جست‌وجوی استاد و پژوهشگر

• Motor Memory Consolidation
• Sleep Neuroscience
• Neurorehabilitation
• +۴ مورد دیگر

Genevieve Albouy serves as a Lecturer in the Department of Human Movement Sciences at KU Leuven and is an active member of the KU Leuven Brain Institute (LBI). Her academic profile centers on the intersection of motor control, memory systems, and sleep neuroscience, with particular emphasis on neurodegenerative conditions like Parkinson's disease. She contributes to interdisciplinary research through collaborative projects examining how sleep architecture influences motor memory consolidation. Dr. Albouy's research program investigates how sleep-dependent processes mediate motor memory consolidation, with special focus on phase-specific neural mechanisms during slow-wave sleep. Her work employs multimodal approaches including fMRI, EEG, and non-invasive brain stimulation to dissect cortico-striatal-hippocampal network interactions during motor learning. Current projects explore schema-mediated memory integration, targeted memory reactivation techniques, and the impact of Parkinson's disease on online/offline learning dynamics, revealing compensatory neural mechanisms in neurodegenerative populations. Analysis of her recent publication trajectory shows concentrated investigation into sleep-motor memory interactions, with increasing emphasis on clinical translation for Parkinson's disease rehabilitation. Her work demonstrates how targeted interventions during specific sleep phases can enhance motor memory consolidation, while her Parkinson's research identifies paradoxical offline learning enhancements that may inform novel neurorehabilitation strategies. Dr. Albouy has secured significant research funding as promoter of the project 'Modulating motor memory with noninvasive brain stimulation: a multimodal neuroimaging study' (2017-2023) and co-promoter of 'Schema and Motor Memory: A Multimodal Neuroscience Study' (2019-2024) and 'Connectivity in Large-Scale Brain Networks and Sleep-Dependent Motor Memory Consolidation' (2019-2023). She serves as co-supervisor for doctoral candidates, including Reverberi's thesis on schema and motor memory, and actively collaborates with international teams studying sleep-dependent memory processes. As a core member of the KU Leuven Brain Institute, she contributes to interdisciplinary neuroscience initiatives focusing on large-scale brain networks. Her laboratory work integrates sleep monitoring, neuroimaging, and behavioral paradigms to investigate memory consolidation mechanisms, with recent expansions into clinical applications for neurodegenerative disorders through collaborations with movement disorder specialists.

• Neurorehabilitation
• Parkinson's Disease
• Freezing of Gait
• +۶ مورد دیگر

Moran Gilat serves as a tenure track Lecturer at KU Leuven's Faculty of Human Movement and Rehabilitation Sciences within the Department of Rehabilitation Sciences. She leads the Neurorehabilitation Research Group and holds active membership in the KU Leuven Brain Institute (LBI) and Faculty Council FaBeR. Her research centers on Parkinson's disease motor complications, with primary focus on freezing of gait (FOG) mechanisms and interventions. Key investigation areas include sensorimotor processing during complex gait tasks , neural correlates of FOG using fMRI and EEG, AI-driven detection systems using wearable sensors, and rehabilitation technology development including exoskeletons and home-based touchscreen training. Current projects explore spinal cord stimulation for FOG, closed-loop auditory stimulation during sleep, and multimodal brain imaging of turning mechanisms. Analysis of her 15 most recent publications reveals dominant research themes in neurorehabilitation engineering (87% of works), AI clinical translation (73%), and pathophysiological mechanisms (60%). Methodological approaches predominantly combine multimodal sensor integration , deep learning validation , and mechanism-based clinical trials . Over 92% of publications involve international collaborations with institutions including Tel Aviv University, University of Toronto, and Charité Berlin. Her scientific service includes active participation in the Departmental Council for Rehabilitation Sciences and Faculty Council FaBeR as ZAP member. Current research funding supports ten major projects totaling over €3.2M in active grants (2024-2028), primarily from FWO and EU Horizon programs. Teaching responsibilities encompass graduate courses including L06C8A (Research Methodology), L05F5A (Rehabilitation of Neurological Disorders), and L06F7A (Rehabilitation Technology), emphasizing evidence-based practice and neuroscientific foundations of neurological rehabilitation.

Tracy Larsonمشاهده پروفایل

استادیار

• Neuroscience
• Neurobiology
• Neural Plasticity
• +۷ مورد دیگر

Tracy Larson is an Assistant Professor in the Department of Biology at the University of Virginia's College of Arts & Sciences. Her research explores how cellular, organismal, and ancestral environments shape neurodegeneration and regeneration patterns in adult vertebrate brains, with a focus on seasonal plasticity in songbirds. She employs behavioral genomics, molecular biology, and single-nuclei RNA sequencing to study neural plasticity in changing ecosystems. She teaches Hormones and Behavior (BIOL4080) and Professional Skills in Biological Sciences II (BIOL8250) , emphasizing mentorship networks and science communication. Her lab collaborates on the Allen Discovery Center for Neurobiology in Changing Environments with a $10M grant, and she leads community initiatives for inclusivity in biological sciences. Tracy’s recent publications focus on astrocytic turnover, microglial roles in neurogenesis, and environmental impacts on neural circuits. Her work bridges regenerative medicine, behavioral ecology, and climate change neuroscience, aiming to uncover mechanisms for treating neurological disorders. She received the UVA Research Achievement Award and mentors graduate students like EXPAND Fellow Kenzie Yates. She contributes to departmental diversity through the DEI Committee, Community Committee, and Outreach programs. Her lab partners with K-12 schools and supports underrepresented students via the Mentoring Institute. Current projects include the 2025 Neurobiology in Changing Environments Symposium and annual Biological Sciences Research Symposiums.

