R Jeffrey Dean
Professor
Biological, Geological and Environmental Sciences
Cleveland State University
United States of America
Biography
"Dr. Dean is a Professor of Biology. He received his B.A. and his Ph.D. in Neurobiology and Behavior from Cornell University, working with Dr. Thomas Eisner and Dr. Bruce Halpern on the behavior and sensory physiology of toads encountering bombardier beetles. Before coming to Cleveland, he spent nearly twenty years doing research and teaching in Europe, primarily in Germany at the University of Bielefeld where his research focused on how stick insects walk and how this model might be incorporated into artificial walking machines. The control of arm movements was a second interest. He has been a faculty member of Cleveland State University since 1998. Here the object of research is the use of the lateral line system in aquatic frogs to find prey."
Research Interest
"My research focuses on the neural control of behavior. At present, we are studying how the African Clawed Toad (Xenopus laevus), which lives in water as an adult, senses water movement and surface waves in order to detect and orient to prey. The adults retain their lateral line organ, a collection of hair cells on the skin like those in fish, that are stimulated by water movement. The central nervous system is able to interpret the pattern of inputs from all over the body in order to determine the direction to the wave source. Neurons in deep layers of the tectum, a part of the midbrain, respond only for specific stimulus directions; together these neurons form a topographic map of the surroundings. Understanding how the CNS does this is one goal. The tectum also processes visual information and has outputs to motor centers. Another question is therefore how the visual and lateral line inputs are integrated to control the turning response. This is being studied in behavioral experiments."
Publications
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Jeffrey Dean R, Kindermann T, Schmitz J, Schumm M, Cruse H (1999) Control of Walking in the Stick Insect: From Behavior and Physiology to Modeling. Autonomous Robots 7: 271–288