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• W3201027612 abstract "Models of neuronal networks should account for axon growth in addition to dynamical synapses, because this results in a self-organized topology formation introducing an additional dynamic aspect due to the varying axonal delay. In order to bridge the gap of a missing theoretic circuit realization of axon growth, we utilize the wave digital concept to derive an axon model based on a memristive Jaumann structure. As a proof of concept, we make use of this axon growth by designing a self-sustained pattern generator mimicking the gait patterns of a dog. Emulation results show that the resulting circuit acts according to the whole is more than the sum of its parts as it can combine the learned gait patterns to a new one. This can be seen as a simple form of intelligence." @default.
• W3201027612 created "2021-09-27" @default.
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• W3201027612 date "2021-08-09" @default.
• W3201027612 modified "2023-10-01" @default.
• W3201027612 title "A Self-Organizing Gait Pattern Generator Exploiting an Electrical Circuit for Axon Growth" @default.
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• W3201027612 doi "https://doi.org/10.1109/mwscas47672.2021.9531834" @default.
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