جست‌وجوی استاد و پژوهشگر

• Auditory Neuroscience
• Neural Plasticity
• Tinnitus
• +۳ مورد دیگر

Fernando Nodal serves as a Departmental Lecturer and Senior Postdoctoral Research Scientist at the University of Oxford's Department of Physiology, Anatomy and Genetics (DPAG), where he is embedded within the King Group of the Wellcome Trust-supported Auditory Neuroscience research group. He maintains college affiliation with St Hilda's College and utilizes integrated behavioral, electrophysiological, and anatomical methodologies to investigate auditory perception mechanisms. His academic credentials include a BSc and MSc in Biological Sciences followed by a PhD in Neuroscience, all completed at the University of Salamanca, Spain. His doctoral work examined neural circuits of auditory reflexes, establishing the foundation for his current research trajectory. Nodal's research centers on experience-dependent neural plasticity within the auditory system, particularly investigating maladaptive processes that generate phantom perceptions like tinnitus. He employs unilateral conductive hearing loss models in ferrets to dissect how the brain maintains perceptual stability during sensory disruption. A parallel research stream explores how behavioral relevance modulates neural representations of sensory stimuli, revealing fundamental principles of attention and perception. His experimental approach consistently bridges molecular, systems, and behavioral levels of analysis. Recent publications demonstrate growing emphasis on tinnitus mechanisms across sleep-wake cycles, cholinergic modulation of cortical processing, and long-term behavioral adaptations to hearing impairment. These studies increasingly integrate cross-species validation (ferrets and humans) while maintaining rigorous electrophysiological and anatomical foundations. His scientific recognition includes: Marie Curie Fellowship (2000) Nodal actively mentors graduate researchers including Ana Isabel Sánchez Jiménez (auditory localization plasticity) and Linus Milinski (tinnitus-sleep interactions), supported by sustained Wellcome Trust funding for the Auditory Neuroscience group. His collaborative framework extends through the King Group's investigations of multisensory integration and spatial hearing. Within DPAG, he contributes to the Auditory Neuroscience group's mission of decoding fundamental auditory processing principles using innovative ferret models, with ongoing projects examining cortical feedback mechanisms and cross-modal plasticity following sensory deprivation.

• Speech Perception
• Aging
• Cochlear Implants
• +۲ مورد دیگر

Zilong Xie is an Assistant Professor in the School of Communication at Florida State University. His research focuses on the intersection of auditory, cognitive, and linguistic processes in speech recognition, with emphasis on aging, hearing loss, and cochlear implants. He employs interdisciplinary and computational methods to translate findings into clinical strategies for older adults, hearing-impaired individuals, and language learners. Ph.D. in Communication Sciences and Disorders (University of Texas at Austin, 2018) M.S. in Psychology (Peking University, 2013) B.S. in Psychology (Southwest University, 2009) Key research areas include: Speech Perception Aging Effects on Auditory Processing Cochlear Implant Efficacy Neuroplasticity in Speech Recognition Electroencephalographic Responses Recent publications highlight advancements in cortical tracking of speech under divided attention, age-related auditory changes, and machine learning applications for neurophysiological data analysis. His work bridges computational models with clinical audiology. 2023 FYAP Program Grant ($20,000) Institute for Successful Longevity Grant ($25,000) University of Kansas Medical Center Grant ($32,010) Dr. Xie's research aims to optimize speech understanding through hearing rehabilitation, exploring neural mechanisms in both native and non-native listeners with impaired hearing.

Nathan Weiszمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Auditory Perception
• Neural Oscillations
• +۷ مورد دیگر

