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Titlebook: Brain-Inspired Information Technology; Akitoshi Hanazawa,Tsutom Miki,Keiichi Horio Book 2010 Springer-Verlag Berlin Heidelberg 2010 Inform

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期刊全称Brain-Inspired Information Technology
影响因子2023Akitoshi Hanazawa,Tsutom Miki,Keiichi Horio
视频video
发行地址Recent results in brain inspired information technology
学科分类Studies in Computational Intelligence
图书封面Titlebook: Brain-Inspired Information Technology;  Akitoshi Hanazawa,Tsutom Miki,Keiichi Horio Book 2010 Springer-Verlag Berlin Heidelberg 2010 Inform
影响因子."Brain-inspired information technology" is one of key concepts for the development of information technology in the next generation. Explosive progress of computer technology has been continuing based on a simple principle called "if-then rule". This means that the programmer of software have to direct every action of the computer programs in response to various inputs. There inherently is a limitation of complexity because we human have a limited capacity for managing complex systems. Actually, many bugs, mistakes of programming, exist in computer software, and it is quite difficult to extinguish them. The parts of computer programs where computer viruses attack are also a kind of programming mistakes, called security hole. Of course, human body or nervous system is not perfect. No creator or director, however, exists for us. The function of our brain is equipped by learning, self-organization, natural selection, and etc, resulting in adaptive and flexible information system. Brain-inspired information technology is aiming to realize such nature-made information processing system by using present computer system or specific hardware. To do so, researchers in various research fiel
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书目名称Brain-Inspired Information Technology影响因子(影响力)




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Die Sammlung — Nutzbarmachung und Funktionn on audiovisual ESNN for the person authentication problem. Preliminary results show that the integrated system can improve the accuracy in many operation points as well as it enables a range of multi-criteria optimizations.
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Monetary Transmission in the Indian Economyls. Applications of the proposed method to some benchmark optimization problems well demonstrate its effectiveness. Our experimental results indicate that the former fitness function can generate a PSO model with higher fitness, and the latter can generate a PSO model with faster convergence.
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https://doi.org/10.1007/978-1-349-27931-9e-timing-dependent plasticity (STDP) rule. As a result, the MPP synaptic weight was enhanced and the LPP synaptic weight was rather depressed. This suggests that LPP signal conveying non-spatial information promotes enhancement of MPP synaptic weight where spatial information passes through.
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Brain-Like Evolving Spiking Neural Networks for Multimodal Information Processing,n on audiovisual ESNN for the person authentication problem. Preliminary results show that the integrated system can improve the accuracy in many operation points as well as it enables a range of multi-criteria optimizations.
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Effect of Fitness Functions on the Performance of Evolutionary Particle Swarm Optimization,ls. Applications of the proposed method to some benchmark optimization problems well demonstrate its effectiveness. Our experimental results indicate that the former fitness function can generate a PSO model with higher fitness, and the latter can generate a PSO model with faster convergence.
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