جستجوی استاد راهنمای دانشگاهی

Prof. Helen Blank is a Professor leading the Multisensory Perception Group and the Prediction in Communication Lab at the Institute for Systems Neuroscience, University Medical Center Hamburg-Eppendorf. Her work focuses on understanding how sensory information is integrated and predicted in contexts like speech perception and face recognition. She holds a Marie Curie Fellowship for her research on prior information's role in human communication. Fluent in German, English, and French, she contributes to experimental medicine and systems neuroscience. Her research spans predictive coding, neuroimaging, and clinical applications in Parkinson’s and developmental disorders. Education: Not explicitly stated in text, inferred as advanced degrees in neuroscience or related fields. Her research interests emphasize multisensory integration, predictive processing in speech and vision, and the neural bases of perception. Recent articles explore topics such as pupil responses to auditory surprise, face expectation hierarchies, and audio-visual speech processing. Awards include the Marie Curie Fellowship supporting her predictive communication work. She leads interdisciplinary teams within the Center for Experimental Medicine, advancing knowledge on perceptual mechanisms and their clinical implications.

• Multisensory Perception
• Predictive Processing
• Speech Perception
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Chet C. Sherwood is a Professor of Anthropology at George Washington University (GW) and a core faculty member of the Center for the Advanced Study of Human Paleobiology (CASHP). He also directs the National Chimpanzee Brain Resource and is affiliated with the GW Mind-Brain Institute. His research focuses on evolutionary neuroscience, particularly brain evolution in primates and other mammals, emphasizing how brain structure relates to behavior, development, and genetics. Education: Ph.D. (2003), M.A. (1998, 1996), and B.A. (1995) from Columbia University, with an additional M.A. from New York University (1996). Teaches courses such as ANTH 1001: Biological Anthropology and ANTH 3413: Evolution of the Human Brain. Research interests include comparative neuroanatomy of the cerebral cortex, human brain evolution relative to other primates, and the molecular and cellular mechanisms underlying cognitive evolution. He explores how brain differences across species correlate with ecological and behavioral traits, leveraging neuroimaging, transcriptomics, and fossil reconstruction techniques. Recent work investigates aging-related brain changes in primates and elephants. Notable achievements include membership in the National Academy of Sciences (2021) and the AAAS Fellowship (2022). His lab’s studies on chimpanzee brain plasticity and the genetic basis of primate cognition have advanced understanding of human uniqueness and shared evolutionary traits. Chet’s interdisciplinary collaborations span paleontology, genomics, and neuroscience, with a focus on bridging evolutionary and medical insights. His leadership in the National Chimpanzee Brain Resource underscores his commitment to advancing comparative neurobiology through resource development and ethical research practices.

• Evolutionary Neuroscience
• Comparative Neuroanatomy
• Primate Brain Evolution
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Prof. Sophie Schwartz is a leading neuroscientist at the University of Geneva , where she heads the Sleep & Cognition Lab within the Faculty of Medicine . Her research integrates neuroimaging (fMRI, hd-EEG, MEG) , behavioral testing , and computational modeling to unravel the neural mechanisms underlying memory consolidation , emotion processing , and dreaming during sleep, while also developing clinical interventions to enhance sleep in neurological and psychiatric disorders.

• Sleep Neuroscience
• Cognitive Neuroscience
• Neuroimaging (fMRI, hd-EEG, MEG)
• +۷ مورد دیگر

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.

• Neuroscience
• Biomedical Engineering
• Neural Circuits
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Lori L. Holt is a Professor of Psychology at the University of Texas at Austin (UT-Austin), where she leads the Holt Lab. Previously, she served as faculty at Carnegie Mellon University (1999–2023), contributing to the Center for the Neural Basis of Cognition. Her research focuses on auditory cognitive neuroscience, exploring how learning, attention, and neural mechanisms shape speech perception and communication. She holds a BS and PhD in Psychology from the University of Wisconsin-Madison (1995, 1999). Her work investigates the neural foundations of listening, emphasizing adaptive plasticity in speech perception, statistical learning dynamics, and the interplay between sensory input and cognitive processes. Recent studies examine how short-term sound statistics influence perceptual weighting, the impact of accent exposure on speech production, and neural correlates of auditory category learning. The Holt Lab, equipped with EEG facilities, advances understanding of voice perception, speech motor control, and neurocognitive adaptation. Dr. Holt teaches courses such as Behavioral Neuroscience (PSY 332) and Biopsychology (PSY 308), reflecting her expertise in linking biological mechanisms to psychological processes. Her research has been published in leading journals, with a focus on auditory neuroscience, statistical learning, and neurorehabilitation.

