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- W4298078581 abstract "An easily implementable path solution algorithm for 2D spatial problems, based on excitable/programmable characteristics of a specific cellular nonlinear network (CNN) model is presented and numerically investigated. The network is a single layer bioinspired model which was also implemented in CMOS technology. It exhibits excitable characteristics with regionally bistable cells. The related response realizes propagations of trigger autowaves, where the excitable mode can be globally preset and reset. It is shown that, obstacle distributions in 2D space can also be directly mapped onto the coupled cell array in the network. Combining these two features, the network model can serve as the main block in a 2D path computing processor. The related algorithm and configurations are numerically experimented with circuit level parameters and performance estimations are also presented. The simplicity of the model also allows alternative technology and device level implementation, which may become critical in autonomous processor design of related micro or nanoscale robotic applications." @default.
- W4298078581 created "2022-10-01" @default.
- W4298078581 creator A5013037493 @default.
- W4298078581 date "2007-04-24" @default.
- W4298078581 modified "2023-09-29" @default.
- W4298078581 title "2D Path Solutions from a Single Layer Excitable CNN Model" @default.
- W4298078581 doi "https://doi.org/10.48550/arxiv.0704.3268" @default.
- W4298078581 hasPublicationYear "2007" @default.
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