جست‌وجوی استاد و پژوهشگر

• Single-Cell Genomics
• Neuro-oncology
• Cortical Development
• +۷ مورد دیگر

Aparna Bhaduri is a Research Fellow at the University of California, Los Angeles (UCLA), specializing in single-cell genomics and its application to understanding cellular heterogeneity in the nervous system. Her work bridges neuroscience, oncology, and developmental biology, with a focus on glioblastoma, meningioma, and cortical development. Through collaborations with institutions like the David Geffen School of Medicine at UCLA and the Kriegstein Lab at UCSF, Bhaduri has contributed to key insights in neuro-oncology, neurovascular biology, and human-specific brain evolution. Her research leverages advanced technologies such as brain organoids and single-cell transcriptomics to dissect molecular mechanisms driving tumor resistance, neurodevelopmental disorders like autism, and cellular stress responses. Publications highlight her expertise in NOTCH signaling, LIF signaling, and the role of human-specific genes like NOTCH2NL in cortical neurogenesis. Bhaduri's interdisciplinary approach integrates genomics, bioinformatics, and systems biology to address complex questions in neurodevelopment and disease. While the scraped data does not explicitly list scientific awards, her leadership in high-impact studies—often as a primary author—underscores her scientific influence. Current projects include modeling 22q11.2 microdeletion syndrome in organoids and investigating radiation-induced cellular plasticity in glioblastoma. Bhaduri's work continues to shape understanding of neural-vascular interactions, tumor stem cell dynamics, and the evolutionary divergence of human brain architecture.

Steffen Katznerمشاهده پروفایل

دانشیار

• Neurobiology
• Visual Neuroscience
• Cognitive Neuroscience
• +۳ مورد دیگر

Dr. Steffen Katzner is an associate faculty member in the Faculty of Biology at Ludwig Maximilian University of Munich, affiliated with the Department of Biology II and the Division of Neurobiology. He co-leads the Vision Circuits research group with Laura Busse, focusing on neural mechanisms underlying visually guided behavior in mice. His research integrates optogenetics with extracellular electrophysiology to analyze how behavioral relevance modulates cortical and sub-cortical neural activity. Key themes include sensory processing, locomotion effects on cognition, and cortical dynamics during attention. Recent publications highlight trends in mouse visual neuroscience , sensory-motor integration , and computational models of behavior . Articles explore corticothalamic feedback, V1 microcircuits, and prior knowledge in neural processing. Responsibilities include research group leadership and collaborative studies with Gregory Born, Laura Busse, and others. Contact: steffen.katzner@lmu.de

Simon Jacobمشاهده پروفایل

استاد

• Neuronal mechanisms of higher cognitive functions
• Brain-computer interfaces (BCIs)
• Neuromodulation of cognition
• +۳ مورد دیگر

Prof. Dr. Simon Jacob is a leading researcher in translational neurotechnology at the Technische Universität München . As head of the Translational NeuroTechnology Laboratory and associate member of multiple neuroscience networks, he bridges rodent models with human neurosurgical research to unravel cognitive mechanisms. Board-certified neurologist Director of preclinical and clinical BCI research His research focuses on Neuronal basis of higher cognition Dopamine's role in executive function Neuromodulation of mental health using advanced methods like optogenetics , multi-scale neuroimaging , and computational modeling . Recent scientific publications reveal groundbreaking insights into Prefrontal cortex organization Striatal dopamine signaling Neuronal distraction filtering with implications for brain-computer interfaces and cognitive disorders. Recognized with a prestigious ERC Consolidator Grant , he mentors a diverse team of students spanning medicine, psychology, and AI. His teaching includes courses on neuroanatomy, cognitive neuroscience, and translational approaches to psychiatric disorders at TUM's elite programs.

