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We contrapose computational models using representations of numbers in parietal cortical activity patterns (abstract or not) with dynamic models, whereby prefrontal cortex (PFC) orchestrates neural operators. The neural operators under PFC control are activity patterns that mobilize synaptic matrices formed by learning into textured oscillations we observe through the electroencephalogram from the scalp (EEG) and the electrocorticogram from the cortical surface (ECoG). We postulate that specialized operators produce symbolic representations existing only outside of brains. [ABSTRACT FROM AUTHOR]

Presents comments on an article by Ichiro Tsuda regarding interpretation of dynamic neural activity in terms of chaotic dynamical systems. Opinion on the models used for high dimension chaos in brain activity; Details on studies of fragmented attractor landscapes in the K-models of sensory information processing; Role of chaotic resonance and stochastic resonance.