A neurodynamic account of spontaneous behaviour.

ABSTRACT: The current article suggests that deterministic chaos self-organized in cortical dynamics could be responsible for the generation of spontaneous action sequences. Recently, various psychological observations have suggested that humans and primates can learn to extract statistical structures hidden in perceptual sequences experienced during active environmental interactions. Although it has been suggested that such statistical structures involve chunking or compositional primitives, their neuronal implementations in brains have not yet been clarified. Therefore, to reconstruct the phenomena, synthetic neuro-robotics experiments were conducted by using a neural network model, which is characterized by a generative model with intentional states and its multiple timescales dynamics. The experi

SUBMITTER: Namikawa J 

PROVIDER: S-EPMC3197631 | biostudies-literature | 2011 Oct

REPOSITORIES: biostudies-literature