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Chaotic neuron dynamics, synchronization and feature binding

Author

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  • Arecchi, F.T

Abstract

Neuroscience studies how a large collection of coupled neurons combines external data with internal memories into coherent patterns of meaning. Such a process is called “feature binding”, insofar as the coherent patterns combine together features which are extracted separately by specialized cells, but which do not make sense as isolated items. A powerful conjecture, with experimental confirmation, is that feature binding implies the mutual synchronization of axonal spike trains in neurons which can be far away and yet contribute to a well defined perception by sharing the same time code.

Suggested Citation

  • Arecchi, F.T, 2004. "Chaotic neuron dynamics, synchronization and feature binding," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 338(1), pages 218-237.
    • Handle: RePEc:eee:phsmap:v:338:y:2004:i:1:p:218-237
    DOI: 10.1016/j.physa.2004.02.045
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    Cited by:

    1. Minati, Ludovico & Mancinelli, Mattia & Frasca, Mattia & Bettotti, Paolo & Pavesi, Lorenzo, 2021. "An analog electronic emulator of non-linear dynamics in optical microring resonators," Chaos, Solitons & Fractals, Elsevier, vol. 153(P2).
    2. Bozhokin, S.V. & Suslova, I.B., 2015. "Wavelet-based analysis of spectral rearrangements of EEG patterns and of non-stationary correlations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 421(C), pages 151-160.

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