Investigating electrophysiological brain network dynamics and mechanisms underlying attentional processes during learning
Lead Research Organisation:
University of Oxford
Department Name: Interdisciplinary Bioscience DTP
Abstract
In both adults and children, the efficiency of learning is heavily dependent on cognitive control and executive function. In my project, I will aim to study the underlying brain networks and mechanisms involved in these processes. Using newly developed machine learning models of network dynamics, I will investigate network connectivity and coherence patterns and relate them to behavioural indices of adult learning using resting state and task electroencephalography (EEG) data. Later, I will collect further electrophysiological datasets, employing new behavioural paradigms and data collection methods (such as higher density EEG or OPM-MEG) and extend computational methods for modelling brain network dynamics. Additionally, I will use collected data to build on my previous work investigating relationships between memory replay and resting-state brain networks.
- Understanding the rules of life
- Transformative technologies
- Bioscience for an integrated understanding of health"
- Understanding the rules of life
- Transformative technologies
- Bioscience for an integrated understanding of health"
Organisations
People |
ORCID iD |
Gaia Scerif (Primary Supervisor) | http://orcid.org/0000-0002-6371-8875 |
Studentship Projects
Project Reference | Relationship | Related To | Start | End | Student Name |
---|---|---|---|---|---|
BB/T008784/1 | 01/10/2020 | 30/09/2028 | |||
2735194 | Studentship | BB/T008784/1 | 01/10/2022 | 30/09/2026 |