Evidence of Chaotic Attractors in Cortical Fast OscillationsTested by an Artificial Neural Network
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.
KeywordsEntorhinal Cortex Correlation Dimension Chaotic Attractor Recurrence Plot Hurst Parameter
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