Portfolio

Ising Models of Criticality in the Zebrafish Brain



Developed numerical simulations of ideal models of criticality with the random field Ising model, and compared the observed dynamics to single-cell resolution calcium imaging data of the zebrafish brain. We investigated how sub-sampling and finite sized systems change self-organized criticality metrics such as power laws and universal scale.

Honours project under the supervision of Geoffrey J Goodhill and Michael H McCullough at the Queensland Brain Institute.

Automatic Neuromuscular Junction Electrophysiology Analysis



Used signal processing methods to automatically extract the voltage changes from spontaneous and evoked activity in the neuromuscular junction of cane toads. The co-localization of neuron vesicles and muscular active zones was then analyzed with image processing techniques.

Undergraduate project taken as part of NEUR3001, taught by Peter G Noakes.