Hi, > The paper is very interesting, but their model may be too complicated > to analyse.
On the contrary, I think it's oversimplistic ;-) > Your Hebbian logic network seems to be an associative one (not > pyramidal or hierarchical). The dynamics of such networks are > probably more complicated than feedforward ones. And you may > have problem dealing with and organizing large number of nodes. Hebbian logic doesn't make any committments about network structure. It can be applied in a hierarchical network or a more loosely structured ones. Purely hierarchical networks have severely limited representational power, but, are useful for some purposes. Vision processing seems to be the most closely hierarchical of all aspects of the human mind... > My library doesn't have Jeff's book yet. I remember Edelman's > idea is also associative in nature (neurons are not organized > in a hierarchical way). It seems that his approach is more akin > to evolving "primodial" networks rather than cortex-like areas. nah, Edelman builds on Mountcastle's work, and Mountcastle was all about the hierarchical structure of cortex -- he was one of Hawkins' inspirations... -- Ben ------- To unsubscribe, change your address, or temporarily deactivate your subscription, please go to http://v2.listbox.com/member/[EMAIL PROTECTED]
