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Animal behavior typically involves interactions among networks of large numbers of interconnected neurons, but experimental techniques in most systems are limited to the direct measurement of single or small numbers of neurons. Mark Goldman’s laboratory uses computational modeling to bridge the gap between single-neuron measurements and hypothesized network function to study various systems ranging from cellular and network dynamics to sensory coding to memory and plasticity. He developed a revised undergraduate program in the biological sciences that offers both a new interdisciplinary quantitative biology major and early training in experimental design, quantitative data analysis, and computational modeling.