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Description
Our goal is to understand the development and function of the visual
cortex through computational modeling. The main idea is that the visual
cortex is a continuously adapting structure in a dynamic equilibrium with
the external environment and that lateral connections and synchronization
of spiking activity are crucial to its behavior. In our approach, the
Self-Organizing Map model was first extended to include self-organizing
lateral connections and receptive fields, and most recently on-off channels,
spiking neurons and delay adaptation. We build computational models to
gain insights into biological phenomena and to motivate future biological
experiments.
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