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Computational Hermissenda Photoarray Model
Book chapter

Computational Hermissenda Photoarray Model

Susan A. Werness, Dale Fay, Kim T. Blackwell, Thomas P. Vogl and Daniel L. Alkon
Computation in Neurons and Neural Systems, pp.79-84
Springer US
01/01/1994
DOI: 10.1007/978-1-4615-2714-5_13

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Abstract

Some of the simpler invertebrates demonstrate robust and efficient features of sensory information processing, integration, and motor control. Development and analysis of computer models of the essential neural mechanisms leading to these capabilities elucidate design principles for flexible man-made remote sensing, vision, and control systems. The marine snail, Hermissenda crassicornis, is ideal for study and modeling of biological computing mechanisms because the connectivity of its visual and vestibular neuronal network has been determined in considerable detail. To extract principles of sensory integration, a computer model of the photoarray in a single Hermissenda eye is developed and analyzed. This model demonstrates 1) information processing capabilities observed in Hermissenda’s visual sensors, and 2) the importance of heterogeneity in the efficient and robust operation of biological networks.
Biological Network Directional Sensitivity Inositol Triphosphate Mammalian Nervous System Marine Snail

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