Nathan Weisz is a Professor of Physiological Psychology in the Department of Psychology at the University of Salzburg , where he leads the Salzburg Brain Dynamics Lab and the MEG Laboratory at the Center for Cognitive Neuroscience Salzburg (CCNS). He has previously served as Associate Professor at the University of Trento’s CIMeC and as an Emmy Noether Group Leader at the University of Konstanz. . Doctorate: Department of Psychology, University of Konstanz (2001–2004) Diploma in Psychology: Catholic University of Eichstätt (1996–2001) His research focuses on understanding how the brain processes acoustic stimuli, particularly speech, using electrophysiological methods such as MEG and EEG. He investigates neural mechanisms in challenging listening environments (e.g., the 'cocktail party' problem), the role of neural oscillations in perception and memory, multisensory integration (e.g., audio-visual speech), and the development of tinnitus following hearing loss. His work has direct implications for hearing rehabilitation and cochlear implantation. The recent publications highlight advanced applications of M/EEG in decoding conscious perception across modalities, the role of alpha desynchronization in auditory working memory, and predictive neural activity in the auditory system. These reflect a strong trend in cognitive electrophysiology , predictive coding , and neural dynamics of perception . Nathan Weisz has not been mentioned as receiving specific scientific awards in the provided text. He advises graduate students in psychology and neuroscience, though specific names are not listed. His research is supported by institutional and likely external funding given his leadership roles and publication record. He leads a prominent research group focused on non-invasive brain imaging and cognitive dynamics. He leads the Salzburg Brain Dynamics Lab , which operates within the Center for Cognitive Neuroscience Salzburg (CCNS), utilizing MEG and EEG to study brain dynamics in perception and cognition.

• Cognitive Neuroscience
• Auditory Perception
• Electrophysiology
• +۷ مورد دیگر

Dr. Thomas Hartmann is a Senior Scientist at the Centre for Cognitive Neuroscience (CCNS), Department of Psychology, Faculty of Natural and Life Sciences, University of Salzburg. His research focuses on cognitive neuroscience, auditory perception, and electrophysiological methods (M/EEG), particularly in the context of tinnitus and cochlear implants. He leads the Salzburg Brain Dynamics Lab and is a key contributor to open-source neuroscience software development. PhD in Psychology, University of Konstanz (2006–2012) Diploma in Psychology, University of Konstanz (2001–2006) His primary research interests include auditory perception, neural oscillations, neurofeedback, cognitive neuroscience, and psychophysics . He investigates how the brain processes sound, especially under conditions of hearing impairment, and develops computational tools to improve experimental rigor and reproducibility. Dr. Hartmann’s recent publications demonstrate a strong trend in multisensory integration, neural speech tracking, attention modulation, and open-source methodological development . His work often combines EEG/MEG with behavioral paradigms to uncover the neural mechanisms of perception and attention. A major contribution is the Objective Psychophysics Toolbox (o_ptb), which enhances experimental design in MATLAB by abstracting hardware complexity. Active contributor to open-source neuroscience tools Focus on reproducible and robust experimental paradigms Collaborative research with leading institutions in Europe He has co-authored numerous peer-reviewed studies in journals such as Frontiers in Psychology , NeuroImage , and Cortex , and has been involved in research on tinnitus, cochlear implants, and neural correlates of attention. Although no direct students are listed, his role as a senior scientist and publication mentor suggests advisory responsibilities. He is affiliated with the Salzburg Brain Dynamics Lab, where his team conducts cutting-edge research on brain dynamics using advanced electrophysiological techniques and computational modeling.

• Cognitive Ergonomics
• Electrophysiology
• Mobile EEG
• +۴ مورد دیگر

Dr. Stefan Arnau is a Researcher at the Leibniz Institute for Work Research Dortmund (IfADo) since 2019, specializing in Experimental Ergonomics and Information Processing . His work focuses on cognitive fatigue, aging, and neurophysiological markers in applied settings. Key Techniques: Mobile EEG, eye blink analysis, ERP Collaborators: Prof. Edmund Wascher, Dr. Sarah Getzmann, Dr. Jonathan Reiser His research interests span cognitive ergonomics, neurophysiological correlates of mental load, and real-world applications of EEG technology. Recent publications emphasize aging-related cognitive decline, task-switching efficiency, and stress-induced neural changes. Analysis of his 15 most recent articles reveals a consistent focus on: Decoding cognitive states via EEG and eye blink activity Age-related differences in attentional resource allocation Neuroergonomic applications in driving and workplace environments Theta and alpha oscillations as markers of cognitive effort Machine learning for artifact removal in real-world EEG data Temporal perception under distraction He contributes to third-party funded projects and participates in the Dortmunder Vital-Studie for health assessment in occupational settings.

