I'm a recent PhD graduate in neuroscience at UBC, in Nick Swindale's lab. My interest lies in computational neuroscience, more specifically, the activity of neural assemblies in the brain. I have a notion that what we learn about the rules of neural interaction governing perception, memory, decision making and ultimately behaviour, can be generalized to other complex systems of interacting agents -- like, perhaps, human beings making up a society. This might be a naive notion.
I have three projects here: dimstim, spyke, and neuropy. The first generates multidimensional visual stimuli with high temporal precision. The second takes raw extracellular neural waveforms and sorts them into spikes from distinct neurons. The third analyzes spike trains in as many ways as possible.
Here's my CV.
Here's my PhD thesis (June, 2015): Characterizing patches of primary visual cortex with minimal bias
Here's a recent poster, presented at CAN 2015: Natural scene movie responses are more precise in synchronized than desynchronized cat V1
Here's the resulting manuscript, submitted to Nat Neurosci (November, 2015): Natural scene movie responses are more precise, reliable & sparse in synchronized than desynchronized cat V1