ABSTRACT
The systematic class of attractor-based architectural types contains those connectionist models that attempt to apply the mathematical concept of the attractor to the problem of the analysis and representation of (neuro-)cognitive concepts within the framework of the theory of nonlinear dynamic systems. The models are applied in the representation of percepts in the context of perception and in the representation of sentences in the context of language cognition. This attractor-based, nonlinear, neurodynamic is characterized by two factors. Firstly the fact that the olfactory bulb remains involved in the entire perceptual process until recognition and action. And secondly, these neurodynamics are characterized by the fact that the temporal synchronization mechanisms of the collective neuronal activity, which bind together the individual excitations caused by the same olfactory stimulus, make it possible for a meaningful perception to stand out against the background of the other neuronal activity.
