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Uncertainty, spatial or temporal errors, variability, are classic themes inthe study of human and animal behaviors. Several theoretical approaches1 andconcepts have been adopted to tackle those issues, often considering the CNS asan observer, using Shannon information and entropy, signal to noise ratio, andrecently a Bayesian approach, and free energy minimization. In the coordinationdynamics framework, addressing pattern formation processes underlying cognitivefunctions, and goal directed human movement among others, the tools employedoriginate from the statistical physics of Brownian motion and stochasticprocesses. The relations between those theories/ concepts have been drawn forsome cases in their original fields, for example between free energyminimization and diffusion model in a force field (Jordan et al., 1998). Herean introductory presentation of the approach of noise in coordination dynamicsis proposed, aimed at the experimentalist.

To do things with words (only): An introduction to the role of noise in coordination dynamics without equations