Kyrana Tsapkiniمشاهده پروفایل

دانشیار

• Cognitive Science
• Neurolinguistics
• Neurodegenerative Diseases
• +۴ مورد دیگر

Kyrana Tsapkini is an Associate Professor of Neurology at the Johns Hopkins School of Medicine . Her research focuses on the intersection of language, cognitive systems, and neurodegenerative diseases , particularly primary progressive aphasia (PPA) and post-stroke aphasia . She leads clinical trials using transcranial direct current stimulation (tDCS) combined with language therapy to improve outcomes in PPA and stroke. Education : Ph.D. in Neuropsychology from Université de Montréal (2001). Research Interests include: Interventional studies in PPA and stroke using tDCS and behavioral therapy. Neuroimaging (DTI, resting-state fMRI, MR spectroscopy) to assess neural network changes. Neurolinguistic investigations into noun-verb distinctions and morphosyntactic processing in aphasia. Adaptation of aphasia assessment tools for Greek and cross-linguistic studies. Clinical Trials : PI for two IRB-approved trials on tDCS in PPA (NCT02606422) and post-stroke aphasia (NCT02622945). Scientific Awards : Science of Learning Institute Grant (2015) for tDCS in PPA. NIH/NIDCD R01 DC014475 (2015-2020) for tDCS in PPA. Labs & Teams : Directs the Language Neuromodulation Lab at Johns Hopkins, which bridges basic and clinical sciences to develop individualized therapies for PPA. The lab’s mission emphasizes neurodegenerative disease intervention and patient-centered care .

Yves Boubenecمشاهده پروفایل

دانشیار

• Auditory Cognition
• Neural Basis of Auditory Processing
• Attention Mechanisms
• +۵ مورد دیگر

Yves Boubenec is an Associate Professor (maître de conférences) in neuroscience at the École Normale Supérieure (ENS) in Paris, where he is affiliated with the Department of Cognitive Studies and the Perceptual Systems Laboratory. His research focuses on the neural basis of auditory cognition, particularly how attention, learning, and memory interact with auditory processing at the cortical level. He teaches neurophysiology of auditory perception at ENS through the IMaLiS and Cogmaster programs. His research spans three main conceptual angles: Attention , examining how top-down attention modulates auditory processing; Learning , studying how exposure to natural sounds shapes auditory perception across multiple time scales; and Memory , investigating how exposure to sounds leaves long-term traces in auditory cortex. He employs mesoscopic-scale neural recording techniques including electrophysiological recordings of neuronal populations and large-scale functional UltraSound (fUS) neuroimaging. Boubenec's recent publications (2023-2024) reveal a strong focus on speech processing, task engagement effects on auditory cortex, evidence integration across sensory modalities, and the neural mechanisms underlying categorical perception. His work frequently involves cross-species comparisons (particularly using ferrets) and combines experimental approaches with theoretical modeling. His laboratory offers multiple internship opportunities for students at various levels (L3, M1, M2, DENS) focusing on hemogenetic imaging, cross-species comparison of rhythm perception, and learning dynamics in biological and artificial networks. Boubenec collaborates extensively with researchers including Shihab Shamma, Srdjan Ostojic, and various interdisciplinary teams across neuroscience, acoustics, and computational modeling fields. His work bridges fundamental neuroscience with applications in speech processing and artificial intelligence.

María Emilia Samit Frenchمشاهده پروفایل

استاد

• Cognitive Rehabilitation
• Educational Technology
• Neuropsychology
• +۶ مورد دیگر

María Emilia Samit French is an international academic with professorships across Argentina, Brazil, and Spain. Currently affiliated with the Universidad Católica de Santa Fe (UCSF, Argentina), Camilo José Cela University (UCJC, Spain), University of the Middle Atlantic (UNIDAM, Spain), and TECH University, she contributes to undergraduate and master's programs. She is also an international PhD candidate in Health Sciences at the Federal University of Rio Grande (FURG, Brazil) through a collaboration with UCSF, Argentina. Bachelor's degree in Psychology Master's degrees in Clinical Neuropsychology, Project Management, Big Data, and Video Game Programming Her research focuses on the intersection of technology and cognitive rehabilitation, particularly leveraging neuromodulation, machine learning, and digital education tools. She has worked with institutions like INECO Neurociencias Oroño (Argentina) and collaborates with the Functional Exploration and Neuromodulation Laboratory of the Nervous System (FENNSI Group, Spain). Recent publications highlight her work in neuroeducation and brain-computer interfaces. She serves on the Research Ethics Committee at UCSF and is affiliated with the American Psychological Association (APA) and the International Parkinson and Movement Disorder Society (MDS). International grant recipient (ICALA: German-Latin American Cultural Exchange) Collaborator in interdisciplinary research projects (Argentina-Italy, Argentina-Spain)

