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Amy LeeView profile

Professor

• Neuroscience
• Molecular Biology
• Genetics & Genomics
• +6 more

Amy Lee is a Professor of Neuroscience and affiliated with the Interdisciplinary Life Sciences Graduate Programs at the University of Iowa. She holds a PhD in Neuroscience from the University of Virginia (mentored by Kevin Lynch) and conducted postdoctoral research with William Catterall at the University of Washington. Her academic journey includes roles as Assistant Professor at Emory University (2002–2009) and subsequent promotions to Professor and Assistant Dean for Research in the Carver College of Medicine (2014–2019). Her research focuses on voltage-gated Ca 2+ channels, particularly their roles in nervous system development and function. Key projects include studying Cav channel structure/function relationships, axonal regeneration mechanisms involving CaBPs, and retinal circuit development. Techniques employed span electrophysiology, imaging, and machine learning. Her articles highlight breakthroughs in channel pharmacology, synaptic organization, and gene therapy applications. Notable awards include the Women of Innovation Award (2015), AAMC Video Competition Award (2016), and teaching excellence recognitions. She leads the Lee Lab, advancing interdisciplinary approaches to neurobiology and disease.

Sonia BansalView profile

Assistant Professor

• Schizophrenia
• Cognitive Neuroscience
• Visual Attention and Perception
• +1 more

Sonia Bansal, PhD, is an Assistant Professor in the Department of Psychiatry at the University of Maryland School of Medicine (UMSOM), located at the Maryland Psychiatric Research Center. Her research focuses on understanding perceptual abnormalities in schizophrenia, employing methods such as behavioral/psychophysical techniques, eye tracking, first-person accounts, and event-related potential (ERP) recordings. She investigates the interplay between sensorimotor function, cognitive deficits, and psychotic symptoms, informed by theories of predictive mechanisms in sensorimotor control. Education: BSc in Neuroscience & Psychology (Drake University, 2008); MSc in Biotechnology (Johns Hopkins University, 2011); PhD in Neuroscience (George Mason University, 2016). Key research areas include schizophrenia, cognitive neuroscience, visual attention and perception, and sensorimotor systems. Her work aims to elucidate mechanisms underlying neurocognitive impairments and develop innovative behavioral interventions. Her publications span 2017 to 2020, addressing topics like saccadic deficits, working memory abnormalities, and top-down control failures in schizophrenia. Dr. Bansal’s research has not yet been highlighted with named awards, but she actively contributes to the field through grants and collaborations. She is affiliated with the Maryland Psychiatric Research Center and focuses on translational research to improve patient outcomes.

Arkarup BanerjeeView profile

Assistant Professor

• Neuroscience
• Vocal Communication
• Systems Neuroscience
• +4 more

Arkarup Banerjee is an Assistant Professor at Cold Spring Harbor Laboratory (CSHL) within the School of Biological Sciences , where he investigates neural circuits underlying vocal communication in mammals using the Alston’s singing mouse as a model. His research integrates systems neuroscience and comparative evolutionary analyses to address how auditory-motor interactions generate sensorimotor loops and how neural circuitry evolves to enable behavioral novelty. Ph.D., Neuroscience, CSHL School of Biological Sciences, 2016 M.Sc., Biophysics, Tata Institute of Fundamental Research, Mumbai, India, 2010–2016 B.Sc., Biochemistry, University of Delhi, 2004–2007 His research interests span neural circuits for vocal communication , evolutionary modifications of brain structures , and sensorimotor integration . He employs techniques like optogenetics , chronic electrophysiology , and MAPSeq for high-throughput brain-wide circuit mapping. Recent work highlights the role of motor cortical dynamics in hierarchical vocal control and midbrain circuit modulation for species-specific vocal modes. His publications reveal trends in comparative neuroscience and neuroethology , with a focus on olfactory processing , evolutionary brain mapping , and neural dynamics . Key subfields include sensorimotor loops , cross-species vocalization , and gain control mechanisms . Scientific awards include the 2025 McKnight Scholar Award, 2024 Winship Herr Award for Teaching, and 2022–2024 Searle Scholar. He also received the 2017 Simons Foundation Junior Fellowship and the 2007 Karyn Kupcinet Fellowship.