• Auditory Cognitive Neuroscience
• Speech Perception
• Statistical Learning
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Maria Neimark Geffen is a Professor at the Perelman School of Medicine , University of Pennsylvania , with appointments in the Department of Otorhinolaryngology, Neuroscience, and Neurology . She directs the Lab for Auditory Coding since 2010, focusing on how the brain encodes auditory information and how perception is shaped by experience and emotion. Her work combines two-photon imaging , optogenetics , electrophysiology , and behavioral experiments . Dr. Geffen earned her A.B. in Molecular Biology from Princeton University and a Ph.D. in Biophysics from Harvard, where she discovered a novel retinal circuit. After a postdoc at Rockefeller University, she joined UPenn, uncovering mechanisms like inhibitory neuron roles in sensory acuity and emotional learning links to auditory perception . Her recent publications highlight computational models of auditory cortex circuits , inhibitory neuron subtypes in adaptation , and cross-modal integration , reflecting her interdisciplinary approach. Scientific awards include the Burroughs Wellcome Career Award and Klingenstein Fellowship . Burroughs Wellcome Career Award at the Scientific Interface Klingenstein Foundation Award in Neurosciences Human Frontiers Young Investigator Award Auditory Neurophysiology Spotlight Award Kaufman Foundation New Initiative Grant Dr. Geffen mentors extensively, with trainees winning NIH Ruth L. Kirschstein NRSA and Brain Research Foundation Awards . Her lab collaborates across Computational Neuroscience Initiative , Hearing Sciences Center , and international institutions.

• Auditory Neuroscience
• Neuronal Circuits
• Computational Neuroscience
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Stephanie Riès is an Associate Professor in the Department of Speech, Language, and Hearing Sciences at San Diego State University, where she directs the Laboratory for the Brain Dynamics of Language. Her research specializes in the cognitive neuroscience of human language, examining brain dynamics in language production, control processes, and neural reorganization following brain disorders. Education: BS in Biology from University of Rennes 1 MS in Cognitive Neuroscience from Aix-Marseille University MS in Cellular Biology and Animal Physiology from University of Rennes 1 PhD in Cognitive Neuroscience from Aix-Marseille University Her work integrates electrophysiology (EEG, EMG) and neuroimaging to study language production mechanisms and compensatory plasticity in conditions like stroke, epilepsy, and brain tumors. Key research areas include bilingual interference resolution, speech monitoring mechanisms, and neural reorganization patterns. Recent publications focus on neural hierarchies in speech production, neuroplasticity in language recovery, and advanced brain mapping techniques. Article analyses reveal strong emphasis on electrophysiological methods (sEEG, ERP), bilingual cognition, and clinical translation of neuroscience findings. Dr. Riès leads significant research initiatives through her laboratory, investigating brain-behavior relationships using intracranial recordings and developing novel approaches for speech activity detection across neurological populations.

