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Network dynamics
I am currently seeking opportunities to study neural dynamics, specifically in areas such as deep
brain stimulation (DBS), brain-computer interfaces (BCI), epilepsy, and methods of capturing the
electrical activity of the brain, including microelectrode arrays (MEA), shank electrodes,
stereoelectroencephalography (SEEG), and electrocorticography (ECoG).
One of my current projects is the analysis of cellular-scale network dynamics in microelectrode array
recordings from 2D in vitro cortical cultures and 3D human cerebral and spinal cord organoids. This
research aims to understand the underlying neural activity and connectivity in these model systems,
which has potential implications for the understanding and treatment of neurological disorders.
- Dimensionality analysis of network dynamics using effective rank. Extending the existing
methodology from correlation matrices to spatiotemporal neuronal activity. Benchmarking the two
approaches and examining the effects of applying variance stabilising transformation. Tracking
changes in complexity and synchronicity of network patterns of activity during neurodevelopment
in healthy and Mecp2-deficient networks. Collaboration with Tim Sit (Sainsbury Wellcome Centre,
UCL, UK).
- Network control theory applied to cellular-scale network dynamics. Based on seminal work
on controllability of
complex networks and its applications to network neuroscience. Extended the average and modal
controllability measures to functional connectivity in 2D cortical cultures, and introduced a
novel metric based on the volume of controllability Gramian (feasibility of driving the network
dynamics to arbitrary states with unit input energy). Collaboration with Tim Sit (Sainsbury
Wellcome Centre, UCL, UK).
My undergraduate thesis is now available here.
Our poster at FENS.
Poster summarising my undergraduate research
on network dimensionality (very preliminary data!).
Another poster, this time focusing on network
controllability.