• Schizophrenia
• Neuroscience
• Cognitive Neuroscience
• +۶ مورد دیگر

Karuna Subramaniam is an Associate Professor in the School of Medicine at University of California, San Francisco (UCSF) , affiliated with the UCSF Weill Institute for Neurosciences . Her work focuses on the neural mechanisms underlying cognitive and clinical symptoms in Schizophrenia , particularly self-agency, reality monitoring, and neural plasticity. Education : PhD in Neuroscience (Northwestern University, 2008) BA in Biological Psychology (Knox College, 2002) Research Interests span schizophrenia neurobiology, medial prefrontal cortex function, self-agency, functional connectivity, and cognitive training interventions. She investigates how neural plasticity and mood modulation affect cognitive outcomes in schizophrenia, including hallucinations and reality monitoring deficits. Scientific Awards include: NIMH R01 Supplement (2024) NIMH R01 Grant (2020-2025) BBRF Partner Program Award (2020-2022) Schizophrenia International Research Society Travel Award (2018) Cognitive Neuroscience Society Presentation Award (2017) NARSAD Young Investigator Award (2010-2012) Pew Sponsored Research Award (2003) Grants include NIH R01MH122897 (Principal Investigator, 2020-2025) and NIH K01MH105615 (Principal Investigator, 2014-2021).

Andrea L Rossoمشاهده پروفایل

دانشیار

• Aging
• Mobility Studies
• Cognitive Function
• +۶ مورد دیگر

Andrea L Rosso is an Associate Professor in Epidemiology at the University of Pittsburgh , where she leads the Brain, Environment, Aging, and Mobility (BEAM) Lab . Her research focuses on environmental and social determinants of mobility and cognitive function in older adults. Education: BS in Biology (2001), MPH (2007), PhD in Epidemiology (2012), Post-doctoral training at University of Pittsburgh (2014) Research Interests include: Neighborhood walkability and physical/social capital effects on aging GPS-based community mobility assessment Mobility-cognition interactions and dementia risk Neuroimaging (fNIRS) during dual-task walking Stress burden in Black American cognitive outcomes Recent Publication Trends emphasize urban health metrics, cognitive resilience, and neuroimaging in mobility studies. Contact: alr143@pitt.edu

• Epilepsy
• Functional Neurosurgery
• Neurosurgery
• +۵ مورد دیگر

Layton Lamsam is a resident in the Department of Neurosurgery at Yale School of Medicine , focusing on epilepsy and functional neurosurgery . He completed his MD and BS in Biology at Stanford University , where he developed expertise in statistical programming and causal inference on observational data. Education: MD, Stanford University School of Medicine (2019) BS, Stanford University, Biology (2014) Research Interests: Layton's work spans epilepsy surgery , neuroimaging , and scRNA-Seq analysis for brain tumors. His recent studies examine structural network remodeling post-surgery, portable MRI applications, and therapeutic interventions like laser interstitial thermal therapy. Key Trends: His publications highlight neurosurgical outcomes , epilepsy , and neuroimaging , with a focus on clinical translational research , minimally invasive techniques , and neuro-oncology . Lab Involvement: He contributes to the Damisah Lab at Yale, which investigates neurosurgical innovations and epilepsy management strategies.