Roxana BurciuView profile

Assistant Professor

• Neuroimaging
• Parkinson's Disease
• Movement Disorders
• +5 more

Roxana Burciu is an Assistant Professor at the University of Delaware's College of Health Sciences, Department of Kinesiology & Applied Physiology. Her research focuses on neuroimaging correlates of motor impairment in Parkinson's disease, clinical markers of prodromal PD, and neuroimaging outcomes in rehabilitation. PhD in Neuroscience (University of Duisburg-Essen, 2013) M.Res in Cognitive Neuropsychology (University of Birmingham, 2009) B.Sc in Psychology (Alexandru Ioan Cuza University, 2008) Dr. Burciu's work employs non-invasive brain imaging and behavioral assessments to study Parkinson's disease mechanisms and rehabilitation strategies. She explores functional connectivity changes, free-water diffusion markers, and motor cortex physiology. The Motor Neuroscience and Neuroimaging Research Lab , under her direction, investigates neural mechanisms in health and disease, with recent studies on multi-limb coordination in PD and aging brain microstructural changes. Marie Curie Early Stage Researcher Fellowship (2010) Her recent publications (2023-2025) analyze Parkinson's progression via structural/imaging biomarkers, bimanual coordination deficits, and sodium-sensing brain networks. Collaborative grants with institutions like University of Florida and NIH support her work.

Elena BorraView profile

Associate Professor

• Neuroscience
• Cortical Networks
• Motor Control
• +2 more

Elena Borra is an Associate Professor in the Department of Medicine and Surgery at the University of Parma, where she leads research on cortical and subcortical networks for voluntary motor control in primates. With extensive international collaborations across Europe and Japan, her work integrates anatomical tracing, neuroimaging, and computational approaches to understand brain connectivity. Her primary research interests focus on: Cortical networks for motor control and sensorimotor integration Primate neuroanatomy and comparative brain organization Structural and functional brain connectivity using tractography Subcortical contributions to motor circuitry Publication analysis reveals consistent themes in neural pathway mapping, with recent emphasis on tractography validation, cortico-basal ganglia circuits, and evolutionary neuroanatomy. Her work demonstrates increasing integration of multimodal techniques including diffusion MRI, neural tracers, and functional connectivity across 15+ publications. Research funding includes: FIL (Local University Research Fund) Cariparma Foundation Grant PRIN-MIUR 2017 project: Performing Actions in a Changing Environment (PACE) FFABR ANVUR basic research funding Dr. Borra leads the Neuroscience Unit and maintains active collaborations with laboratories at KU Leuven, Boston University, Kyoto University, and Sapienza University of Rome. She organized the international conference "Different elements of primate neural networks in the connectome era" in 2017.

• Neuroscience
• Neurophysiology
• Motor Control
• +4 more

Giuseppe Luppino is a Full Professor of Physiology at the Faculty of Medicine and Surgery, University of Parma, since 2006. His career spans multiple academic roles, including Associate Professor (1992–2002) and Assistant Professor (1990–1992) at the same institution, with international experience at Duke University (1985) and Nihon University (1992). Education: MD in Medicine and Surgery, University of Parma (1982) Specialization in Neurology, University of Parma (1986) PhD in Neurological Sciences, Rome (1988) His research focuses on neuroanatomy , motor control , and cortical connectivity in primates, particularly examining thalamic gradients, insular networks, and cortico-basal ganglia circuits. His publications from 2019–2025 reveal a consistent emphasis on large-scale sensorimotor networks , cross-hemisphere projections , and hodological architecture using neural tracers and neuroimaging. Recent articles (2020–2025) analyze ventral visual stream integration , claustrum involvement in cortico-basal ganglia loops, and functional connectivity patterns in macaque brains. These works highlight his expertise in anatomical-functional correlations and cognitive-motor systems .

• Biomedical Engineering
• Movement Analysis
• Geriatrics
• +7 more

Dr. Alan Godfrey is a researcher at Newcastle University specializing in biomedical engineering, geriatrics, and movement analysis. His work focuses on wearable sensor technology for assessing gait, postural control, and physical activity in older adults, Parkinson's disease patients, and cancer survivors. Collaborating extensively with Professor Lynn Rochester, Dr. Godfrey's research spans rehabilitation engineering, oncology, and digital health applications. Key research areas: Biomedical Engineering, Parkinson's Disease, Wearable Sensors, Ageing Major collaborations: Professor Lynn Rochester, Dr. Silvia Del Din, Dr. Brook Galna Technologies: Accelerometry, Eye-tracking, Exergaming, Free-living monitoring His recent publications (2016-2024) analyze gait variability, postural transitions, and ambulatory activity using wearable accelerometers, with applications in Parkinson's disease, stroke recovery, and musculoskeletal oncology. He has contributed to validation studies for motion capture systems and developed algorithms for step detection and postural control assessment. Dr. Godfrey's work intersects geriatric health, digital health technology validation, and rehabilitation science, particularly in Parkinson's disease and cancer recovery contexts. His research emphasizes translating sensor-based metrics into clinical practice for improved functional outcome assessments.

