Below are a number of papers we have found to be especially valuable in coming to understand the nature of SINBAD networks, and their potential role as the substrate of cortical computation. There are links to the BBS papers (click on their titles) as well as to some of the authors' home pages (click on their names). All of these are highly recommended reading.
On the computational procedure for discovering variables implied by complex input regularities:
Suzanna Becker and G. E. Hinton (1992) A self organizing neural network that discovers surfaces in random-dot stereograms, Nature 355: 161-163.

On the limitations of general learning devices:
Andy Clark and Chris Thornton (1997)
Trading places: Computation, representation, and the limits of uninformed learning, Behav. Brain Sci. 20: 57-90.

On the cortex as a general learning device:
Steven R. Quartz and Terrence J. Sejnowski (1997)
The neural basis of cognitive development: a constructivist manifesto, Behav. Brain Sci. 20: 537-596.

On the cortex, context as a guide to tuning to important variables, and more:
William A. Phillips and Wolf Singer (1997) In search of common foundations for cortical computation, Behav. Brain Sci. 20: 657-683.

On sources of correlation (Millikan calls them "substances") and concepts of them:
Ruth Millikan (1998) A common structure for concepts of individuals, stuffs, and basic kinds: More mama, more milk, and more mouse, Behav. Brain Sci. 22: 55-65.

On the capacities of dendrites:
Greg Stuart, Nelson Spruston, and Michael Häusser (1999) Dendrites, Oxford: Oxford University Press.