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Evidence of Chaotic Attractors in Cortical Fast OscillationsTested by an Artificial Neural Network

  • Rita Pizzi
  • Marco de Curtis
  • Clayton Dickson
Conference paper
Part of the Advances in Soft Computing book series (AINSC, volume 18)

Abstract

A novel ANN architecture, called ITSOM, has been used as a non-linear analysis tool in the study of the cortical fast oscillatory activity that has been correlated to perceptual binding and cellular plasticity.

Simultaneous multirecordings of fast oscillatory activity induced by carbachol in the entorhinal cortex of the guinea pig brain in vitro have been processed with ITSOM and compared with standard non-linear analysis tools: correlation dimension, Hurst parameter and recurrence quantification analysis.

Evidence of chaotic attractors in signals after pharmacological stimulus has been shown, indicating self-organization in fast oscillatory activity recorded at distant sites in the entorhinal cortex. The data suggest the existence of functional binding elements in this region, proposed to underlie higher brain functions such as memory and learning.

Keywords

Entorhinal Cortex Correlation Dimension Chaotic Attractor Recurrence Plot Hurst Parameter 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Rita Pizzi
    • 1
  • Marco de Curtis
    • 1
  • Clayton Dickson
    • 1
  1. 1.IRCCS Istituto Nazionale Neurologico C. BestaMilanoItaly

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