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In the frequency-modulation theory of neural networks, subpopulations that are synchronized can interchange information using phase and frequency modulation. Therefore, the extent of phase clustering could bear on the recruitment of network elements to populations that can interact. These can be reprogrammed by changing attributes of the elements, for example through conditioning by chemical pools in which they reside. See, for example, F. Hoppensteadt and E. M. Izhikevich, Weakly Connected Neural Networks (Springer-Verlag, New York, 1997).
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general, for chaotic flows with a well defined rotational structure, we expect this separation in the time scales of phase and amplitude variables to be approximately true. For other cases, this approximation may or may not be valid
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In general, for chaotic flows with a well defined rotational structure, we expect this separation in the time scales of phase and amplitude variables to be approximately true. For other cases, this approximation may or may not be valid.
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