Astrid PrinzAssociate Professor

Education

• Diploma in Physics, University of Ulm, Germany, 1996
• Ph.D., Munich Technical University, Germany, 2000

Research Area

• Neuroscience
• Computational Biology

Graduate Program Affiliation

• Neuroscience

Research Description

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 lobster, 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.

Research Lab Description

We combine experimental and computational methods to study pattern generation, synchronization, and homeostasis in small neuronal networks. Our work relies on the collaboration of researchers from diverse backgrounds, including biologists, neuroscientists, physicists, engineers, computer scientists, and mathematicians.

Publications