Titlebook: Creating Brain-Like Intelligence; From Basic Principle Bernhard Sendhoff,Edgar K?rner,Kenji Doya Book 2009 Springer-Verlag Berlin Heidelber

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From Complex Networks to Intelligent Systems, specific structural patterns and motifs and that these structural attributes facilitate complex neural dynamics. Such complex dynamics enables brain circuits to effectively integrate information, a fundamental capacity that appears to be associated with a broad range of higher cognitive functions.

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Stochastic Dynamics in the Brain and Probabilistic Decision-Making,tic settling into attractor states. This can account for probabilistic decision-making, which we show can be advantageous. Similar stochastical dynamics contributes to multistable states such as pattern rivalry and binocular rivalry. Stochastical dynamics also contributes to the detectability of sig

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難管

Trying to Grasp a Sketch of a Brain for Grasping, simple movements in homogeneous domains, the gradual evolution of movement sophistication endowed animals with an increasing ability to control their environment, ultimately advancing from the physical into the mental object domain with the advent of language-based communication and thinking. Appea

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波動

Towards Learning by Interacting,ed on observing and analysing the environment before carrying out the ‘learned’ action. In such scenarios the learning situation is restricted to uni-directional communication..However, insights into the process of infant learning more and more reveal that . plays a major role in transferring releva

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Planning and Moving in Dynamic Environments,, control, and planning are all considered as an inference or (alternately) an information processing problem, i.e., a problem of computing a posterior distribution over unknown variables conditioned on the available information (targets, goals, constraints). Further, problems of adaptation and lear

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