Epilepsy is represented as a seizure or a cluster of intensive neuronal activity across multiple spatial and temporal scales in neuronal networks of the brain. The recent experimental techniques can record these neuronal activities across several levels in space and time. However, most of the current computational focus is still on the intracranial electroencephalogram, which is a coarse-scale of neuronal activity. Thus, this project will utilize state-of-the-art artificial intelligence techniques to study epilepsy across the multiple scales in space and time, using experimental data of single neurons and ensemble neuronal activities in humans. The aim is to develop a computational framework based on computational modelling of neural networks as an efficient platform for analysing neuronal signals in humans.
The project will use cutting-edge methodological approaches to provide a better understanding of a complex disease at different levels, from single neurons to systems. The student will receive training in computational neuroscience and machine learning. While the focus of the project is on epilepsy, building on the strength of the Centre for Systems Neuroscience at UoL, the proposed approach will open possibilities for the study of other related questions by using computational techniques of machine learning and neuroscience modelling.
Entry requirements: You must hold (or be about to obtain) a First or an Upper Second Class UK undergraduate degree or an equivalent degree from a recognised EU institution, in an area relevant to the projects you are applying for.
Qualifications (or a combination of qualifications and experience) which demonstrate equivalent ability and attainment will also be considered.
For example, a less than sufficient first degree may be enhanced to meet the requirements by the acquisition of a Distinction at Masters level or significant research experience gained from employment).
Informal enquiries: If you have any questions or would like to find out more about IMPACT, please get in touch. Email us at [email protected]