• Machine Learning
• Artificial Intelligence
• Computational Neuroscience
• +۶ مورد دیگر

Aapo Hyvarinen is Professor of Computer Science specializing in Machine Learning at the University of Helsinki, leading the Helsinki Probabilistic Machine Learning Lab. His research bridges theoretical machine learning, computational neuroscience, and philosophical implications of AI. Key affiliations include foundational work in Independent Component Analysis (ICA) and Natural Image Statistics. Academic Background: Extensive contributions to probabilistic modeling and unsupervised learning Current Focus: Causal representation learning, disentanglement, and AI's relationship to human suffering Hyvarinen's research interests span machine learning theory, computational neuroscience, and the philosophical implications of AI. He pioneered Independent Component Analysis (ICA) and Natural Image Statistics, developing frameworks connecting visual cortex function to statistical structures in natural scenes. His recent work focuses on causal representation learning, identifiable models, and the relationship between frustration in learning systems and human suffering. The second edition of his book Painful Intelligence (2024) explores how AI theory explains mental suffering through computational limitations like unpredictability and uncontrollability. His publication trends reveal a progression from foundational ICA work (2001) through natural image statistics (2009) to current causal ML and AI ethics research. Recent papers focus on identifiable representation learning, causal discovery without non-Gaussianity, and connections between sampling algorithms and neuroscience. The work consistently emphasizes mathematical rigor while addressing fundamental questions about learning systems. Hyvarinen has authored three influential books that have shaped machine learning education and research: Independent Component Analysis (2001) Natural Image Statistics: A Probabilistic Approach to Early Computational Vision (2009) Painful Intelligence: What AI Can Tell Us About Human Suffering (Second Edition, 2024) His work integrates machine learning theory with philosophical perspectives, notably connecting Buddhist and Stoic approaches to suffering with computational models of frustration. The Helsinki Probabilistic Machine Learning Lab serves as the hub for his research on causal discovery, representation learning, and the theoretical foundations of AI systems.

Alex Cayco Gajicمشاهده پروفایل

استادیار

• Cognitive Neuroscience
• Cerebellum
• Motor Control
• +۷ مورد دیگر

Alex Cayco Gajic is a Junior Professor and Principal Investigator in the Department of Cognitive Studies at École Normale Supérieure (ENS), part of PSL University in Paris. She leads a research team within the Group for Neural Theory (GNT), which is embedded in the Laboratoire de Neurosciences Cognitives et Computationelles. Her work sits at the intersection of machine learning, mathematical modeling, and systems neuroscience, with a particular focus on understanding how neural populations represent behavior and change over learning. Dr. Cayco Gajic received her Ph.D. in Applied Mathematics from the University of Washington in 2015, where she worked under Eric Shea-Brown, followed by a postdoctoral fellowship in Angus Silver's lab at University College London. She established her independent laboratory at ENS in 2019, integrating her mathematical training with experimental neuroscience to study cerebellar function and neural dynamics during learning. Her research interests span computational neuroscience, cerebellar function, neural coding, dimensionality reduction techniques, reinforcement learning, and dynamical systems. Dr. Cayco Gajic aims to identify fundamental principles of how task-relevant neural dynamics emerge over learning, particularly focusing on the cerebellum but also exploring its interactions with the motor cortex and basal ganglia during motor and cognitive learning. Her recent publications reveal a strong trend toward developing novel dimensionality reduction methods for analyzing large-scale neural recordings, with particular emphasis on understanding how neural representations evolve during learning. Her work bridges theoretical modeling with experimental neuroscience, often collaborating closely with experimental teams to validate computational approaches with real neural data, as evidenced by her development of slice tensor component analysis (sliceTCA) for identifying multiple classes of covariability in neural data. Dr. Cayco Gajic currently supervises several PhD students in her lab, including Helen Todd (working on cerebellar interneuron synchronization), Leonardo Agueci, Mattia Della Vecchia, and Hugo Ninou. Her team is actively working on understanding how interacting circuits in the brain control behavior, with particular focus on the cerebellum's role in both motor and cognitive functions. She maintains affiliations with multiple research centers including the ENS Quantitative Biology Centre and the Paris Artificial Intelligence Research Institute, reflecting the interdisciplinary nature of her work that spans neuroscience, mathematics, and artificial intelligence.

