Lik Chun Chan

I am a PhD student in Neurobiology at Stony Brook University, where I explore the computational principles underlying neural information processing. My research sits at the intersection of neuroscience, mathematics, and computer science.

I am particularly fascinated by how populations of spiking neurons encode and transmit information through their collective dynamics. By applying tools from information theory and computational modeling, I seek to understand how the brain performs complex computations with remarkable efficiency and robustness.

My work involves developing theoretical frameworks and computational models to decode the language of neural circuits, with the ultimate goal of bridging the gap between abstract computational theories and biological neural networks.