My professor during my MSc program also recommended Chris Eliasmith's
papers as above mentioned.. His talk on TED:

https://www.youtube.com/watch?v=g2HHJfovb5E


On 31 March 2014 21:20, Chetan Surpur <[email protected]> wrote:

> The full comment [1] is a useful read:
>
> Let a thousand flowers bloom
>
> On academic researchers having reservations about Hawkins approach, let me
> say it's not all of us.
>
> I was doing my M.Sc. in Computer Intelligence by the time *On
> Intelligence* was launched, and I have since followed his work with keen
> interest. My M.Sc. professor's work is centred on Weightless Neural
> Networks, a model largely developed in the UK which share many ideas with
> Sparse Distributed Memory, so Hawkin's Cortical Learning Algorithm isn't
> that alien to me. In fact I'm just now reviewing the CLA white paper with a
> view to get some ideas for my Ph.D. research.
>
> Besides Hawkin's work, in the last years there have been other attempts at
> modelling the brain that deserve mention.
>
> Chris Eliasmith's work on the Neural Engineering Framework (NEF) and
> Semantic Pointer Architecture (SPA) is based on perceptron-like neurons and
> gives more emphasis to pre-cortical brain structures. It's also more
> academic-friendly, with a number of peer-reviewed papers published. He
> recently published a book compiling the current state of his programme, How
> to Build a 
> Brain<http://www.amazon.com/How-Build-Brain-Architecture-Architectures/dp/0199794545>,
> and maintains a web page for his Nengo <http://nengo.ca/> neural
> simulator.
>
> John Harris' Rewiring Neuroscience <http://www.rewiring-neuroscience.com/> is
> an intriguing, highly heretical work that starts with a seemingly
> out-of-the-blue assumption (what if neural output isn't a single bit, but
> can in fact convey a range of values) and from that draws together a number
> of overlooked results and fringe research into a surprisingly appealing
> model of brain function. I have tried to 
> implement<https://www.researchgate.net/publication/225066202_A_Biologically-Based_Image_Template-Matching_Framework>
>  some
> of his ideas with limited but encouraging results.
>
> I can't speak for other researchers, but personally I rather like all this
> work on AI and computer intelligence coming from private companies.
> Frankly, let to its own devices, academia does tend to drift around, and I
> think the private sector's need for results and solutions to practical
> problems is an important counterweight to this tendency. With the current
> interest in architectural models of intelligence, and the "coopetition"
> between companies and universities to achieve fulfilling implementations,
> maybe we can make Ray Kurzweil's 2030's deadline?
>
>
> I want to read John Harris's book, and will start it soon.
>
> Has anyone read the other book mentioned in the comment (How to Build a
> Brain)?
>
> [1]
> http://forums.theregister.co.uk/forum/1/2014/03/29/hawkins_ai_feature/#c_2148782
>
>
> On Mon, Mar 31, 2014 at 12:03 AM, Vinh <[email protected]> wrote:
>
>> In the comment section, a guy mentioned John Harris and his book:
>> http://www.rewiring-neuroscience.com/
>>
>> Is there anyone who has read his book and his research? What do you think
>> of his works?
>>
>>
>>
>>
>> On Sunday 30,March,2014 06:47:10 AM SGT, Chetan Surpur wrote:
>>
>>> This is a pretty good overview on the history and approach Numenta is
>>> taking towards machine intelligence. It's nice to see such balanced
>>> and forward-thinking coverage :)
>>>
>>>
>>> On Sat, Mar 29, 2014 at 2:09 PM, Viraj Sinha <[email protected]
>>> <mailto:[email protected]>> wrote:
>>>
>>>     The Register published an extensive article on Jeff, goals for
>>>     Numenta, and how Numenta relates to other machine learning
>>>     approaches such as Vicarious. Check it out:
>>>
>>>     http://www.theregister.co.uk/2014/03/29/hawkins_ai_feature/
>>>
>>>
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>>>
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>>
>>
>>
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