There is some complementarity of models for the origin of the electroencephalogram (EEG)
and neural network models for information storage in brainlike systems. From the EEG …

We focus on one aspect of Wright & Liley's target article: the linearity of the EEG. According
to the authors, some nonlinear models of the cortex can be reduced (approximated) to the …

A mathematical model is given for describing activity dynamics, learning, and associative
memory in the olfactory bulb. Numerical bifurcation analysis and the calculation of Lyapunov …

Neural organization: Structure, function, and dynamics shows how theory and experiment
can supplement each other in an integrated, evolving account of the brain's structure …

For some years there has been a controversy about whether brain state variables such as
EEG or neuronal spike trains exhibit chaotic behaviour. Wright & Liley claim that the local …

Schizophrenia may be best understood in terms of abnormal interactions between different
brain regions. Tasks such as associative learning that engage different brain regions may be …

Cognition and behavior are the result of neural processes occurring at multiple levels of
organization. Synthetic computational approaches are capable of bridging the gaps …

Dynamic systems theory offers conceptual andmathematical tools for describing the
performance ofneural systems at very different levels oforganization. Three aspects of the …

The work in progress reported by Wright & Liley shows great promise, primarily because of
their experimental and simulation paradigms. However, their tentative conclusion that …

Dynamic information processing in natural and artificial olfactory systems - ScienceDirect
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