جست‌وجوی استاد و پژوهشگر

Shirley Fecteauمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Neuroplasticity
• Transcranial Stimulation
• +۳ مورد دیگر

Dr. Shirley Fecteau is a Professor at Université Laval and holds the Canada Research Chair in Neuroplasticity. Her research focuses on developing noninvasive brain stimulation therapies for cognitive disorders, targeting attention, decision-making, and emotional regulation in conditions like alcoholism, schizophrenia, and PTSD. Key Tools: Transcranial Magnetic Stimulation (TMS), Transcranial Direct Current Stimulation (tDCS), fMRI, EEG, Cognitive Training Target Disorders: Substance Use Disorders, Gambling Disorder, Post-Traumatic Stress Disorder, Anxiety, Schizophrenia Dr. Fecteau's work explores how transcranial stimulation alters neurotransmitter levels and neuronal activity, particularly in treatment-resistant cases. She collaborates with multidisciplinary teams to study neuroplasticity mechanisms and optimize clinical applications. Recent publications highlight her focus on neuroimaging integration , addictive behaviors , and neurostimulation safety . Her team's studies span from animal models to human clinical trials , emphasizing translational research. Canada Research Chair in Neuroplasticity Contributions to International Consensus Guidelines on Brain Stimulation Dr. Fecteau supervises a team of PhD, MSc students, and postdocs, including Shiva Sedghi, Uziel Rayas, Amy E Bouchard, and Thierry Provencher. Her research is supported by grants from major Canadian health agencies.

• Neuroscience
• Psychiatry
• Cognitive Neuroscience
• +۳ مورد دیگر

Dr Tineke Grent-'T-Jong is an Affiliate in the School of Psychology & Neuroscience at the University of Glasgow. She specializes in investigating neural oscillations and their role in schizophrenia and psychosis. Her work combines magnetoencephalography (MEG) and neuroimaging techniques to study circuit dysfunctions in clinical populations. Research focuses include gamma-band oscillations, auditory processing deficits, and biomarkers for early psychosis detection. Education No formal education details explicitly provided in text, though her academic contributions suggest advanced degrees in neuroscience or related fields. Research Interests Dr Grent-'T-Jong's work revolves around understanding neural mechanisms underlying psychosis and schizophrenia through neurophysiological methods. Key topics include: Gamma-band oscillations and their disruption in psychiatric disorders Thalamo-cortical circuit dysfunction in schizophrenia MEG-based biomarkers for clinical high-risk populations Neurochemical correlates (GABA/glutamate) in auditory cortex Articles Trends Her recent work emphasizes translational neuroscience, linking neural oscillatory patterns to clinical outcomes. Studies often integrate multimodal neuroimaging (MEG/EEG) with computational models to explore circuit-level abnormalities in early psychosis. A key focus is identifying biomarkers predictive of clinical transitions. Awards No scientific awards explicitly mentioned in the provided text. Grants & Advising While specific grants are not listed, her collaborative research (e.g., with Prof. Uhlhaas) suggests involvement in funded projects. No formal advisee names are provided in the text. Labs/Teams Affiliated with schizophrenia and neuroimaging research groups at the University of Glasgow, collaborating internationally with institutions like the University of Cologne and University of Zurich.

• Auditory Neuroscience
• Hearing Loss Diagnostics
• Neurophysiology
• +۳ مورد دیگر

Ross Kevin Maddox, Ph.D., is an Associate Professor in the Department of Otolaryngology-Head and Neck Surgery at the University of Michigan Medical School. He previously held a joint appointment as Associate Professor in the Departments of Biomedical Engineering and Neuroscience at the University of Rochester (2016–202?). His research focuses on auditory neuroscience, particularly selective attention and listening, and the development of diagnostic tools for hearing loss in infants (e.g., the parallel auditory brainstem response, pABR). He also investigates subcortical neural responses to natural sounds and multisensory integration in complex environments. Education: Ph.D. and M.S. in Biomedical Engineering (Boston University), B.S. in Sound Engineering (University of Michigan). Postdoctoral training at the University of Washington Institute for Learning & Brain Sciences (I-LABS). Research interests include neurophysiological methods (e.g., EEG, psychophysics), clinical translation of basic science findings, and improving assistive technologies for hearing disorders. His lab at the Kresge Hearing Research Institute bridges basic science, clinical applications, and methodological innovation. Notable contributions include the pABR technique for rapid hearing threshold estimation and studies on subcortical responses during speech-in-noise tasks. Current projects emphasize naturalistic auditory processing and translational hearing research.

