- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
- Neural dynamics and brain function
- Memory and Neural Mechanisms
- Wind Energy Research and Development
- Lower Extremity Biomechanics and Pathologies
- Circadian rhythm and melatonin
- Neuroscience and Neuropharmacology Research
- Optical Imaging and Spectroscopy Techniques
- Energy Load and Power Forecasting
- Machine Fault Diagnosis Techniques
- Advanced Neural Network Applications
- 3D Surveying and Cultural Heritage
- Advanced Image Fusion Techniques
- Spectroscopy Techniques in Biomedical and Chemical Research
- Biofield Effects and Biophysics
- Topic Modeling
- Cellular Automata and Applications
- Sports Performance and Training
- Icing and De-icing Technologies
- Time Series Analysis and Forecasting
- Algorithms and Data Compression
- Structural Health Monitoring Techniques
- Infrared Target Detection Methodologies
- Radioactive Decay and Measurement Techniques
Sirris
2020-2025
Radboud University Nijmegen
2014-2016
Sorbonne Université
2014
Amsterdam Neuroscience
2014
University of Amsterdam
2008-2014
Neuroelectronics Research Flanders
2014
Optical brain stimulation gained a lot of attention in neuroscience due to its superior cell-type specificity. In the design illumination strategies, predicting light propagation specific tissue is essential and requires knowledge optical properties that tissue. We present estimated absorption reduced scattering rodent using non-destructive contact spatially resolved spectroscopy (cSRS). The obtained cortex, hippocampus striatum are similar, but lower than thalamus, leading less deep broader...
The NMDA receptor plays a key role in synaptic plasticity and its disruption leads to impaired spatial representation the CA1 area of hippocampus, with place cells exhibiting larger fields (McHugh et al., 1996). Place are defined by nonspatial inputs given context, intrinsic network processes, such as phase precession, but also matching these pre-existing representation. Larger may be consequence spatially widened firing upon single crossing field, or increased variability field positions...
Nowadays, biophotonics is widely used in neuroscience. The effectiveness of biophotonic techniques, such as fluorescence imaging and optogenetics, affected by the optical properties examined tissue. Therefore, knowledge these essential to carefully plan experiments. Mice rats are neuroscience studies. However, reports about their brains very rare. We measured absorption <i>μ<sub>a</sub></i> reduced scattering <i>μ'<sub>s</sub></i> coefficients native rat brain visible near-infrared...
The integration of Translation Management Systems (TMS) and Large Language Models (LLMs) has revolutionized the translation landscape, offering nuanced culturally sensitive translations. This paper explores lessons learned from developing BWX Generative Engine, an award-winning AI tool for translation, which exemplifies application generative in management. Lessons include transformative impact AI, accelerated delivery beta features with LLMs, strategic enabling technologies. Additionally,...
Closed-loop brain computer interfaces are rapidly progressing due to their applications in fundamental neuroscience and prosthetics. For optogenetic experiments, the integration of optical stimulation electrophysiological recordings is emerging as an imperative engineering research topic. Optical does not only bring advantage cell-type selectivity, but also provides alternative solution electrical stimulation-induced artifacts, a challenge closedloop architectures. A closed-loop system must...
Abstract The precise quantification of wind turbine long- and short-term performance is crucial to assess the health state ageing turbines evaluate benefit maintenance activities. Indeed, during its lifetime, can experience a decay in terms (e.g. due wear) or improvement technology optimizations). For this reason, we developed an integrated data-driven methodology characterize trends variability turbines. validated on synthetic dataset with imposed then tested real farm operated by Engie...
Foot plantar pressure measurements provide a window into the analysis of gait and posture offer valuable insights movement quality that are used in health, sports commodities (e.g. shoes) sectors. In this paper, we propose novel data-driven methodology to profile subjects performing running exercise identify groups with unique characteristics. The quantifies trial-base similarities using dynamic time warping and, thereby, group different trials based on their precise spatial temporal...
Foot plantar pressure measurements allow quantitative analysis and classification of gait patterns can provide valuable insight into the execution different movements, with applications in health care sports. In this paper, we introduce a novel data-analysis methodology that allows to decompose running trials from subjects its constituent spatial temporal building blocks. The method is built around non-negative matrix factorization clustering activation observed across all (inter-...
The formation of ice on the blades wind turbines can severely affect their power production, lead to a degradation assets and even cause safety hazards. Predicting blade icing allows mitigating or preventing altogether its impact performance by activating heating mechanisms. A novel data-driven approach is proposed which estimates turbine-specific risk between 0 1 using only meteorological historical forecasted data. method based creation repository profiles characteristics icing, all other...