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Titlebook: Bio-Inspired Information and Communications Technologies; 13th EAI Internation Tadashi Nakano Conference proceedings 2021 ICST Institute fo

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Conference proceedings 2021ons technologies (ICT).. The 20 full and 2 short papers were carefully reviewed and selected from 47 submissions. The papers are organized thematically in tracks as follows: Bio-inspired network systems and applications; Bio-inspired information and communication; mathematical modelling and simulations of biological systems..
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Schiffbautechnischen Gesellschaftn in the first layer. The experimental results show that the proposed double-layered cortical learning algorithm achieves higher prediction accuracy than the conventional single-layered cortical learning algorithms and the recurrent neural networks with the long short-term memory on several artificial time-series data.
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Double-Layered Cortical Learning Algorithm for Time-Series Predictionn in the first layer. The experimental results show that the proposed double-layered cortical learning algorithm achieves higher prediction accuracy than the conventional single-layered cortical learning algorithms and the recurrent neural networks with the long short-term memory on several artificial time-series data.
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Evolution of Vesicle Release Mechanisms in Neuro-Spike Communicationis presented, and the influence of data rate and several system parameters on bit error rate (BER) performance of the model is simulated. In addition, the BER performance of SVR model and MVR model under the same conditions is compared. The advantages and disadvantages of the two models are analyzed.
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Schiffbautechnischen Gesellschafttion networks (B5G). An optimized deployment mechanism based on NSGA-II is proposed. The simulation results show that, compared with NSGA-II, the deployment cost of this method is slightly higher, but it has achieved better results in terms of coverage and RSSI indicators.
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