• Diffusion MRI
• Neuroplasticity
• Brain Connectivity
• +۵ مورد دیگر

Dr. Alfred Anwander is a Senior Researcher in the Department of Neuropsychology at the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig, Germany. His work focuses on diffusion MRI as a biomarker for brain development and plasticity, particularly in language-related pathways and neuroplasticity mechanisms during second language acquisition. He has held research positions at the institute since 2000, contributing to projects such as the DFG-funded "Human microstructural connectomics" and "Dynamic Connectome" initiatives. Education 1991–1996: Diploma in Electrical Engineering from the University of Karlsruhe 1995–2000: MSc (DEA) and PhD in Signal and Image Processing from INSA Lyon (France), with a thesis on model-based color image segmentation. Research Interests Anwander’s research integrates advanced neuroimaging techniques to study structural connectivity in the human brain. Key areas include: Diffusion MRI applications in developmental neuroscience and neuroplasticity Language-related white matter pathways Evolutionary comparisons of brain connectivity in primates Methodological advancements in high-resolution MRI and tractography Grants & Projects DFG project "Human microstructural connectomics: Computational modelling and validation with histology and CLARITY (MiCo-MRI)" DFG project "The dynamic connectome underlying language in the brain (DynaCon)" Evolution of Brain Connectivity (EBC) initiative Labs & Teams He collaborates within the institute’s Cortical Networks and Language Research groups, focusing on interdisciplinary approaches to connectomics and neuroimaging technology development.

• Semantics & Concepts
• Grounded / Embodied Cognition
• Functional MRI
• +۳ مورد دیگر

Dr. Philipp Kuhnke is a postdoctoral researcher affiliated with the Lise Meitner Research Group 'Cognition and Plasticity' in cooperation with Leipzig University, Germany. His work bridges cognitive neuroscience, linguistics, and neuroimaging methodologies. Ph.D. in Cognitive Sciences (2021), University of Potsdam / Max Planck Institute for Human Cognitive and Brain Sciences M.Sc. in Cognitive Science (2016), University of Osnabrück B.Sc. in Cognitive Science (2014), University of Osnabrück Dr. Kuhnke's research focuses on semantics and conceptual processing, grounded cognition, and neuroimaging techniques like fMRI and TMS. His studies explore how the brain retrieves semantic knowledge, adapts to language tasks, and recovers from neurological impairments. His recent publications highlight interdisciplinary approaches combining neurostimulation and neuroimaging to understand reading networks, semantic cognition, and post-stroke recovery. He investigates neural plasticity mechanisms in dyslexia and aphasia, analyzing effective connectivity patterns in language networks.

Florence Levéمشاهده پروفایل

استاد

• Computer Science
• Music Information Retrieval
• Computational Modeling of Musical Structure
• +۳ مورد دیگر

Florence Levé is a full Professor in Computer Science at the University of Picardy Jules Verne within the College of Sciences. She is affiliated with multiple research teams including MIS (Modeling, Information, Systems) Amiens, SDMA Team, and Algomus Team, while associated with CRIStAL (UMR 9189). Her research focuses on the intersection of computer science, music information retrieval, and computational modeling of musical structures. Key Institutions: University of Picardy Jules Verne, CRIStAL Research Themes: Musical texture analysis, rhythm processing, human-AI co-creation in music Research Interests span computational modeling of musical structures, symbolic music processing, and interdisciplinary applications in neuroscience and digital humanities. Her recent work explores rhythmic complexity across cortical and subcortical auditory areas, texture annotation in classical compositions, and algorithmic orchestration techniques. Publications Trends show sustained focus on computational approaches to musical texture and rhythm. Key areas include symbolic music analysis (Mozart, Corelli), AI-assisted composition, and mathematical modeling of auditory processing across species. Collaborative work with researchers in neuroscience, musicology, and sound engineering reveals multidisciplinary scope. Research Networks include collaborations with: Mathieu Giraud (Computational Musicology) Fabrice Wallois (Neuroscience Applications) Christophe d'Alessandro (Organ Acoustics) Laboratory Affiliations : MIS (Modeling, Information, Systems) Amiens SDMA Team Algomus Team Associated with CRIStAL (UMR 9189 CNRS)

