I only read an Intro (about 30 pages) and don't see any jarring concepts 
(comparing to CLA)

Azat

--------------------------------------------
On Fri, 11/1/13, Hannu Kettinen <[email protected]> wrote:

 Subject: Re: [nupic-dev] Using NuPIC as an engine for WBE
 To: "NuPIC general mailing list." <[email protected]>
 Date: Friday, November 1, 2013, 6:10 AM
 
 My copy arrived today and it seems
 like a interesting piece of work.
 
 From Chris Eliasmith book “How to build a BRAIN a neural
 architecture for biological cognition” preface (XII):
 
 “The architecture I propose and develop in this book is
 called the “Semantic Pointer Architecture" (SPA), for
 reasons that will subsequently become clear. I believe a
 central departure of the SPA from past attempts to
 articulate theories of cognition is that cognitive systems
 perform logic-like computations in a language of thought or
 that they are best described as abstract nodes connected
 together in a network. Rather, it gives equal time to
 Biology.”
 
 
 -Hannu
 
 
 
  
 On 01 Nov 2013, at 01:40, Azat <[email protected]>
 wrote:
 
 > http://www.amazon.com/How-Build-Brain-Architecture-Architectures/dp/0199794545/ref=sr_1_1?s=books&ie=UTF8&qid=1383266328&sr=1-1
 > 
 > Azat
 > 
 > --------------------------------------------
 > On Thu, 10/31/13, Dean Horak <[email protected]>
 wrote:
 > 
 > Subject: [nupic-dev] Using NuPIC as an engine for WBE
 > To: [email protected]
 > Date: Thursday, October 31, 2013, 6:28 PM
 > 
 > I'm in the beginning stages of
 > planning a project to perform whole brain emulation and
 am
 > considering using NuPIC as the engine. Unlike the
 BBP/BBP,
 > my plan is to focus on biological plausibility at the
 > macroscale level of nuclei, rather than concern for
 > plausibility at the meso or neuronal level for the sake
 of
 > computation requirements. This is similar to the idea
 behind
 > Spaun, in that they are shooting for functional
 realism
 > rather than biological fidelity. 
 > 
 > I started building my models using the Nengo platform
 > (which is used by Spaun), but because it still shoots
 for
 > relative biological plausibility at the neuronal
 level,
 > it's computational demands are simply too great for my
 > purpose (and my limited hardware). 
 > 
 > Therefore, my intent is to take my models (beginning
 with
 > a simplified caudate nucleus, simple sensory and motor
 > cortices, rudimentary thalamus and possible a basic
 > hippocampus) and implement them on top of the NuPIC or
 > similar engine. I envision this as multiple distinct
 > networks, each interconnected, as in the
 thalami-cortical
 > loop. Once I'm able to get this simplified model
 > performing correctly, I plan on building out
 additional
 > structures and refining the existing ones, as well as
 their
 > connectivity in an iterative fashion guided by
 > experiment.
 > 
 > My question to the NuPIC group is, do you envision any
 > architectural limitations in NuPIC that might be of
 concern
 > in using it in this manner, or any thoughts on why
 NuPIC may
 > or may not be a good fit for this project?
 > 
 > I've been toying with NuPIC since it's first
 > release, but only as a replacement for simple ANN
 > applications, but I've just recently subscribed to the
 > maillist so if this is not the correct venue for a
 question
 > such as this, kindly let me know and I'll direct it
 > elsewhere.
 > 
 > Thanks,
 > 
 > Dean Horak
 > 
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 > 
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