• Cognitive Neuroscience
• Attention Mechanisms
• Sensory Perception
• +۶ مورد دیگر

Adam S. Greenberg is an Associate Professor in the Department of Biomedical Engineering at the Medical College of Wisconsin , where he also serves as Associate Dean of Postdoctoral Education and Co-Director of the Biomedical & Health Informatics PhD Program . His academic career spans appointments at the University of Wisconsin-Milwaukee (2013-2019), Johns Hopkins University , and Carnegie Mellon University . PhD in Psychological and Brain Sciences (2010), Johns Hopkins University MS in Biomedical Engineering (2001), University of Alabama-Birmingham BS in Biomedical Engineering (1996), Case Western Reserve University Dr. Greenberg's research focuses on attention mechanisms across sensory modalities, particularly object-based attention and cognitive neuroscience . His work employs fMRI and psychophysics to investigate neural attention gradients , perceptual warping , and cross-modal attention dynamics . Key findings appear in journals like J Neurosci and Cerebral Cortex . His 15 most recent publications (2008-2025) reveal a consistent focus on attentional selection processes in visual and auditory domains, with methodological innovations in multivariate pattern analysis and tractography . Thematic clusters include visual field meridian effects , auditory scene analysis , and cross-modal attention mechanisms . Scientific Honors include election to Sigma Xi and The Psychonomic Society , plus multiple Outstanding Educator Awards at MCW. He leads the MARVL Visualization Lab and has directed over $2.5M in grants from NIH , NSF , and American Society of Breast Surgeons . As a mentor , he has advised 12 PhD students and supervised 6 postdoctoral researchers, including Christopher Reynolds (chemobrain research) and Gennadiy Gurariy (auditory attention). His teaching portfolio includes courses in perception , neuroimaging , and advanced neuroscience , with adjunct appointments in Ophthalmology and Otolaryngology .

• Cognitive Psychology
• Neuroscience
• Developmental Psychology
• +۳ مورد دیگر

Junchao Hu is a Research Fellow at the Department of Psychology, Faculty of Philosophy, University of Fribourg. His work bridges cognitive psychology , neuroscience , and machine learning , focusing on sensory integration and developmental disorders. Education : Doctoral degree in progress at University of Fribourg Email : junchao.hu@unifr.ch ORCID : 0000-0002-6296-5639 His research explores how auditory stimuli influence visual attention, threat detection mechanisms, and computational approaches to speech disorders. Key methods include eye-tracking and machine learning to decode cognitive processes and stuttering patterns. Recent publications highlight cross-modal sensory interactions (2024), pre-conscious gaze biases toward emotional stimuli (2024), and AI-driven stuttering detection (2022). These works span neuroscience , psycholinguistics , and computational modeling . Scientific Awards : SNSF Ambizione Scholarship As a graduate researcher, he collaborates with interdisciplinary teams at the intersection of psychology, technology, and health sciences.

Behtash Babadiمشاهده پروفایل

دانشیار

• Statistical and Adaptive Signal Processing
• Neural Signal Processing
• Systems Neuroscience
• +۳ مورد دیگر

Behtash Babadi is an Associate Professor in the Department of Electrical & Computer Engineering and a faculty member at the Institute for Systems Research and the Brain and Behavior Institute at the University of Maryland, College Park. He also holds affiliate appointments in the Program in Neuroscience & Cognitive Science and the Applied Mathematics & Statistics program. Education: Ph.D. in Engineering Sciences, Harvard University (2011) M.Sc. in Engineering Sciences, Harvard University (2008) B.Sc. in Electrical Engineering, Sharif University of Technology (2006) Research Interests: Dr. Babadi’s work focuses on statistical and adaptive signal processing frameworks for understanding neural systems. Key areas include: Neural signal processing and systems neuroscience Granger causality and functional connectivity analysis Dynamic modeling of neuronal assemblies Applications to auditory processing and cognitive recovery Scientific Contributions: His recent publications address cortical network dynamics, MEG source analysis, and robust causal inference. Notable methods include Network Localized Granger Causality (NLGC) for direct connectivity estimation and multitaper spectral analysis for neuronal spiking data. Awards: NSF CAREER Award (2016) E. Robert Kent Teaching Award (2019) GSAS Merit Fellowship (Harvard, 2010) Collaborations: Dr. Babadi collaborates with institutions like MIT, Harvard, and Massachusetts General Hospital, and participates in interdisciplinary initiatives such as the Brain and Behavior Initiative (BBI) and NIH BRAIN grants.