Sangam Ankmnal Veerannaمشاهده پروفایل

استادیار

• Psychoacoustics
• Electrophysiology
• Auditory Processing Disorder
• +۳ مورد دیگر

Dr. Sangam Ankmnal Veeranna is an Assistant Professor in Audiology at the University of Southern Mississippi. He holds a Ph.D. in Hearing Science from Western University, Canada (2017), following a postdoctoral fellowship at the National Center for Audiology there. His research focuses on auditory processing in individuals with and without listening difficulties, employing psychoacoustic and electrophysiological methods. He teaches courses such as SHS-302 Anatomy and Physiology of Hearing and SHS-701 Psychophysics . Dr. Veeranna’s work integrates clinical audiology with cutting-edge technologies, including machine learning applications for auditory diagnostics. His recent studies explore the impact of maternal COVID-19 during pregnancy on infant hearing, mobile psychoacoustic testing systems, and neural mechanisms behind auditory processing disorders. His expertise spans psychoacoustics, electrophysiology, and APD assessment. Notable contributions include developing novel methods to simultaneously assess subcortical and cortical auditory sensitivity and advancing cluster analysis techniques for auditory brainstem responses. He actively publishes in journals like American Journal of Otorhinolaryngology and Frontiers in Audiology and Otology .

Hari Bharadwajمشاهده پروفایل

استادیار

• Auditory Neuroscience
• Sensorineural Hearing Loss
• Cochlear Implants
• +۶ مورد دیگر

Hari Bharadwaj is an Assistant Professor in the Department of Communication Science and Disorders at the University of Pittsburgh. He directs the Systems Neuroscience of Auditory Perception Lab (SNAPlab), focusing on understanding how auditory systems process sound in complex environments. His research integrates clinical audiology, neuroscience, and engineering to improve diagnostics and assistive technologies like hearing aids and cochlear implants. Dr. Bharadwaj holds a PhD in Biomedical Engineering from Boston University, with earlier training in Electrical and Biomedical Engineering at the University of Michigan and Indian Institute of Technology Madras. His work spans auditory neuroscience, sensorineural hearing loss mechanisms, and neuroplasticity. Key contributions include identifying cochlear neural damage in 'normal hearing' individuals and developing web-based hearing screening tools. He has secured funding from NIH, NSF, Department of Defense, and Hearing Health Foundation. Dr. Bharadwaj emphasizes interdisciplinary training, mentoring students from audiology, engineering, psychology, and neuroscience backgrounds. Notable achievements include the 2018 Early Career Research Award from ASHA and multiple teaching awards from Purdue University (2018-2019). He serves as Associate Editor for the Journal of the Acoustical Society of America. Current research explores precision diagnostics for hearing loss and neural coding deficits in autism spectrum disorders.

Stefan Kiebelمشاهده پروفایل

استاد

• Computational Neuroscience
• Neuroimaging
• Bayesian Modeling
• +۳ مورد دیگر

Stefan Kiebel is a Professor of Neuroimaging at the Department of Psychology, Technische Universität Dresden. He holds a Dr. rer. nat. (summa cum laude) from Otto-von-Guericke University Magdeburg and a Diplom in Computer Science from the University of Dortmund. His research focuses on computational modeling of decision-making and cognitive control using Bayesian techniques. He leads the research group 'Modelling of dynamic perception and action' at the MPI for Human Cognitive and Brain Sciences in Leipzig since 2009. Previously, he held roles at University Clinic Jena, the Wellcome Trust Center for Neuroimaging (UCL), and the University Clinic Essen. His professional experience includes editorial board memberships for Nonlinear Biomedical Physics , PLOS One , and NeuroImage . His work bridges neuroscience and computational models, emphasizing hierarchical Bayesian approaches to understand neural dynamics and decision processes. Research interests include predictive coding, action selection, and the integration of sensory information with prior knowledge. His studies often involve functional brain imaging and theoretical frameworks like free-energy principles. Collaborations span clinical applications (e.g., addiction research) and fundamental neuroscience (e.g., motor adaptation, neuronal network dynamics). Key contributions include modeling context-dependent decision biases, the role of repetition in behavioral control, and computational accounts of alcohol use disorder. His group's work is methodologically innovative, combining biophysical models with Bayesian inference techniques.

