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David CorinaView profile

Professor

• Neurolinguistics
• Cognitive Neuroscience
• Signed Language (ASL)
• +4 more

David Corina is Professor of Linguistics and Psychology at the University of California, Davis and faculty member at the Center for Mind and Brain, where he directs the Cognitive Neurolinguistics Laboratory. His research investigates cognitive and neural mechanisms of language processing with emphasis on signed (ASL) and spoken languages across deaf and hearing populations. Education: Ph.D. in Psychology and Cognitive Science, UC San Diego (1991) M.A. in Linguistics, Gallaudet University (1983) B.S. in Educational Psychology, New York University (1982, magna cum laude) His work compares language processing in deaf ASL users and hearing speakers, examining developmental effects in deaf children, neurological impairments, and human action processing. Methodologically, he integrates behavioral experiments, EEG/ERP, fMRI, and neuropsychological assessments to elucidate neural plasticity in language systems. Recent publications (2021-2024) reveal expanding focus on cochlear implant outcomes in children, structural brain differences in multilinguals, and aging effects in signers. Electrophysiological approaches dominate current work, exploring ASL-English bilingualism, reading comprehension, and neural adaptations through ERP/fMRI paradigms. No scientific awards were documented in the provided materials. Professor Corina serves as ad hoc editor for numerous scholarly journals, foundations, and funding agencies, indicating significant academic service. Specific research grants and student advising details remain undocumented in available sources. He directs the Cognitive Neurolinguistics Laboratory, which employs interdisciplinary approaches combining linguistics, psychology, and neuroscience to study language neural bases through comparative signed/spoken language research.

Keren HaroushView profile

Assistant Professor

• Social Neuroscience
• Decision-Making Mechanisms
• Neurophysiology
• +3 more

Keren Haroush is an Assistant Professor in the Department of Neurobiology at Stanford University, affiliated with the Wu Tsai Neurosciences Institute, Bio-X, and the Maternal & Child Health Research Institute (MCHRI). Her research focuses on the neuronal basis of dynamic social interactions, exploring neural circuits underlying cooperation, empathy, fairness, and reciprocity. Ph.D. in Neurobiology, The Hebrew University, Jerusalem, Israel Current research emphasizes decoding social behavior through large-scale neural recordings, game-theory-based tasks, and computational approaches. Key areas include understanding distributed neural networks, developing a roadmap of the social brain, and advancing treatments for social behavior impairments in conditions like Autism Spectrum Disorders and Schizophrenia. Recent publications investigate decision-making variability (2021), prefrontal cortex roles in subjective choices (2019), and cross-modal attentional mechanisms (2011, 2010). Her work integrates brain-computer interfaces, machine vision, and deep learning. Scientific honors include: NIH Director's New Innovator Award (2020-2025) Whitehall Foundation Research Grant (2020-2023) Sloan Research Fellow (2019-2021) NARSAD Young Investigator Grant (2017-2019) SFARI Bridge to Independence Award (2016-2022) Peter and Patricia Gruber International Research Award (2015) Keren Haroush’s laboratory mentors doctoral candidates (Matthew Bauer), postdoctoral fellows (Sia Ahmadi, Seyed Javad Saghravanian), and graduate students (Andrea Gaspert, Yun Hwang, Hannah Lee). Courses taught include Cellular/Molecular Neuroscience Laboratory (NEPR 288) and advanced research training in neurobiology.

• Cognitive Neuroscience
• Perceptual Psychology
• Multisensory Integration
• +5 more

Petra Vetter is an Assistant Professor at the Department of Psychology, Faculty of Letters and Human Sciences, University of Fribourg. Her research focuses on multisensory integration, spatial cognition, and perceptual psychology, particularly investigating how auditory and tactile information guides visual perception and motor actions in congenitally blind individuals and sighted populations. Email: petra.vetter@unifr.ch Office: RM 02 bu. S-1.141, Rue P.A. de Faucigny 2 ORCID: https://orcid.org/0000-0001-6516-4637 Research interests: Cognitive neuroscience research examining cross-modal perception, predictive coding in visual cortex, sensory substitution, and the role of semantic congruence in perceptual processing. Current projects include Mapping Space in the Blind Brain (2024-2029) using 7 Tesla fMRI and TMS to investigate spatial representation mechanisms, and How audition enhances visual perception and guides eye-movements (2020-2025) studying semantic sound influences on visual processing and eye movements. Recent publications demonstrate expertise in neuroscience, cognitive psychology, and auditory-visual integration, with articles in Cognition , Current Biology , and Nature Reviews Psychology . Research applications include developing visual prostheses, improving sensory substitution devices, and optimizing multimedia environments.

