A5046991323- Medical Imaging and Pathology Studies
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Advanced Neuroimaging Techniques and Applications
- EEG and Brain-Computer Interfaces
- Complex Network Analysis Techniques
- Complex Systems and Time Series Analysis
- Epilepsy research and treatment
- Opinion Dynamics and Social Influence
University of Oxford
2023-2025
Wellcome Centre for Integrative Neuroimaging
2023-2025
There is growing interest in studying the temporal structure brain network activity, particular, dynamic functional connectivity (FC), which has been linked several studies with cognition, demographics and disease states. The sliding window approach one of most common approaches to compute FC. However, it cannot detect cognitively relevant transient changes at time scales fast that is, on order 100 ms, can be identified model-based methods such as HMM (Hidden Markov Model) DyNeMo (Dynamic...
CUPID is a proposed future tonne-scale bolometric neutrinoless double beta decay ($0νββ$) experiment to probe the Majorana nature of neutrinos and discover Lepton Number Violation in so-called inverted hierarchy region neutrino mass. will be built on experience, expertise lessons learned CUORE, exploit current CUORE infrastructure as much possible. In order achieve its ambitious science goals, aims dramatically reduce backgrounds interest introducing high efficiently $α$/$β$ discrimination...
Functional neuroimaging techniques allow us to estimate functional networks that underlie cognition. However, these are often estimated at the group level and do not for discovery of, nor benefit from, subpopulation structure in data, i.e. fact some recording sessions maybe more similar than others. Here, we propose use of embedding vectors (c.f. word Natural Language Processing) explicitly model individual while inferring dynamic across a group. This vector is effectively "fingerprint" each...
Neural activity contains rich spatiotemporal structure that corresponds to cognition. This includes oscillatory bursting and dynamic span across networks of brain regions, all which can occur on timescales tens milliseconds. While these processes be accessed through recordings imaging, modeling them presents methodological challenges due their fast transient nature. Furthermore, the exact timing duration interesting cognitive events are often a priori unknown. Here, we present OHBA Software...
Neural activity contains rich spatiotemporal structure that corresponds to cognition. This includes oscillatory bursting and dynamic span across networks of brain regions, all which can occur on timescales tens milliseconds. While these processes be accessed through recordings imaging, modeling them presents methodological challenges due their fast transient nature. Furthermore, the exact timing duration interesting cognitive events are often a priori unknown. Here, we present OHBA Software...
There is growing interest in studying the temporal structure brain network activity, particular, dynamic functional connectivity (FC), which has been linked several studies with cognition, demographics and disease states. The sliding window approach one of most common approaches to compute FC. However it cannot detect cognitively relevant transient changes at time scales fast i.e. on order 100 milliseconds, can be identified model-based methods such as HMM (Hidden Markov Model) DyNeMo...