy for auditory decline and psychedelic science.
Associate Professor Yan Wong is a faculty member at Monash University's Department of Electrical and Computer Systems Engineering and Monash Biomedicine Discovery Institute. His research focuses on neural prosthetics, brain-machine interfaces, and restoring sensory functions through cutting-edge neural recording and stimulation techniques. He leads the Neurobionics Laboratory, advancing technologies like the Gennaris vision system, a wireless cortical implant for restoring vision in the blind. Yan holds a PhD in Biomedical Engineering from UNSW and has conducted postdoctoral research at New York University and the University of Melbourne. His work bridges engineering and medicine, addressing critical healthcare challenges such as quadriplegia, epilepsy, and hearing loss. He actively supervises students and contributes to teaching biomedical engineering courses at Monash, fostering the next generation of researchers. Key research interests include visual cortex stimulation, cochlear implants, spike-LFP interactions in movement planning, and endovascular neural interfaces. He has led or collaborated on multiple ARC-funded projects, including studies on neural prosthetic efficacy, chronic pain modulation, and visual attention mechanisms. His interdisciplinary approach integrates neuroscience, biomedical engineering, and clinical translation, aiming to deliver impactful medical technologies. Yan’s contributions have advanced neural prosthetics toward commercialization, with a focus on improving healthcare outcomes through innovative biomedical solutions.
Douglas A. Nitz is Professor and Chair of Cognitive Science at UC San Diego. His research program explores neural mechanisms underlying spatial navigation, memory formation, and decision-making processes across cortical and hippocampal circuits. Research Approach: Combines electrophysiological recordings, behavioral analysis, and computational modeling to decipher how distributed brain networks represent spatial information and support memory-guided behaviors. Current Focus: Neural coding principles in parietal-hippocampal networks during navigation tasks, with emphasis on path integration, landmark encoding, and route planning mechanisms.
