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Complex phenomena and cognitive processes

The methods developed to recognise and control chaos and patterns can be extended to biological phenomena as e.g. cardiac and brain signals. The adaptive methods can not only be extended from discrete to continuous dynamical systems , but they can also control a delayed system . Now, the delayed feedback method corresponds to embedding a physical system with a small number of degrees of freedom into a space with a larger number of dimensions.
Hence, this appears as a good analogy of the cognitive strategy used in any perceptual task, whereby we build holistic perceptions upon partial information (think e.g. of a deteriorated photography).
Recently a new type of chaotic behaviour, called HC (homoclinic chaos) which alternates in time chaotic with regular intervals, has been demonstrated to display a high propensity to organise in large synchronized networks, hence it appears as the most plausible dynamical model for a neuron and for the build up of “feature binding” through the synchronization of large neuron arrays in the brain.
The replacement of a conventional meter performing a local measurement with a time code which requires a given duration to access a reliable perception raises the question of the fuzziness of perceptions truncated to shorter times, and this introduces a quantum behaviour which seems to hint to the possibility of parallel fast computation in brain processes.

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