UniSci - Daily University Science News
Home Search

clear.gif (52 bytes)

Model Obtains Evidence Of Chaos In Brain's Neocortex

The neocortex is the most complex brain structure specific to humans and other mammals. Now, evidence of chaos in the neocortex has been obtained in a model by researchers at Swinburne University of Technology in Australia.

Chaos in the brain would manifest itself as unpredictable and seemingly random electrical activity in a population of nerve cells, or neurons.

Chaos may have an important neurological function: researchers have speculated that it could provide a flexible and rapid means for the brain to discriminate between different sounds, odors and other perceptual stimuli.

Electroencephalograms (EEGs) record electrical activity in the cerebral cortex, but they, and all other current experimental techniques, may never be able to detect clear and unequivocal signs of chaos, since the cortex also emits a large amount of obscuring "noise," or random electrical activity.

Using realistic representations of brain physiology, many researchers are trying to devise models that reproduce the output of EEGs and also offer new insights into the brain's inner workings. But previous models either do not allow for chaos to appear or have been unable to demonstrate that chaos can occur under the conditions imposed by the structure of the brain.

In the present work, the researchers model the behavior of two large populations of neurons: excitatory (which bring other neurons closer to firing) and inhibitory (which make it more difficult for other neurons to fire).

Specifically, they look at the "mean soma membrane potential," the electric potential between the outside and inside of the neuron's cell body (higher potential means more frequent firing).

Varying the rate of external electrical impulses to each neuron population, they found the mean electrical activity was irregular and noise-like (it looked like noise but really wasn't) for a wide range of external inputs.

Quantitatively, such behavior is associated with a positive Lyapunov exponent, a hallmark of chaos. (A Russian mathematician who died in 1918, Aleksandr Lyapunov devised important methods of approximation.)

The existence of chaos, the researchers say, would provide a means for the brain to change its response rapidly to even slightly different stimuli. (Dafilis et al., Chaos, September 2001; text available at this URL.)

(Editor's Note: This story is based on PHYSICS NEWS UPDATE, The American Institute of Physics Bulletin of Physics News Number 551 August 8, 2001 by Phillip F. Schewe, Ben Stein, and James Riordon.)

[Contact: David Liley]






clear.gif (52 bytes)

Add the UniSci Daily Java News Ticker to Your Site or Desktop.
Click for a demo and more information.



Please direct website technical problems or questions to webmaster@unisci.com.

Copyright 1995-2001 UniSci. All rights reserved.