• Neuro-AI
• Natural Language Processing
• Machine Learning
• +۳ مورد دیگر

Shailee Jain is a postdoctoral researcher at the Chang Lab in the Department of Neurosurgery at University of California, San Francisco (UCSF). Previously, she completed her PhD in Computer Science at the Huth Lab, University of Texas at Austin, with collaborations at Google AI Language and Intel Brain-Inspired Computing Lab. Her work bridges artificial neural networks with biological language processing systems. Education : PhD in Computer Science (2023), UT Austin; BSc at NITK Surathkal Shailee's research focuses on Neuro-AI intersections, particularly interpreting neural NLP models to understand brain language processing . Her recent work explores voxel function modeling , context-sensitive speech encoding , and geometric signatures in neuro-AI systems . Key publications include: 2024: Frameworks for generative causal testing in language neuroscience 2023: Natural language fMRI dataset for voxelwise modeling 2022: Self-supervised speech modeling for cortical response prediction Awards & Recognition : 2025: Rookie of the Year Award (CogHear'25) 2024: Glushko Dissertation Prize 2024: SNL Dissertation Award 2023: UT Austin Graduate School Fellowship Active in academic service as Handling Editor for JoCNForum and Co-organizer for BayLI meetings, Shailee mentors through Women in Computer Science and reviews for top-tier venues. She teaches at summer schools like Cajal's NeuroAI program in Lisbon.

Jonas Olofssonمشاهده پروفایل

استاد

• Olfaction
• Perception
• Memory
• +۵ مورد دیگر

Jonas Olofsson is a Full Professor of Psychology at Stockholm University, where he leads the Sensory Cognitive Interaction Laboratory. His research explores the intersection of olfaction, memory, and emotion, with a focus on how smell influences cognitive processes. He investigates olfactory markers for dementia, odor-naming challenges, and therapeutic applications of smell-based interventions. His work employs behavioral experiments and neuroimaging techniques. Olofsson holds a PhD from Umeå University (2008) and a docentship from Stockholm University (2009). He has held affiliations with Northwestern University, The Scripps Research Institute, Karolinska Institutet, and New York University. His research is funded by the Swedish Research Council, Wallenberg Foundations, and the Swedish e-Science Research Centre. His recent publications emphasize olfactory dysfunction in aging and post-COVID contexts, virtual reality applications for smell training, and cross-cultural studies of odor perception. Articles frequently integrate neuroscience, psychology, and computational methods to decode sensory-cognitive interactions. Awards include: Member of Academia Europaea (2021) Wallenberg Academy Fellow (2016) Fulker Award for best article in Behavior Genetics (2009) Swedish National Committee Prize for Young Researchers (2010) He directs the Sensory Cognitive Interaction Laboratory, coordinating interdisciplinary projects on olfactory perception and its clinical applications. No student advisees or part-time status are explicitly mentioned.

• Neurobiology
• Neuropsychology
• Brain Imaging
• +۴ مورد دیگر

Dr. Ilona Kotlewska is an assistant professor at the Institute of Experimental Psychology, Jagiellonian University, Kraków. A neurobiologist and neuropsychologist with a PhD in biological sciences, she specializes in brain imaging techniques and the neurobiological basis of attention and self-awareness. Education: Graduate of the College of Interfaculty Individual Studies in Mathematics and Natural Sciences, University of Warsaw. Research: Focuses on visual, auditory, and tactile attention mechanisms, ownership neural correlates, and brain oscillations. Her recent work includes studies on theta oscillations, attentional selectivity, and self-face processing, published in journals like Scientific Reports and Journal of Cognitive Neuroscience . She has received prestigious awards including the Fulbright Junior Research Award, START Scholarship, and multiple Rector's Awards for scientific and organizational achievements. Scientific Awards: Rector's Award for Outstanding Scientific Achievements (2023), Fulbright Junior Research Award (2017–2018), START Scholarship (2018), ETIUDA Scholarship (2018). Community Work: Organized the Neuronus Neuroscience Forum and supported Ukrainian refugees, earning the Rector's Award for Organizational Achievements (2023).