• Cognitive Neuroscience
• Auditory Science
• Artificial Intelligence
• +۸ مورد دیگر

Dr. Zahra Jafari is an Assistant Professor at Dalhousie University's School of Communication Sciences and Disorders. Her research bridges cognitive neuroscience, auditory science, and artificial intelligence, with a focus on healthy aging, dementia biomarkers, and AI applications in healthcare. She holds multidisciplinary training including PhDs in Rehabilitation Sciences (University of Ottawa) and Cognitive Neuroscience (University of Tabriz), alongside clinical audiology qualifications from Tehran University of Medical Sciences. Her work investigates auditory processing deficits in aging populations, cognitive decline mechanisms, and the impact of environmental factors like air pollution and noise exposure. She leads the CANLab, fostering interdisciplinary research collaborations and supervising graduate students in audiology and speech-language pathology. Teaching responsibilities include courses on advanced audiological diagnostics and cochlear implant technologies. Recent research highlights include machine learning models predicting tinnitus outcomes, systematic reviews linking air pollution to frailty, and studies on bilingualism's cognitive benefits. Dr. Jafari's lab actively explores neuroplasticity in multilingual individuals and Alzheimer's disease interventions using animal models. Her publications span high-impact journals in neuroscience, audiology, and gerontology, reflecting her commitment to translating basic science discoveries into clinical applications. Current projects emphasize leveraging AI for early dementia detection and optimizing cochlear implant outcomes in pediatric populations.

• Epilepsy Research
• Neuroscience
• Biomedical Engineering
• +۳ مورد دیگر

Taruna Yadav, PhD, is a Research Fellow at the Yale School of Medicine, affiliated with the Blumenfeld Lab. Her research focuses on epilepsy, neural mechanisms of consciousness, and wearable technology for clinical assessment. She holds a PhD in Biomedical Engineering from the University of Houston (2022) and an ME in Electrical Engineering from the Indian Institute of Technology Gandhinagar (2015). Dr. Yadav’s work includes developing the ARTiE Watch, a wearable device to quantify impaired consciousness during seizures, funded by the American Epilepsy Society Postdoctoral Research Fellowship. Her studies integrate neurophysiological techniques with clinical applications, aiming to improve diagnostic accuracy and patient care in epilepsy. Her research spans neural oscillations, reward processing, and human-computer interaction, with contributions to translational neuroscience. Key projects include thalamic stimulation trials for epilepsy and studies on motor cortex activity in non-human primates.

Daniel Llanoمشاهده پروفایل

دانشیار

• Auditory Neuroscience
• Computational Neuroscience
• Molecular and Cellular Neuroscience
• +۴ مورد دیگر

Dr. Daniel Llano is an Associate Professor in the Department of Molecular and Integrative Physiology at the University of Illinois College of Liberal Arts & Sciences , with additional affiliations at the Beckman Institute for Advanced Science and Technology and Carle Neuroscience Institute. His research bridges basic and clinical neuroscience, focusing on auditory processing, aging, and neurodegenerative disorders. Research Interests : Elucidating corticocollicular circuits in complex sound processing Investigating thalamic reticular nucleus dynamics in sensory modulation Exploring aging/Alzheimer's disease-related auditory network dysfunction Laboratory Approach : Combines electrophysiology, optogenetics, super-resolution ultrasound imaging, and computational modeling to study layer-specific cortical projections and pathological auditory changes. Students & Collaborators : Mentors graduate students in neuroscience and audiology programs, collaborating with Duke University's Pengfei Song and SIU School of Medicine's Donald Caspary.

