Non-linear mechanisms in the brain.
Non-linear dynamical models of brain activity can describe the spontaneous emergence of large-scale coherent structures both in a temporal and spatial domain. We discuss a number of discrete time dynamical neuron models that illustrate some of the mechanisms involved. Of special interest is the phenomenon of spatio-temporal stochastic resonance in which coherent structures emerge as a result of the interaction of the neuronal system with external noise at a given level punitive data. We then discuss the general role of stochastic noise in brain dynamics and how similar concepts can be studied in the context of networks of connected brains on the Internet.
Mayer-Kress
G
G
Ross Institute and Ross School, East Hampton, NY, USA. gxmk@psu.edu
D000818:Animals; D001185:Artificial Intelligence; D001307:Auditory Perception; D001921:Brain / Q000502:physiology*; D001931:Brain Mapping; D004569:Electroencephalography; D006801:Humans; D020407:Internet; D008959:Models, Neurological; D009474:Neurons / Q000502:physiology*; D009622:Noise; D017711:Nonlinear Dynamics; D011930:Reaction Time; D013997:Time Factors