• Cognitive Control
• Selective Attention
• Neuroscience
• +۲ مورد دیگر

Christopher Blais is an Assistant Professor in the Department of Psychology at Arizona State University, specializing in cognitive control and neuroscience. He directs the EEG lab, focusing on implicit mechanisms of self-regulation and attention. PhD in Cognitive Psychology, University of Waterloo (2006) MA in Cognitive Psychology, University of Waterloo (2002) BA in Psychology with minor in Mathematics, University of Waterloo (2001) His research explores cognitive control, selective attention, and neural correlates of behavior regulation. Key areas include understanding how implicit processes influence attentional control and memory, utilizing EEG and computational models. Recent publications highlight trends in cognitive neuroscience, including applications of machine learning to EEG data, social learning mechanisms, and educational technology innovations. Blais has contributed to studies on bilingualism, prospective memory, and emotion regulation. Blais teaches undergraduate courses like BIO 495 (Undergraduate Research) and PSY 499 (Individualized Instruction), emphasizing hands-on learning in psychology and neuroscience.

Almudena González Britoمشاهده پروفایل

دانشیار

• Neuroaesthetics
• Neuromusicology
• Music Cognition
• +۲ مورد دیگر

Almudena González Brito is a Reader (equivalent to Associate Professor) at the University of La Laguna, Spain, in the Department of Art History and Philosophy. She is a cellist, researcher, and cultural manager with international training from Madrid, Barcelona, Amsterdam, and Brussels, holding a PhD in Art and Humanities from her current institution. She earned her PhD in 2016 from the University of La Laguna with the thesis "El violonchelo en la música contemporánea un estudio de la musicología carnal" (The cello in contemporary music: a carnal musicology study), supervised by Dr. Pompeyo Juan Pérez Díaz and Dr. Julián Jesús González González. Since 2014, Dr. González Brito has pioneered research at the intersection of music and neuroscience through neuroaesthetics and neuromusicology. Her work investigates why different musical and choreographic styles produce distinct brain responses, examining how daily musical choices impact behavior, physiology, and overall well-being. She integrates humanistic and scientific methodologies to decode the neural mechanisms underlying aesthetic experiences and musical cognition. Her publication portfolio (2015-2024) reveals consistent focus on EEG-based analysis of brain connectivity during music perception and performance. Key patterns include comparative studies of tonal versus atonal music processing, expertise effects in musicians, neural responses to dance choreography, and stylistic differences in Baroque versus contemporary performance. These investigations consistently employ advanced network analysis of functional brain connectivity. Dr. González Brito leads the CORPOART research group (Corporeality: Flows of Communication in Neuroaesthetic Interpretation) and participates in the NNLab (Neurochemistry and Neuroimaging Laboratory), directing projects that explore the behavioral and physiological implications of musical style selection. She actively supervises doctoral candidates within the University of La Laguna's Official Doctoral Program in Art and Humanities. Her laboratory work centers on the CORPOART group's investigation of daily musical choices and their consequences for human physiology and well-being, utilizing EEG and neuroimaging techniques to bridge artistic practice with cognitive neuroscience.

• Cognitive Neuroscience
• Computational Modeling
• Predictive Coding
• +۴ مورد دیگر

Ryszard Auksztulewicz serves as Visiting Professor and Group Leader of the Prediction and Memory unit within the Department of Education and Psychology at Freie Universität Berlin. Based at Habelschwerdter Allee 45, Room JK 25/220 in Berlin, he leads research at the intersection of cognitive and systems neuroscience. His research focuses on neural mechanisms of prediction, attention, and memory , employing multimodal approaches including EEG, fMRI, MEG, ECoG, TMS, electrophysiology, and calcium imaging. He integrates these with computational modeling (Bayesian models of neural/behavioral data) and multivariate decoding techniques. Key research themes include: Predictive coding frameworks for understanding sensory processing Neural gain modulation in temporal expectation Auditory cortex representations of memory and prediction Task-dependent modulation of sensory predictions Recurrent processing in perceptual awareness Analysis of his 34 publications (h-index: 18) reveals consistent focus on computational neuroscience approaches to memory systems , with recent work emphasizing cross-species auditory processing and neural representation dynamics. His 2022-2018 publications particularly highlight mechanistic distinctions between "what" and "when" predictions in sensory cortex. Teaching responsibilities include: Probabilistic and Statistical Modeling (Lecture) Introduction to Programming (Seminar) Research Colloquium for Qualification Theses