Abstract
Animals analyze objects moving in the visual world in order to follow the movements of predators and prey (Ewert, 1991), control the orientation of their bodies as they move through their environments (Lee, 1980; Roy and Wurtz, 1990), calculate the range of distant objects in the world (Srinivasan, 1992), help determine the three-dimensional shapes of objects (Wallach and O’Connell, 1953; Johansson, 1971), and decipher the relations of objects to their backgrounds (Braddick, 1993). Because of the biological importance of visual motion analysis (Nakayama, 1985), the mechanisms used to detect and analyze moving stimuli have been studied in a wide range of species including arthropods (Borstand Egelhaaf, 1989; Franceschini et al, 1989; Egelhaaf and Borst, 1987,1993a, b, 1994), rabbits (Oyster, 1968), turtles (Ulinski et al, 1991; Granda and Sisson, 1992), cats (Orban, 1984), and primates (Orban, 1994). One goal for such work is to understand how animals are able to implement the computations that underlie motion analysis using the “wetware” available in their nervous systems. In the case of vertebrates, this involves under-standing the role of neural circuitry embedded both in the retina and in components of the central nervous system. Consistent with the theme of the volume, this chapter focuses on understanding how the biophysical, synaptic, and connectional properties of neurons in visual cortex are used to effect the computations that allow animals to extract a rich picture of the external world from patterns of light moving past their eyes.
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Ulinski, P.S. (1999). Neural Mechanisms Underlying the Analysis of Moving Visual Stimuli. In: Ulinski, P.S., Jones, E.G., Peters, A. (eds) Models of Cortical Circuits. Cerebral Cortex, vol 13. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-4903-1_6
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