Abstract
A real jewel of integrated Optronics and neuronics, the compound eyes of the housefly harbour a gigantic but orderly neural network, which is based on approximately one million neurons. Fed by the outputs of 48000 photoreceptor cells, this network performs sophisticated image processing and drives a set of wing actuator muscles that constantly adjust the amplitude of the two wings, their frequency, pitch and warping, thereby maintaining the attitude of this unstable flying machine, and ensuring its collision free path in the most unpredictable environments.
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© 1992 Springer Science+Business Media New York
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Franceschini, N. (1992). Sequence Discriminating Neural Network in the Eye of the Fly. In: Eeckman, F.H. (eds) Analysis and Modeling of Neural Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-4010-6_18
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DOI: https://doi.org/10.1007/978-1-4615-4010-6_18
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