Sona Patelمشاهده پروفایل

دانشیار

• Speech-Language Pathology
• Neurotrauma
• Parkinson's Disease
• +۶ مورد دیگر

Sona Patel is an Associate Professor in the Department of Speech-Language Pathology at Seton Hall University . Her research focuses on auditory-neural mechanisms of voice control and emotional prosody in neurotrauma, including Parkinson's disease, mild traumatic brain injury (mTBI), and right hemisphere stroke. She also serves as the Assistant Provost for Academic Excellence and Assessment and holds leadership roles in academic committees. Ph.D., University of Florida, Communication Sciences and Disorders (2009) MA, University of Florida, Communication Sciences and Disorders (2008) Dr. Patel's research explores sensorimotor integration in speech production, speech rehabilitation, and the neurological basis of emotion communication in clinical populations. She has secured multiple grants from federal and state agencies, including the National Institute on Deafness and Other Communication Disorders (NIDCD) and New Jersey Commission on Brain Injury Research (NJCBIR). Her recent publications analyze speech error rates post-concussion, neural responses to voice training, and prosody deficits in Parkinson's disease and stroke. These works highlight applications of speech analysis in diagnosing and rehabilitating neurological conditions. Merit Award , Seton Hall University (2023) MS Student Research Project Award (Amber Lieto), Seton Hall SHMS (2023) Meritorious Poster Award , ASHA (2021) Undergraduate Research Award , Seton Hall University (2020) Dr. Patel has led or co-led over $500,000 in grants, including studies on speech indicators for concussion recovery, affective prosody rehabilitation, and disease detection. She actively participates in academic service, such as the ASHA Research and Scientific Affairs Committee and NIH grant review panels.

• Cognitive Modelling
• Artificial Intelligence
• Decision-Making
• +۳ مورد دیگر

Dr. Leendert van Maanen is an Associate Professor at the Department of Experimental Psychology, Utrecht University, where he studies cognitive mechanisms underlying information processing and decision-making. His research focuses on developing and validating computational cognitive models, with applications in human-machine interaction and cognitive neuroscience data analysis. Research Themes: Cognitive Modeling, Decision-Making, Human-Centered Artificial Intelligence, Applied Data Science Labs: Leads the COBRA (Cognitive and Behavioral Research in Artificial Intelligence) lab His work spans three levels of cognitive integration in AI: model development, human-machine deployment, and neural data analysis. Recent projects include cognitive strategy detection, digital twin user modeling, and neural event detection using multivariate time series. For collaborations and publications, see leendertvanmaanen.com or Utrecht University Research Portal.

Christopher R. Cederrothمشاهده پروفایل

دانشیار

• Auditory Neuroscience
• Tinnitus
• Hearing Loss
• +۴ مورد دیگر

Christopher R. Cederroth is an Associate Professor and Senior Researcher at the Karolinska Institutet, Department of Physiology and Pharmacology. He leads the Translational Auditory Neuroscience research group, which focuses on understanding the mechanisms of hearing loss and tinnitus to develop preventive and curative strategies. His research employs a dual approach using animal models and human genetics to identify therapeutic targets. Research Interests: Molecular Mechanisms: Synaptic decoupling in the ear and homeostatic plasticity in the brain during tinnitus. Translational Auditory Neuroscience: Bridging basic research with clinical applications for hearing disorders. Genetic Epidemiology: Identifying genetic risk factors for tinnitus and hearing loss through GWAS and family studies. Neuroimaging & Electrophysiology: Characterizing neural signatures of tinnitus severity and auditory processing deficits. His recent publications (2021–2025) demonstrate a strong focus on large-scale genomic studies (e.g., GBD collaborations), innovative therapeutic approaches (e.g., cochlear gene therapy), and neurophysiological characterization of tinnitus. Trends include leveraging global health datasets, advancing gene-editing techniques for hearing restoration, and exploring cortical/subcortical biomarkers for auditory pathologies. Labs and Teams: Heads the Translational Auditory Neuroscience group at Karolinska Institutet, fostering collaborations with clinical researchers and industry partners to accelerate drug development for hearing disorders.