Jiawei LiView profile

Research Fellow

• Cognitive Neuroscience
• Neural Dynamics
• Speech Processing
• +4 more

Jiawei Li is a Postdoctoral Researcher at Freie Universität Berlin's Department of Education and Psychology in the Neurocognitive and Experimental Psychology group (Neural Dynamics of Visual Cognition lab) since November 2022, supported by an Alexander von Humboldt Fellowship (Henriette Herz Scouting Program, 2022-2024). His educational background includes: B.Sc. from Tsinghua University, School of Social Science, Beijing Ph.D. in Psychology from Tsinghua University (2022) under Dan Zhang Dr. Li investigates how the brain extracts meaning from different sensory modalities (visual vs. auditory) to achieve similar comprehension. His work employs high-temporal resolution EEG, temporal response functions, canonical correlation analysis, and deep neural networks to model neural dynamics during naturalistic speech processing and cross-modal semantic representation. Key methodologies include multivariate pattern analysis of neural data coupled with natural language processing techniques. His publication record reveals a concentrated focus on neural mechanisms of speech comprehension, with consistent exploration of attention modulation, noise robustness, and neural coupling phenomena. The research trajectory demonstrates progression from basic neural oscillation mechanisms (2017-2018) to sophisticated cross-subject neural coupling analyses in naturalistic paradigms (2021-2023). Scientific recognition includes: Alexander von Humboldt Fellowship (Henriette Herz Scouting Program), 2022-2024 Funded by the Humboldt Foundation, Dr. Li leads two projects: investigating temporal dynamics of cross-modal semantic representations (reading vs. listening to stories) and spatiotemporal emergence of non-linguistic semantic information. He collaborates with Prof. Radoslaw Martin Cichy and Dr. Jana Lüdtke within the Neurocognitive and Experimental Psychology research group. He operates within the Neural Dynamics of Visual Cognition lab, which specializes in EEG-based investigations of naturalistic cognition using computational modeling approaches. The lab environment emphasizes interdisciplinary collaboration between neuroscience, psychology, and computational modeling to decode brain mechanisms during ecologically valid tasks.

Lauri ParkkonenView profile

Professor

• Magnetoencephalography (MEG)
• Optically Pumped Magnetometers
• Social Neuroscience
• +4 more

Lauri Parkkonen is Professor in the Department of Neuroscience and Biomedical Engineering at Aalto University. His research advances non-invasive neuroimaging through innovations in MEG instrumentation, real-time analysis, and hyperscanning techniques to study social interaction, conscious perception, and brain plasticity. Key contributions include: Development of optically-pumped magnetometer arrays for next-generation MEG Pioneering hyperscanning methods for dual-brain social neuroscience Real-time neurofeedback paradigms for plasticity and clinical applications Normative modeling approaches for traumatic brain injury detection Open-source tools for MEG/EEG analysis (MNE-Python) His group studies neural mechanisms of empathy, attention, and cross-species emotion recognition using multivariate decoding. Current projects optimize cortical parcellation for MEG connectivity analysis and develop MRI-free source imaging techniques. Honors include an ERC Starting Grant (2015) and coordination of Finland's functional brain-imaging biobank consortium.

