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Multiscale modeling of brain dynamics depends upon approximations at each scale

Published online by Cambridge University Press:  04 February 2010

J. J. Wright and
D. T. J. Liley
J. J. Wright
Affiliation:
Mental Health Research Institute, Parkville, Victoria 3052 and Swinburne Center for Applied Neuroscience, Hawthorne, Victoria 3122, Melbourne, Australia, jjw@cortex.mhri.edu.au
D. T. J. Liley
Affiliation:
Mental Health Research Institute, Parkville, Victoria 3052 and Swinburne Center for Applied Neuroscience, Hawthorne, Victoria 3122, Melbourne, Australia, jjw@cortex.mhri.edu.au
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Abstract

We outline fresh findings that show that our macroscopic electrocorticographic (ECoG) simulations can account for synchronous multiunit pulse oscillations at separate, simultaneously activated cortical sites and the associated gamma-band ECoG activity. We clarify our views on the approximations of dynamic class applicable to neural events at macroscopic and microscopic scales, and the analogies drawn to classes of ANN behaviour. We accept the need to introduce memory processes and detailed anatomical and physiological information into any future developments of our simulations. On the issue of intrinsic cortical stability and the role of extrinsic fibre systems in maintaining stability, we argue that this position is not in extreme contradiction to those of our commentators, and that the mechanisms implicit in our simulations' properties imply rich computational possibilities. We discuss some of the reasons for and against the existence of significant global resonances in the brain and explain why such behaviour appears absent in our simulations. Last, we discuss other phenomena, such as rhythmic driving of the cortex, which have not yet been introduced into our models, and indicate lines for future development of the simulations.

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Behavioral and Brain Sciences , Volume 19 , Issue 2 , June 1996, pp. 310 - 320
Copyright
Copyright © Cambridge University Press 1996

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