People

• Brain-computer Interface
• Neurorehabilitation
• Signal Processing
• Cloud Computing
• Embedded system
• Internet of Things

As part of the UCIS Lab, I look at the combination of Neuroscience and Information Retrieval. My focus is on Information Overload.

In my research, I create and apply data analysis tools to extract information from biomedical signals and clinical time series.

My main aim is to reveal the subtle changes that major diseases (e.g., Alzheimer's and epilepsy) cause in the brain activity.

In collaboration with researchers at Edinburgh, across the UK and overseas, I am currently working in the processing and analysis of biomedical signals, particularly human brain activity. By developing and applying signal processing methods, I aim at increasing our understanding of how several brain conditions progress. Of particular interest is the evaluation of brain functional connectivity in both neurodevelopmental and neurodegenerative diseases to understand how they affect the way in which different brain regions interact with each other. I am also interested in the interplay between structure and function in the brain and in the application of pattern recognition techniques to highly-dimensional clinical datasets to support decision making. Finally, I also work in the development of non-invasive methods for rehabilitation purposes, being either the dexterous controls prostheses for amputees or brain-computer interfaces.

For additional information, please see: http://www.research.ed.ac.uk/portal/jescuder

ESRC Advanced Quantitative Pathway doctoral student focussing on age-related changes in the content and temporal dynamics of visual information processing.

Magdalena is a neuropsychologist and cognitive neuroscientist in Psychology at the University of Stirling. Beside Magnetic Resonance, research questions in her lab are answered using brain stimulation (TMS and tDCS) and (mobile) EEG as well as behavioural techniques such as eye-movements and movement kinematics and behavioural lesion studies in neurological patients. Basic science in her lab centres primarily around perception and action ranging from visuomotor function to social neuroscience. Her applied work is on motor rehabilitation and more recently on brain injury diagnostics too. She works collaboratively towards mobile neuroimaging solutions to investigate more real-world cognition. Magdalena is interested in brain plasticity both with regards to cognitive architecture and changes of function in stroke, traumatic brain injury, and abnormal development such as autism. Due to the increasing societal challenge of dementia she wants to contribute to mobilising the neuroscience community to answer perhaps by clarifying the role of plasticity in delaying dementia onset. Magdalena is very interested in collaborating in particular on understanding the normal brain through the study of people with brain damage and work towards evidence-based changes in practice. For details on research activity see www.StirlingBrains.org ; www.MobileCognition.org ; https://sites.google.com/site/magdalenaietswaart/home