Sascha FrühholzView profile

Professor

• Cognitive psychology
• Neuroscience
• Neuropsychology
• +9 more

Sascha Frühholz is a Full Professor at the Department of Psychology, University of Oslo, Norway. He previously held roles including SNSF Professor at the University of Zürich (2015–2020) and Associate Professor at the University of Oslo (2020). His research focuses on cognitive psychology, neuroscience, and neuropsychology, with specialties in digital communication, auditory emotion recognition, and forensic analysis of digital fraud. He leads projects on deepfake detection, neurocognitive mechanisms of auditory perception, and the evolutionary basis of affective signaling. Education background includes a PhD from the University of Bremen (2008–2010) and postdoctoral research at institutions like the Swiss Center for Affective Sciences (2013–2015). Notable awards include the SNSF Professorship (2015) and a teaching award nomination (2005). His research interests span digital voice technology risks, psychoacoustics, and ancient instrument acoustics. Recent articles highlight interdisciplinary work in neuroscience, AI ethics, and clinical applications like cochlear implant studies. Awards include the SNSF Professorship and recognition for teaching excellence. His lab, the Cognitive and Affective Neuroscience Lab (CANlab), explores auditory emotion processing and brain-computer interfaces.

Adeen FlinkerView profile

Associate Professor

• Speech
• Language
• Electrocorticography
• +3 more

Adeen Flinker is an Associate Professor in the Department of Neurology at NYU Grossman School of Medicine. Their research focuses on speech, language, and auditory processing, using techniques like electrocorticography and signal processing to understand neural mechanisms underlying communication. They lead the Flinker Lab and collaborate on clinical studies involving patients with implanted intracranial electrodes. Education: PhD from University of California, Berkeley; Postdoctoral Training at New York University under David Poeppel. Research interests include speech production, auditory feedback, and neural networks governing language. Recent work explores speech errors induced by cortical stimulation and the role of alpha oscillations in visual cortex function. Over 50 publications highlight contributions to brain mapping and speech neuroscience. Clinical trials focus on speech and motor dysfunction in Parkinson’s patients undergoing deep brain stimulation. The lab participates in studies assessing dysarthria severity and auditory feedback mechanisms. No awards listed but maintains an active research portfolio with NYU Langone affiliations.

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.

Robert Thomas KnightView profile

Professor

• Cognitive Neuroscience
• Neuropsychology
• Memory and Attention
• +4 more

Robert Thomas Knight is a Professor of Psychology and Neuroscience at the University of California, Berkeley. He is affiliated with the Knight Cognitive Neuroscience Lab , focusing on prefrontal cortex function, attention, memory, and neural mechanisms in human cognition. His work combines electrophysiological recordings (ECoG/sEEG), behavioral studies, and clinical neurology to explore goal-directed behavior and brain-machine interfaces. Education: M.D., Northwestern University Research Interests: Neural basis of attention and memory Intracranial recordings in neurosurgical patients Role of prefrontal cortex in social and cognitive behavior Development of neural prosthetics for motor and language disorders Current Projects: Investigating prefrontal cortex connectivity in human evolution High-frequency neural activity (HFA) and its role in behavior Decoding neural signals for brain-machine interfaces Advising/Grants: No specific students or grants listed Labs/Teams: Knight Cognitive Neuroscience Lab

Ayelet LandauView profile

Associate Professor

• Visual Cognition
• Cognitive Neuroscience
• Attention Research
• +3 more

Prof. Ayelet Landau is an Associate Professor in the Departments of Cognitive Sciences and Psychology at the Hebrew University of Jerusalem, leading the Landau Lab. Her academic journey includes a B.A. and M.A. in Psychology and Philosophy/Neuropsychology from Hebrew University, a Ph.D. in Cognition Brain and Behavior from UC Berkeley, and postdoctoral research at the Ernst Strüngmann Institute (ESI) in Frankfurt. Her research focuses on the Cognitive Neuroscience of Attention and Time Perception, investigating neural oscillations' role in temporal processing and attentional mechanisms. She explores how the brain encodes time perception, visual attention distribution over time, and neural oscillations' cognitive functions. Key funding sources include the European Research Council, James S. McDonnell Foundation, and Israeli Science Foundation. Her lab integrates psychophysical methods with EEG/MEG to study temporal perception, attention sampling, and neural rhythms. Notable work includes modeling temporal generalization, uncovering neural correlates of decision-making, and exploring crossmodal effects in sensory processing. Education: B.A. Psychology and Philosophy, Hebrew University of Jerusalem M.A. Neuropsychology, Hebrew University of Jerusalem Ph.D. Cognition Brain and Behavior, UC Berkeley Research Themes: Temporal Perception: How the brain encodes time perception and integrates sensory information over time Attentional Rhythms: Rhythmic sampling mechanisms in visual and auditory attention Neural Oscillations: Role of alpha, theta, and gamma rhythms in temporal and attentional processing Lab & Funding: Landau Lab at Mount Scopus campus. Supported by grants from ERC, McDonnell Foundation, and ISF.