• Cognitive Neuroscience
• Psycholinguistics
• Speech and Language Disorders
• +۴ مورد دیگر

Hal Blumenfeld, MD, PhD, is a Professor of Neurology, Neuroscience, and Neurosurgery at Yale University's School of Medicine, serving as Director of the Clinical Neuroscience Imaging Center (CNIC). He specializes in epilepsy, consciousness, and neuroimaging. His research focuses on understanding the mechanisms underlying impaired consciousness during seizures and developing innovative diagnostic and treatment approaches. Dr. Blumenfeld holds a PhD from Columbia University and completed neurology residency at Massachusetts General Hospital. Appointments: Neurology (Primary), Neuroscience & Neurosurgery (Secondary) Key Roles: Director, CNIC; Author, Neuroanatomy Through Clinical Cases Research Interests: Epilepsy , Consciousness , Neuroimaging , and Cortical-Subcortical Mechanisms . His work combines human and animal models to study seizure-induced consciousness impairment, with a focus on neurovascular coupling, EEG-fMRI, and wearable technologies for real-time monitoring. Publications highlight advancements in understanding absence epilepsy, focal seizures, and the neural correlates of sensory perception. Recent studies explore cholinergic arousal deficits and predictive models for impaired consciousness. His team has developed the ARTiE Watch for automated responsiveness testing in epilepsy. Awards : Javits Neuroscience Investigator Award (NIH), Francis Gilman Blake Award (Yale), and Whitaker Visiting Professorship (ANA). Labs & Teams : Blumenfeld Lab, CNIC, and collaborations with the Kavli Institute for Neuroscience.

• Epilepsy
• Consciousness
• Neuroimaging
• +۳ مورد دیگر

Benjamin Willmore serves as a Departmental Lecturer at the University of Oxford, affiliated with the King Group within the Department of Physiology, Anatomy and Genetics (DPAG) and St Peter's College. His research investigates neural representation and processing of sensory information under naturalistic conditions, utilizing electrophysiological recordings and computational modeling to decode auditory and visual system mechanisms. His academic background includes: PhD in Computational Neuroscience from the University of Cambridge supervised by David Tolhurst MSc and MA degrees from the University of Cambridge (Cantab) Willmore's research spans sensory neuroscience with primary focus on auditory processing, examining how neurons encode complex sounds through electrophysiological measurements and model-based analysis. His work explores neural adaptation to reverberation, subcortical contributions to cortical sound encoding, and cross-modal principles in visual motion processing. This integrative approach bridges experimental neurophysiology with theoretical frameworks to understand sensory computation in natural environments. Analysis of his 2020-2024 publications reveals consistent emphasis on auditory neuroscience, particularly nonlinear sound encoding mechanisms and adaptive processing in cortical/subcortical circuits. His work demonstrates methodological integration of in vivo electrophysiology, computational modeling, and behavioral paradigms across auditory and visual domains, highlighting interdisciplinary innovation in sensory systems neuroscience. Scientific Awards: No awards mentioned in source materials Willmore actively contributes to Oxford's academic mission through lecturing for the MSc in Neuroscience and BA in Biomedical Sciences programs, while providing specialized tutorials on sensory neuroscience and neural coding to second- and third-year medical students. His teaching integrates cutting-edge research concepts into core neuroscience curricula, though specific grant funding details remain unreported in available sources. He operates within the King Group, a leading neuroscience research team investigating neural circuit mechanisms of sensory perception using multidisciplinary approaches including in vivo electrophysiology, imaging, and computational analysis. The group focuses on how auditory, visual, and multisensory information is processed in behaving systems, with Willmore contributing expertise in computational modeling of naturalistic sensory encoding.

• Sensory Neuroscience
• Neural Coding
• Computational Neuroscience
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Cynthia F. Moss is a Professor in the Department of Psychological and Brain Sciences at Johns Hopkins University (JHU), with joint appointments in Neuroscience and Mechanical Engineering. She directs the Comparative Neural Systems and Behavior Laboratory (Bat Lab), investigating neural mechanisms of sensory perception and spatial navigation in echolocating bats. Her work combines neurophysiology, behavioral ecology, and engineering to study how bats process auditory information for navigation, communication, and obstacle avoidance. Dr. Moss earned a B.S. (summa cum laude) from the University of Massachusetts, Amherst, and a Ph.D. from Brown University. She held prior faculty positions at Harvard University and the University of Maryland, where she directed the Neuroscience and Cognitive Science graduate program. Her research has received prestigious awards including the Hartmann Award (2017), James McKeen Cattell Award (2018), and Alexander von Humboldt Research Prize (2019). Her research focuses on sensory coding of natural stimuli, spatial perception, attention, and adaptive motor control. Key findings include discoveries about 3D auditory space representation in the midbrain, age-resistant hearing in bats, and the role of wing hairs in flight control. Her lab employs innovative techniques like wireless neural recording, two-photon imaging, and DREADDs-mediated inactivation to study neural circuits. Dr. Moss collaborates across disciplines, bridging neurobiology, robotics, and sensory systems engineering. Her work informs biomimetic technologies for sonar navigation and adaptive control systems. She actively mentors students and postdocs in the Krieger School of Arts and Sciences, Whiting School of Engineering, and School of Medicine at JHU.