Luisa SartoriView profile

Associate Professor

• Neuroscience
• Motor Control
• Social Cognition
• +3 more

Luisa Sartori is an Associate Professor at the University of Padua, with research focusing on the intersection of neuroscience, motor control, and social cognition. Her work investigates the kinematic and neurophysiological aspects of human action through multidisciplinary approaches. Her research spans corticospinal excitability modulation during action observation, facial expression dynamics, and the neural correlates of social interaction. She has extensively studied reach-to-grasp movements, motor priming, and the impact of social intentions on motor execution. Her publications reveal a strong emphasis on motor cortex function, kinematic analysis of social behaviors, and the neurophysiological basis of complementary actions. She utilizes techniques including transcranial magnetic stimulation (TMS), fMRI, and multimodal movement tracking.

Dora AngelakiView profile

Professor

• Neural Science
• Computational Neuroscience
• Sensory Integration
• +3 more

Dora Angelaki is a Professor of Neural Science and Mechanical and Aerospace Engineering at New York University. She holds a Ph.D. from the University of Minnesota (1991). Her research focuses on understanding the computational principles underlying brain function, particularly in navigation, multi-sensory integration, and causal inference. She employs engineering approaches like Kalman filters and POMDP frameworks to study neural dynamics in macaques and rodents. Her work bridges neuroscience with artificial intelligence, aiming to explain how the brain optimally processes sensory information and how deficits arise in neuropsychological disorders. Education: Ph.D., 1991, University of Minnesota. Research Interests: Neural implementation of canonical computations, sensory inference, spatial orientation, and computational models of cognition. She investigates how hierarchical causal inference is implemented across brain regions, emphasizing dynamic reconfiguration of neural connectivity and belief propagation. Her lab explores these mechanisms using naturalistic foraging tasks and closed-loop virtual environments. Lab Website: Pending Contact: da93@nyu.edu Advising and Grants: No explicit student advisees or grant details provided in text. Labs/Teams: Her research group focuses on systems, computational, and cognitive neuroscience, with an international collaborative network as noted in her 2017 publication.

• Robotics
• Computer Vision
• Human-Robot Interaction
• +3 more

Alessio Xompero is a Research Fellow at Queen Mary University of London's School of Electronic Engineering and Computer Science. His work focuses on robotics, computer vision, and human-robot interaction, particularly in object affordance understanding, multimodal perception, and safe human-robot collaboration. He develops algorithms for robotic manipulation, perception under occlusion, and adversarial robustness in AI systems. Xompero contributes to benchmark datasets like CORSMAL and has published extensively on topics including container property prediction, audio-visual classification, and view-overlap recognition across cameras. His research integrates machine learning with robotics applications, addressing challenges such as real-time grasping, privacy-aware AI models, and sensor fusion. Notable projects include the mixed-reality dataset for 6D pose estimation and work on adversarial attacks/defenses in visual perception systems. Xompero's contributions advance both theoretical understanding and practical implementations of autonomous systems. Key themes in his recent work include improving robotic systems' adaptability to unstructured environments, enhancing safety in human-robot interactions, and developing interpretable models for privacy preservation. He actively participates in robotics competitions and benchmark evaluations to validate algorithmic performance under real-world conditions.

Fred KeijzerView profile

Associate Professor

• Cognitive Science
• Neurosciences
• Philosophy of Mind
• +3 more

Dr. Fred Keijzer is an Associate Professor at the Faculty of Philosophy, University of Groningen, specializing in Theoretical Philosophy. He holds a PhD in cognitive science and philosophy from Leiden University. His research focuses on embodied cognition, biological interpretations of agency, and the philosophical implications of science fiction. He received a Vidi grant (2002) for 'Recasting Cognition as Layered Agency' and has authored influential works like Representation and Behavior (MIT Press, 2001) and Filosofie van de toekomst (2010). His interdisciplinary work bridges philosophy, neuroscience, and biology, emphasizing evolutionary and dynamical systems approaches to cognition. Education: PhD in Cognitive Science and Philosophy (Leiden University). Key research areas include neurobiology, cognitive systematics, and ecological embodiment. He has supervised 3 academic works and contributed to special journal issues on basal cognition, early neural evolution, and nervous system functions. Awards: Vidi Grant (2002) Publications: Over 60 peer-reviewed articles in journals like Philosophical Psychology , Adaptive Behavior , and Philosophical Transactions of the Royal Society B . Activities: Invited speaker at international conferences on perception, action, and cognitive evolution.

