Cognitive Computation

, Volume 4, Issue 1, pp 38–50 | Cite as

Computational Algorithms Derived from Multiple Scales of Neocortical Processing

Article

Abstract

A statistical mechanics of neocortical interactions of columnar activity and the vector potential of minicolumnar electromagnetic activity provide a context to explore neocortical information processes and influences on cognitive processing at multiple scales, i.e., mesoscopic (columnar scales), macroscopic (mesoscopic influences at regional scales), and microscopic (mesoscopic influences of ions affecting interactions between and among neurons and astrocytes). Even within this confined context, a case has been made that it should not be expected that the proposed Holy Grail of neuroscience, i.e., to ultimately explain all brain processing in terms of a nonlinear science at molecular scales, is at all realistic. As with many Crusades for some truths, other truths can be trampled.

Keywords

Short-term memory Astrocytes Neocortical dynamics Vector potential 

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© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.Lester Ingber ResearchAshlandUSA

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