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

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Anal-Canal

Cognitive Adequacy in Brain-Like Intelligence, were very successful and have yielded promising results, others have failed to do so which was — at least partly — due to inadequate architectures and algorithms that were not suited to mimic the behavior of biological intelligence. Therefore, in recent years, a quest for ”brain-like” intelligence

Herpetologist

Basal Ganglia Models for Autonomous Behavior Learning,ere developed on the basis of reinforcement learning (RL) theories and neuroscience principals of behavioral learning. The BG system model focuses on problems with RL input selection and reward setting. This model assumes that parallel BG modules receive a variety of inputs. We also propose an autom

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,Do’s and Don’ts of Mine Closure,cs contributes to multistable states such as pattern rivalry and binocular rivalry. Stochastical dynamics also contributes to the detectability of signals in the brain that are close to threshold. Stochastical dynamics provides an interesting way to understand a number of important aspects of brain function.

Ornithologist

Stochastic Dynamics in the Brain and Probabilistic Decision-Making,cs contributes to multistable states such as pattern rivalry and binocular rivalry. Stochastical dynamics also contributes to the detectability of signals in the brain that are close to threshold. Stochastical dynamics provides an interesting way to understand a number of important aspects of brain function.

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