Brain-inspired information technology

Brain-inspired information technology

Hanazawa, Akitoshi
Miki, Tsutom
Horio, Keiichi

119,55 €(IVA inc.)

'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 inherentlyis a limitation of complexity because we human have a limited capacity for managing complex systems. Actually, many bugs, mistakes of programming, exist incomputer software, and it is quite difficult to extinguish them. The parts ofcomputer 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 fields are getting together to inspire each other and challenge cooperatively for the same goal. Recent results in brain inspired information technology INDICE: From the Contents: Mission capable autonomous control systems in the oceans, in the air and in space.- Three Paths to Relevance.- Brain-like Evolving Spiking Neural Networks for Multimodal Information Processing.- Human-like local navigation system inspired by a hippocampal memory mechanism.- Emergence of Behaviors by Reinforcement Learning Based on the Desire for Existence.-Classification and novelty detection of omni-view images taken from a mobile robot.- Curiosity and boredom based on prediction error as novel internal rewards.- Skill Transfer of a Mobile Robot Obtained by Reinforcement Learning to aDifferent Mobile Robot.- Effect of Fitness Functions on the Performance of Evolutionary Particle Swarm Optimization.- Acquisition and extinction of avoidance response by social interaction in rats.- Positive and negative effects of environmental chemicals on brain function in rodents.- An adaptive controller system using mnSOM.

  • ISBN: 978-3-642-04024-5
  • Editorial: Springer
  • Encuadernacion: Cartoné
  • Páginas: 182
  • Fecha Publicación: 01/01/2010
  • Nº Volúmenes: 1
  • Idioma: Inglés