Models and Methods with Applications in Neuroscience

A single neuron may encode information by fluctuating between two stimuli from trials to trials, or present a ’time division multiplexing’ within a trial. Such turn-taking activities presented by individuals are shown to present a coordination pattern in neural population. We aim to develop statistical methods and models to explore how neuron population coordinate to preserve multiple simultaneously presented stimuli.

Network Analysis

Dynamic network data have become ubiquitous in social network analysis, with new information becoming available that capture when friendships form, when corporate transactions happen and when countries interact with each other. Flexible and interpretable models are needed in order to properly capture the behavior of individuals in such networks.