• Sensory coding
• Auditory neuroscience
• Spatial perception
• +۶ مورد دیگر

Carles Escera is a Professor of Cognitive Neuroscience at the Department of Clinical Psychology and Psychobiology, Faculty of Psychology, University of Barcelona. He has directed major research institutes including the Institute of Neuroscience (accredited as a Maria de Maeztu Excellence Centre) and currently coordinates the Brainlab Research Group (SGR2017-974). His research focuses on auditory perception, attention mechanisms, and neurodevelopmental disorders, with a recent emphasis on subcortical speech encoding in neonates and its clinical implications. He has received the ICREA Academia Prize three times (2010, 2015, 2020). Education: Licenciatura in Psychology (1987), PhD in Psychology (1993). Postdoctoral training at University of Helsinki (1993–1999). Visiting professorships at University of Bremen and Hanse Wissenschaftskolleg (2004–2005). Research Interests: Investigates cerebral mechanisms of auditory perception, attention, and cognitive control. Explores subcortical auditory processing via FFR, clinical applications of MMN, and interdisciplinary studies on prehistoric rock art acoustics. Grants & Awards: Lead researcher on projects funded by Ministerio de Ciencia, ICREA, and Alicia Koplowitz Foundation. Projects include FFR biomarkers for neurocognitive disorders and acoustic analysis of Neolithic rock art sites. Lab Members & Collaborations: Directs Brainlab with over 20 researchers. Collaborates internationally with institutions in Finland, Germany, Israel, and Japan. Former members include prominent neuroscientists like Kimmo Alho and Manuel S. Malmierca.

• Cognitive Neuroscience
• Auditory Perception
• Attention Mechanisms
• +۵ مورد دیگر

Ross Maddox, Ph.D., is an Associate Professor in the Department of Otolaryngology-Head and Neck Surgery at the University of Michigan, where he is affiliated with the Kresge Hearing Research Institute. Previously, he served on the faculty of the Departments of Biomedical Engineering and Neuroscience at the University of Rochester. His academic journey includes a B.S. in Sound Engineering from the University of Michigan, followed by an M.S. and Ph.D. in Biomedical Engineering from Boston University. He completed a postdoctoral fellowship at the University of Washington Institute for Learning & Brain Sciences (I-LABS). Educations: B.S. in Sound Engineering, University of Michigan M.S. in Biomedical Engineering, Boston University Ph.D. in Biomedical Engineering, Boston University Research Interests: The Maddox Lab focuses on understanding how the human brain processes auditory information in complex environments. Research combines electroencephalography (EEG) and psychophysics to study selective attention and listening. Key areas include: Development of the parallel auditory brainstem response (pABR) for rapid, comprehensive hearing diagnostics in infants Investigation of subcortical neural responses to natural sounds, enabling studies of real-world listening behaviors like the 'cocktail party problem' Integration of auditory and visual cues for sensory processing Labs & Teams: The Maddox Lab operates within the Kresge Hearing Research Institute, collaborating across disciplines to bridge basic science, clinical applications, and methodological innovation. Current projects emphasize diagnostic tool development and translational research for hearing healthcare.