Paul SowmanView profile

Professor

• Neuroscience
• Psychology
• Cognitive Science
• +3 more

Paul Sowman is a Professor and Honorary Professor at Macquarie University's School of Psychological Sciences. His affiliations include the Hearing Research Centre, Perception in Action Research Centre, and Centre for Language Sciences (CLaS). He holds an ORCID ID (0000-0002-3863-6675) and specializes in neuroscience, psychology, and cognitive science. His research focuses on neuroimaging techniques like magnetoencephalography (MEG), auditory perception, and brain mechanisms underlying speech disorders, sensory processing, and psychedelic effects. He leads projects on microdosing psilocybin for depression, interoceptive abilities in aesthetic appreciation, and computational neurosurgery. Key research interests include auditory environments' impact on autism traits, prefrontal cortex roles in learning acoustics, and hallucinogen-induced perceptual disorders. He has been awarded the Henry Guze Award (2018) for hypnosis-related research. His work spans collaborations in Australia, Europe, and beyond, addressing topics like sport-related concussion assessment, neurosurgical innovations, and language processing during natural conversations. Recent projects include MQRC Data Research Centre collaborations and studies on brain activity in rugby players. He has supervised 1 student and contributed over 119 research outputs, including peer-reviewed articles and datasets on auditory surprise decoding and room acoustics learning.

Alexander GenevskyView profile

Associate Professor

• Consumer Neuroscience
• Neuroeconomics
• Affective Neuroscience
• +7 more

Alexander Genevsky is an Associate Professor in the Department of Marketing Management at the Rotterdam School of Management (RSM), Erasmus University Rotterdam. His interdisciplinary research bridges psychology, neuroscience, and marketing to understand the emotional and cognitive mechanisms underlying consumer decisions. Institution: Erasmus University Rotterdam School: Rotterdam School of Management (RSM) Department: Department of Marketing Management Academic Rank: Associate Professor Dr. Genevsky holds a Ph.D. in Psychology from Stanford University, with a focus on decision-making and affective neuroscience, and a bachelor’s degree in Computer Science from Binghamton University. His research employs behavioral experimentation, neuroimaging (e.g., fMRI), and market-level data analysis to explore how emotions shape preferences and choices. He is particularly known for his work on neuroforecasting —using brain activity to predict aggregate market behaviors such as crowdfunding success and video engagement. His recent publications reveal a consistent trajectory in consumer neuroscience and neuroeconomics , with a focus on decoding affective responses, modeling emotional integration over time, and applying neural insights to real-world marketing challenges. Articles like "When brain beats behavior" and "Neural affective mechanisms predict market-level microlending" highlight his pioneering role in demonstrating that neural data can outperform traditional self-reports in forecasting consumer behavior. Dr. Genevsky’s work has been widely covered in international media, including features on brain scans predicting crowdfunding success and the psychological underpinnings of fast fashion consumption. He has collaborated extensively with researchers from Stanford University and the University of Michigan. Scientific Focus: Consumer Neuroscience, Affective Neuroscience, Decision-Making, Neuroforecasting Media Impact: Coverage in Medical Xpress, Morningstar, and documentaries on fast fashion Collaborators: Brian Knutson (Stanford), Carolyn Yoon (Michigan), Maarten Boksem (RSM) He teaches courses in marketing management and leads research that integrates computational modeling with neuroscience to scale lab findings to market-level predictions. There is no indication of advisory roles for students in the provided text, nor any mention of formal scientific awards.

