Research Overview


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.


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Mechanisms of Homeostatic Plasticity
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High-dimensional Parameter Space Analysis
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Synchronization of Neural Oscillators
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