Abstract
It is well understood that basic locomotion in living organisms is controlled by a central pattern generator (CPG). We previously studied a hardware CPG model based on interstitial cell models. The interstitial cell models can output low-frequency oscillations (approximately 2 to 5 Hz) with a 900-fF capacitor. However, in order to obtain these low frequencies, the signal must cascade through dozens of stages of neuron models, which dramatically increases the mounting area. In this paper, the mounting area was reduced by constructing an interstitial cell model using bursting neuron models area. By using the bursting neuron models, the mounting area was reduced by approximately 73% while obtaining the same frequency. Moreover, the proposed CPG model can generate transitions between quadruped locomotion patterns.
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Toizumi, T., Saeki, K. (2018). Central Pattern Generator Based on Interstitial Cell Models Made from Bursting Neuron Models. In: Cheng, L., Leung, A., Ozawa, S. (eds) Neural Information Processing. ICONIP 2018. Lecture Notes in Computer Science(), vol 11302. Springer, Cham. https://doi.org/10.1007/978-3-030-04179-3_28
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DOI: https://doi.org/10.1007/978-3-030-04179-3_28
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