Bo BernhardssonView profile

Professor

• Control Engineering
• Medical Data Modeling
• Signal Analysis
• +3 more

Bo Bernhardsson is a full Professor at Lund University's Department of Automatic Control within the Lund Institute of Technology (LTH). He also holds roles in ELLIIT (Linköping-Lund initiative on IT and mobile communication) and is a profile area member in Engineering Health, AI and Digitalization, and Natural and Artificial Cognition. After earning his Ph.D. in Automatic Control from Lund University in 1992 and a postdoctoral fellowship at the University of Minnesota, he returned to Lund, becoming a docent (1998) and full professor (1999). From 2001–2010, he worked at Ericsson as a mobile system design and optimization expert before resuming his academic role at Lund University. Education: Ph.D. in Automatic Control (Lund University, 1992), Docent (1998) Affiliations: ELLIIT, LTH Profile Areas (Engineering Health, AI & Digitalization), LU Profile Area (Natural and Artificial Cognition) His research focuses on EEG signal analysis , control of uncertain systems , radio-based sensing and communication , and medical data modeling , blending theoretical analysis with practical applications. His work contributes to UN Sustainable Development Goals through advancements in healthcare and communication systems. Recent research highlights include advancements in 5G NR localization, EEG-based auditory attention decoding, and transfer learning for medical signal processing. He has supervised over 37 students, including doctoral candidates like F. Heskebeck and D. Pjanić. Active in interdisciplinary collaborations, he organized workshops such as the 2021 AI Lund seminar on uncertain system modeling and contributed to projects like the 2020–2022 pandemic dynamics initiative. Bernhardsson has authored 146 publications, 19 research projects, and engaged in 41 academic activities, reflecting his leadership in both technical and educational spheres within control engineering and applied systems.

Magdalena KrólView profile

Professor

• Cognitive Psychology
• Developmental Psychology
• Eye-Tracking Research
• +4 more

Magdalena Król is a Professor and Associate Head at SWPS University’s Faculty of Psychology in Wrocław, leading the Department of Cognitive Psychology and Individual Differences and the Psychological Research Laboratory. Her research focuses on cognitive and developmental psychology, particularly using eye-tracking to study how individuals process environmental information and make decisions. She investigates differences in information processing among neurodivergent populations, such as those on the autism spectrum. She has secured grants from the Foundation for Polish Science and the National Science Centre, and her work appears in journals like Cognitive Science and Neuropsychologia . She teaches developmental psychology and actively contributes to interdisciplinary research on neurodiversity and decision-making mechanisms. Affiliations: SWPS University, Institute of Psychology, Wrocław Key Research Themes: Eye-tracking methodologies, autism spectrum disorders, decision-making processes, neurodiversity Her studies explore how prior knowledge influences visual attention (e.g., diminished use in autism), the role of intentionality in children’s perceptions of lying, and the relationship between neurodiversity and psychological well-being. Grants have supported her work on strategic thinking in autism and sensory integration differences. She co-leads research projects on cognitive diagnostics using eye-movement analysis and crossmodal perception in neurodivergent individuals.

• Neurocognitive Linguistics
• Speech and Language Processing
• Cognitive Neuroscience
• +6 more

Dr. Andrew Thwaites is a Research Fellow at the Centre for Speech, Language, and the Brain (CSLB) within the Department of Psychology, University of Cambridge. His work focuses on the neurocognitive mechanisms underlying speech and language processing, integrating cortical activity analysis with machine learning approaches. Research Interests: Neurocognitive linguistics EEG/MEG signal analysis Cortical entrainment to speech Human-machine speech recognition comparisons Auditory perception Computational modeling of neural systems Publication Trends: Recent work (2025) includes frameworks for cortical processing mapping and unified EEG/MEG models. Earlier studies explore tonotopic representations (2017-2018), cross-domain comparisons between AI and neural networks (2016-2017), and sensory entrainment mechanisms (2015-2023). Keywords span Neuroscience , Machine Learning , and Speech Processing . Labs & Teams: Affiliated with the CSLB, a multidisciplinary research hub focusing on speech, language, and neuroimaging technologies.