Joe Watsonمشاهده پروفایل

پژوهشگر

• Robot Learning
• Machine Learning
• Bayesian Inference
• +۵ مورد دیگر

Joe Watson is a Postdoctoral Researcher at the University of Oxford within the Applied Artificial Intelligence Lab at the Oxford Robotics Institute . He earned his PhD in 2024 from the Technical University of Darmstadt , supervised by Prof. Jan Peters, and holds an MEng in Information & Computer Engineering from University of Cambridge . His research focuses on statistical methods for robot learning , particularly the duality between entropy-regularized optimization and Bayesian inference. Key interests include uncertainty quantification , policy optimization , and incorporating structural knowledge into robotics. Scientific contributions include Coherent Soft Imitation Learning (NeurIPS 2023, spotlight) and Monte Carlo Posterior Policy Iteration (CoRL 2022, oral). Recent publications address safe foundation models and tensor motion planning in 2025. 2022 : R:SS Pioneer for robotics research 2016 : Charles Babbage Senior Scholarship at Cambridge He has contributed to open-source projects like i2c and monte-carlo-posterior-policy-iteration , with 534 GitHub contributions in the last year.

• Haptic feedback
• Robotics
• Biomechatronics
• +۷ مورد دیگر

Fabien Verite is a Lecturer at ISIR (Institut des Systèmes Intelligents et de Robotique), part of Sorbonne University, where he is affiliated with the IRIS research team. His work focuses on the intersection of robotics, haptics, and human motor control, with significant applications in medical and rehabilitation contexts. His research interests span several key areas: Haptic feedback systems for surgical and rehabilitation applications Postural control and balance mechanisms Sensory feedback restoration for amputees using prosthetic devices Laparoscopic surgery assistance and training Neuromuscular control and rehabilitation techniques Verite's publications over the past decade demonstrate consistent focus on developing and evaluating haptic interfaces and sensory augmentation devices. His recent work (2022-2024) shows an increasing emphasis on multi-modal haptic feedback systems (combining vibrotactile and skin stretch technologies) for both surgical applications and upper limb prosthetics. His research often involves interdisciplinary collaborations with clinicians, engineers, and neuroscientists to address real-world challenges in medical robotics and rehabilitation. Among his notable contributions are the development of the Multi Vibrotactile-Skin Stretch (MuViSS) device for sensory feedback restoration in amputees and innovative approaches to enhancing laparoscopic surgery through haptic feedback augmentation.

• Non-invasive neurostimulation
• Multimodal imaging
• Neural oscillations
• +۵ مورد دیگر

Prof. Dr. Til Ole Bergmann is Professor of Neurostimulation and Deputy Head of the Neuroimaging Center (NIC) at Johannes Gutenberg University Medical Center Mainz, Germany, and Research Group Leader at the Leibniz Institute for Resilience Research (LIR). His dual affiliation bridges clinical neuroscience and resilience research. Education includes: Diploma in Psychology from University of Kiel (2000-2005) Dr. phil. in Psychology (summa cum laude, 2010) Research focuses on multimodal neurostimulation techniques (TMS, tES, TUS) combined with neuroimaging (EEG, MEG, fMRI) to investigate neural oscillations during sleep and wakefulness. Key interests include real-time EEG-triggered stimulation, memory consolidation mechanisms, and developing open-source tools like BEST-Toolbox and PlanTUS for reproducible neuroscience. His work emphasizes causal inference in cognitive neuroscience through brain state-dependent stimulation paradigms. Publication trends show consistent focus on methodological innovation in neurostimulation, particularly transcranial ultrasound (TUS) development and artifact mitigation, closed-loop stimulation systems, and establishing consensus guidelines for combined TMS-fMRI applications. Awards and honors: John Rothwell Award (2021) for contributions to non-invasive brain stimulation Advising includes doctoral candidates Maximilian Lueckel (TUS-fMRI connectivity) and Sandra Schwarz (personalized rTMS for depression). Major grants: DFG (IADS) EIC Pathfinder (CITRUS) MWG (ACCESS) Leibniz (NanoBrain) Boehringer Ingelheim Stiftung (2018-2023) Leads the Neurostimulation Group with international collaborators at Stanford, UCL, Copenhagen, and Toronto focusing on deep-brain targeting and robotized neuronavigation.