Lecturer: Astrid Prinz
Fields: Computational Neuroscience
Neuronal networks produce reliable output throughout an animal’s life despite constant turnover of circuit components and developmental and environmental changes. I will discuss how circuits achieve this functional homeostasis, and describe the potential role of parameter variability and degeneracy in homeostasis.
- Prinz AA, Bucher D, Marder E (2004). Similar network activity from disparate circuit parameters. Nature Neurosci 7:1345-1352.
- Gunay C, Prinz AA (2010). Model calcium sensors for network homeostasis: Sensor and readout parameter analysis from a database of model neuronal networks. J Neurosci 30: 1686-1698.
- Olypher AV, Prinz AA (2010). Geometry and Dynamics of Activity-Dependent Homeostatic Regulation in Neurons. J Comp Neurosci 28: 361-374.
Astrid Prinz received her PhD in Physics from Technische Universität Muenchen in 2000. After postdoctoral work with Eve Marder at Brandeis University, she joined the faculty in the Department of Biology at Emory University in Atlanta in 2005. She combines experimental and computational methods to investigate pattern generation, signal processing, variability, and homeostasis in small neuronal circuits.
Affiliation: Emory University