We study pattern generation and homeostatic regulation in small neural networks with a combination of computational and experimental approaches. Our small neural network of choice is the pyloric pattern-generating circuit in the stomatogastric ganglion of the crab, one of the best-characterized neural networks in biology. Current research projects include the computational exploration of homeostatic regulatory mechanisms in neural circuits, the construction, visualization and analysis of high-dimensional model datasets, and the investigation of synchronization in networks of neural oscillators with hybrid network techniques.
The lab is currently looking for graduate students and postdocs with quantitative background. If you are interested, please contact Professor Prinz by email.