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

Dr. Oliver Bones is a Lecturer in Psychology and Deputy Head of the Dubai School of Psychology at the University of Birmingham Dubai. He also serves as Head of Year 1 for the BSc Psychology program, where he teaches modules including Introduction to Psychobiology, Cognitive Psychology, Language and Communication, Neural Basis of Vision and Action, and Cognition and Ageing. Education: BSc in Psychology, Sheffield Hallam University (2002) MSc in Audiology, University of Manchester (2011) PhD in Auditory Neuroscience, University of Manchester (2014) Higher National Diploma in Music Production Dr. Bones' research lies at the intersection of auditory neuroscience and cognitive psychology, focusing on how humans perceive pitch, music, and speech. His work investigates the role of cognition in speech perception, the neural basis of musical harmony, and the impact of hidden, non-audiometric hearing loss on cognitive function. He is particularly interested in how hearing loss interacts with cognitive decline in older adults, and how musical experience influences subcortical pitch encoding. His recent publications show a strong trend in auditory perception, neural representation of sound, and the cognitive mechanisms underlying music and speech processing. Many of his studies employ neuroimaging and electrophysiological methods to examine brainstem responses to complex auditory stimuli such as musical consonance and lexical tones. His work also extends to environmental sound classification and the formation of sound categories. Scientific Involvement: Co-Investigator, Abu Dhabi Early Childhood Authority grant on psychological factors in childhood obesity Dr. Bones advises undergraduate students as Head of Year 1 and contributes to curriculum development in psychology education. While formal PhD or Master's students are not listed, his collaborative research involves multiple institutions and interdisciplinary teams. He is based at the Dubai International Academic City campus, contributing to the growth of psychological science in the UAE.

• Auditory Neuroscience
• Cognitive Psychology
• Pitch Perception
• +۷ مورد دیگر

Trygve Brauns Leergaard is a Professor at the Department of Molecular Medicine, Institute of Basic Medical Sciences, University of Oslo. His academic work focuses on neuroanatomy, brain connectivity mapping, morphological phenotyping, and neuroinformatics, particularly in rodent models. MD, University of Leiden (1996) PhD, University of Oslo (2000) Research Interests: Leergaard specializes in digital brain atlasing, histological validation of neuroimaging, and neuroinformatics. His work bridges computational methods with neuroanatomical studies, emphasizing standardization of brain mapping techniques. Recent Publications: His 2024–2025 research includes developing spatial integration workflows, comparative brain atlas metadata models, and developmental mouse brain atlases. Earlier work (2018–2023) explored neurodegenerative disease models, brain tumor growth patterns, and Parkinson's disease mechanisms. Laboratory & Collaborations: He co-leads the Neural Systems and Graphics Computing Laboratory and collaborates internationally with institutions including UC San Diego, Duke University, and NTNU.

• Neuroanatomy
• Brain connectivity mapping
• Morphological phenotyping
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Professor David Halliday holds a position at the University of York as a Professor and Chair of the Research Committee. His research focuses on interdisciplinary fields of Computational Neuroscience and Neural Computing, with a particular emphasis on neural networks and neurophysiological signal analysis. He leads the Intelligent Systems and Nano-science Group and maintains an active research profile with over 100 publications. His work integrates theoretical modeling with experimental techniques to investigate topics such as motor control, neural oscillations, and clinical applications of machine learning. David Halliday's academic training includes a BSc and PhD, though specific institutions are not detailed in the provided text. His research interests span computational modeling of neural circuits, development of neuro-inspired algorithms, and application of signal processing techniques to neurological disorders. His homepage at http://www-users.york.ac.uk/~dh20 provides further details, including access to his ResearcherID profile (RID: A-3848-2009). Key research contributions include studies on cortico-muscular coherence in movement disorders, astrocyte-neuron interactions, and fault-tolerant spiking neural networks. His publications demonstrate interdisciplinary collaboration across computational neuroscience, biomedical engineering, and clinical diagnostics. Notably, his work combines experimental neurophysiology with advanced computational methods, such as non-parametric directionality analysis and wavelet-based coherence estimation. Recent studies have addressed clinically relevant topics like gait disturbance in spinal cord injury and biomarker identification in bladder cancer using machine learning approaches.

• Computational Neuroscience
• Neural Computing
• Intelligent Systems
• +۳ مورد دیگر