Margaret S. Livingstoneمشاهده پروفایل

استاد

• Visual Neuroscience
• Neurobiology
• Primate Cognition
• +۸ مورد دیگر

Margaret S. Livingstone is the Takeda Professor of Neurobiology at Harvard Medical School , with affiliations to Harvard University and the Livingstone Lab. Her work bridges visual neuroscience , neurodevelopment , and biomedical innovation , focusing on how primate brains process visual information. Research Interests: Visual recognition, face processing in autism, maternal bonding mechanisms, blood-brain barrier disruption via focused ultrasound, and the evolution of primate visual cortex. Grants: Recipient of a Whitehall Foundation grant (2024) for neuroanatomical constraints on visual domain development. Scientific Awards: David Mahoney Prize (past recipient) Roberts Prize (2013) for best paper Collaborations: Member of the Thalamus Conte Center studying thalamocortical networks, and collaborator in clinical trials for glioblastoma and Alzheimer’s treatments.

Carol Wilkinsonمشاهده پروفایل

استادیار

• Neurodevelopmental Disorders
• Electroencephalography (EEG)
• Language Development
• +۴ مورد دیگر

Carol Wilkinson is an Assistant Professor of Pediatrics at Harvard Medical School and serves as Director of Research for the Down Syndrome Program and Attending Physician in the Division of Developmental Medicine at Boston Children's Hospital. Her work focuses on neurodevelopmental disorders through clinical and research roles. Education : Princeton University (BA), University of California San Francisco (MD, PhD), Boston Children's Hospital (Fellowship) Her research explores neurodevelopmental disorders using EEG to identify biomarkers for language development in conditions like autism spectrum disorders , Down syndrome , and Fragile X syndrome . The Wilkinson Lab investigates thalamocortical development and environmental factors affecting early brain development , aiming to improve therapeutic outcomes for children with developmental challenges. Current studies include the BRIDGE Study (BRain Indicators of Developmental Growth), Baby Steps Study (primary care EEG assessments), and Fragile X Neural Markers Study . The lab emphasizes scientific integrity , clarity in communication , and community impact through translational research.

• Neuroscience
• Neurodegenerative Diseases
• Neural Circuits
• +۴ مورد دیگر

Dr. Sabine Krabbe is a Group Leader at the German Center for Neurodegenerative Diseases (DZNE) in Bonn. Her research focuses on neural circuits mediating adaptive learning and decision-making, particularly in relation to emotional/metabolic states and neurodegenerative diseases like Parkinson's. She employs advanced techniques such as single-cell activity measurements, optogenetics, and pharmacogenetics in mouse models. Her work explores how internal states (e.g., fear, hunger) modulate brain networks involving the ventral midbrain, striatum, and amygdala. She investigates pathological neuronal activity in early Parkinson's disease, linking it to cognitive and psychiatric symptoms preceding motor decline. Her lab also studies synaptic connectivity, neuronal diversity, and plasticity mechanisms using anatomical and molecular methods. Research trends include fear learning circuits , dopaminergic/GABAergic neuron interactions , neuroimaging in neurodegeneration , and cross-species behavioral comparisons . Key methodologies involve miniature microscopes , 3-photon imaging , and BRISC synaptic mapping . No scientific awards are mentioned in the provided text. Her lab actively participates in collaborative neuroscience initiatives and shares findings via open-access platforms. Current projects address how brain networks integrate internal states, pathological mechanisms in Parkinson's, and the role of neuromodulation in adaptive behavior.

Mareike Grotheerمشاهده پروفایل

پژوهشگر

• Educational Neuroscience
• Cognitive Neuroscience
• Developmental Psychology
• +۴ مورد دیگر

Mareike Grotheer is a researcher at the Department of Psychology, AE Educational Neuroscience at Philipps University of Marburg. Her work focuses on the neural basis of educational skills like reading and arithmetic, utilizing advanced neuroimaging techniques to explore how culturally acquired abilities shape brain organization and plasticity.