Or better not think?

This is a brand new public domain 9/11 Truth documentary about the controlled demolition of the World Trade Center complex.

How should we find out how they think ?

 Biologically Based Computational
Models of High-Level Cognition

Randall C. O’Reilly
Computer models based on the detailed biology of the brain can help us understand the myriad
complexities of human cognition and intelligence. Here, we review models of the higher level
aspects of human intelligence, which depend critically on the prefrontal cortex and associated
subcortical areas. The picture emerging from a convergence of detailed mechanistic models and
more abstract functional models represents a synthesis between analog and digital forms of
computation. Specifically, the need for robust active maintenance and rapid updating of
information in the prefrontal cortex appears to be satisfied by bistable activation states and
dynamic gating mechanisms. These mechanisms are fundamental to digital computers and may be
critical for the distinctive aspects of human intelligence.

6 OCTOBER 2006 VOL 314 SCIENCE 94 http://www.sciencemag.org

or does it work like Hecht-Nielsen proposes?

Confabulation Theory
A Synopsis
Robert Hecht-Nielsen
Computational Neurobiology, Institute for Neural Computation, Cal(IT)2, ECE Department
University of California, San Diego, La Jolla, California 92093-0407 USA, r@ucsd.edu
A theory of the cognitive function of human cerebral cortex is sketched.
1. Introduction
Confabulation theory (see [1,2] for details beyond this brief sketch) offers a comprehensive, concrete, explanation for cognition. The theory hypothesizes the specific underlying mathematical mechanism of cognition; as well as the neuronal implementation of that mechanism (specified at a ‘meta-level’ of neurophysiological detail: summary descriptions of the dynamical behavior of hypothesized subgroups of cortical neurons). Confabulation theory proposes that all aspects of cognition (seeing, hearing, command of movement and thought, planning, language, abstract thinking, etc., etc.) are implemented using four fundamental elements: 1) mental object representation, 2) knowledge links, 3) confabulation, and 4) action command origination. These, and their cortical implementations, are briefly sketched, in order, in the following four sections. The concrete numerical values provided in this synopsis of the theory are presented to help fix ideas (many of them probably vary significantly across cortex). If they are within an order of magnitude of being correct I will be happy.

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Communications and Media Senior Lecturer at SAE Byron Bay Australia

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