Klaus Schulten and Michael Zeller.
Topology representing maps and brain function.
In Nova Acta Leopoldina NF, volume 72, pp. 133-157.
Jahresversammlungsband, 1996.
SCHU96B
How does the brain code a complex stream of information while being limited to a finite number of neurons? What is the principle used to establish links between sensory input and motor output? Two central questions we will focus on, utilizing the framework of information science on one side and biology on the other. First, we evaluate the methods of computational geometry to describe the quantization. Comparing theoretical models of brain maps with experimental data from area v1 in the visual cortex reveals that the theory of Delaunay tesselations provides a valuable description for the methods used by nature. Furthermore, the brain establishes a dynamic link between sensory input and a corresponding motor action. therefore, we present two simple models and evaluate their performance in an engineering framework, namely a pneumatic robot arm which shares essential mechanical characteristics with the skeletal muscle system.
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