The goal of this research is to mathematically describe how the brain processes and uses sensory information to generate appropriate behavioral responses. These mathematical models can then be used as a basis to understand higher-level behaviors or to design more intelligent robotic systems. The human brain contains around 10 billion neurons (the functional cells of the brain), making it a dauntingly large and complex structure to study. Because of this complexity, we study the honeybee, an organism with a much smaller brain (with around 1 million neurons) that still exhibits a variety of complex social, visual, and navigational behaviors. Of particular interest to us is the "waggle dance", in which a foraging honeybee communicates the location of a distant food source to other honeybees in the hive. Specifically, our research looks at how honeybees estimate the distance they have traveled based solely on a visual estimate of their flight speed. To accomplish this goal we combine information from multiple levels of analysis, from biophysics to neuroanatomy, to create a mathematical model of early visual processing. We then refine the model by studying the responses of tethered honeybees in a virtual flight arena. The model can then be programmed into a robotic system.
Honeybee Speed Estimation
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- Last Updated: Saturday, 27 October 2012 20:07
Last Updated: Saturday, 27 October 2012 20:07