Sina DavidView profile

Assistant Professor

• Biomechanics
• Sports Medicine
• Machine Learning in Healthcare
• +4 more

Dr. Sina David is an Assistant Professor at Vrije Universiteit Amsterdam, holding dual affiliations in the Faculty of Behavioural and Movement Sciences (Biomechanics department) and AMS - Rehabilitation & Development . Their research focuses on biomechanical applications of machine learning in healthcare, particularly stroke rehabilitation, injury prevention, and gait analysis. David has led projects like the Rethinking risk of falls in stroke survivors using machine learning approaches and contributed to initiatives like Snowboard TeamExtreme , applying biomechanics to sports performance. Current academic roles include teaching Data in Sport and Health , Movement Analysis , and collaborating on courses like Klinische Bewegingsanalyse . David is actively involved in developing open-source tools for gait recognition and has pioneered methods like the RYSEN body weight supported gait training system. Their work integrates unsupervised learning techniques to extract clinical biomarkers from motion data, advancing personalized rehabilitation strategies. Key contributions span 62 research outputs, emphasizing neural network applications in biomechanics. Media engagements include discussions on stroke rehabilitation advancements and AI-driven sports technology. David’s research bridges computational methods with clinical outcomes, aiming to improve mobility recovery and athletic performance through data-driven approaches.

Fang JiangView profile

Associate Professor

• Neuroscience
• Cognitive Psychology
• Sensory Systems
• +3 more

Fang Jiang is the Chair of the Psychology Department and an Associate Professor at the University of Nevada, Reno. Her research focuses on the relationship between brain structure/function and behavior, particularly cross-modal plasticity in sensory-deprived populations. She employs neuroimaging and behavioral measures, with notable work on auditory motion processing in early-blind individuals and age-related sensory deficits. Jiang earned her Ph.D. in Cognition and Neuroscience from the University of Texas at Dallas (2007) and holds significant awards, including the NIH K99/R00 Award (2013) and a Human Frontier Science Program Fellowship (2008-2011). Education: Ph.D. in Cognition and Neuroscience, University of Texas at Dallas, 2007 Postdoctoral Fellowship, Human Frontier Science Program, 2008-2011 Research Interests: Neural mechanisms of cross-modal plasticity Visual, auditory, and tactile integration Developmental adaptations in sensory deprivation Age-related sensory and cognitive changes Neuroimaging and behavioral experimental methods Key Research Trends: Recent articles emphasize cross-modal processing, sensory adaptation, and multisensory integration across populations like the blind, deaf, and older adults. Work spans visual illusions (e.g., Flashed Face Distortion Effect), motor-sensory synchronization, and structural engineering applications. Awards: NIH Pathway to Independence (K99/R00) Award (2013) Human Frontier Science Program Postdoctoral Fellowship (2008-2011) Advising & Grants: Leads the Plasticity Lab, investigating brain-behavior relationships. Collaborates on NIH-funded projects exploring cross-modal plasticity and sensory adaptation. Advises students on neuroimaging and behavioral experiments. Labs/Teams: Director of the Jiang Plasticity Lab, which studies neural reorganization and sensory integration in diverse populations.

Jeffrey PadbergView profile

Professor

• Comparative Neurobiology
• Somatosensory Systems
• Cortical Organization
• +1 more

Dr. Jeffrey Padberg is a Professor and Pre-Dentistry Advisor in the Department of Biology at the University of Central Arkansas. He holds a Ph.D. in Neuroscience from Tulane University (2002) and joined UCA in 2008. Research focuses on comparative neurobiology of mammalian sensory systems. Work includes cortical connectivity mapping in primates, somatosensory processing, and neuroethological approaches to brain evolution. Publications examine functional organization of parietal cortex and forelimb representation in mammals. Collaborates with major neuroscience research groups on cortical circuitry projects. Teaches Principles of Biology, Neuroscience, Neuroethology, and Experimental Neurobiology. Advises pre-dental students across scientific disciplines.

François LallemendView profile

Professor

• Cell and Molecular Biology
• Neurosciences
• Sensory Neuroscience
• +4 more

François Lallemend is a Professor of Neurobiology of Sensory Systems at the Department of Neuroscience, Karolinska Institutet since 2023. He holds a PhD from GIGA Neuroscience, Liège, Belgium, and completed postdoctoral research at Karolinska Institutet. His lab investigates sensory neuron development and function, focusing on auditory perception and proprioception using advanced techniques like single-cell transcriptomics. Key research themes include neuronal circuit assembly, sensory plasticity, and disease-related dysfunction. Lallemend has secured grants from the Knut and Alice Wallenberg Foundation and Swedish Research Council. Notable awards include the Wallenberg Academy Fellow in Medicine. His team includes PhD and Master's students exploring sensory neuroscience. Education: PhD (GIGA Neuroscience, Belgium), Postdoc (Karolinska Institutet) Research Interests: Sensory neuron diversification, neuronal circuitry, auditory and proprioceptive systems Grants: KAW Project Grant (2023–2028), KI Consolidator Grant (2020–2024) Lab members include Meghna Kolluri (PhD), Hung Sheng Shih (PhD), and collaborators on projects like cochlear gene therapy. Lallemend’s work bridges basic research with translational applications in sensory disorders.