[Bmi] Superhuman intelligent machines, e-cyborgs and h-cyborgs

[Juyang Weng]

Dorian,

 From the cited Nature paper, it is about development, not evolution.
Evolution is across different generations.
Development is within a generation.  Evolution cannot take place
without development in each life.   Do you like to change e-cyborgs to 
d-cyborgs?

Another comment is that if you had taken BMI 871, you would have had 
very different views on the power of the
"cyborgs" or what is reported in that nature paper.  They miss the basic 
set of developmental mechanisms (5+1 chunks) needed by
a brain.   Simply put, neurodynamics of a single neuron is far from 
enough for any tangible intelligence.  My estimate is that it
corresponds to about 1% of the basic set of developmental mechanisms 
needed by a brain: 5+1 chunks.  The "area" chunk uses
neurons, but the "area" chunk requires much more theory than neurons 
that can connect and adapt.  It is like a cell is very far
from the brain tissue.

I am not saying that 5+1 chunks are absolutely sufficient for a 
human-like brain, but they are necessary from my understanding of
their functions.  You might want to take a look first:

5 chunks:
J. Weng, "A 5-Chunk Developmental Brain-Mind Network Model for Multiple 
Events in Complex Backgrounds,'' /International Joint Conference on 
Neural Networks/, July 18-23, Barcelona, Spain, pp. 1-8, 2010. PDF file 
<http://www.cse.msu.edu/%7eweng/research/WCCI10rvsd.pdf>. (The first 
brain-mind model in the 5-chunk scale: development, architecture, area, 
space and time.) DOI: 10.1109/IJCNN.2010.5596740 
<http://ieeexplore.ieee.org/stamp/stamp.jsp>

+1 chunk (modulation):
J. Weng, , S. Paslaski, J. Daly, C. VanDam and J. Brown, "Modulation for 
Emergent Networks: Serotonin and Dopamine,'' /Neural Networks,/ vol. 41, 
pp. 225-239, 2013. PDF file 
<http://www.cse.msu.edu/%7Eweng/research/DA+5HT-Weng-NN-2013.pdf>. [ 
This is a journal version of our models of two modulatory systems: 
Serotonin and Dopamine based on the DN brain model.]
Y. Wang, X. Wu and J. Weng, ``Brain-Like Learning Directly from Dynamic 
Cluttered Natural Video,'' in Proc. International Conference on 
Brain-Mind, July 14-15, East Lansing, Michigan, USA, pp. 51-58, 2012. 
PDF file <http://www.cse.msu.edu/%7Eweng/research/ICBM12-Wang.pdf>. 
[Fully closed skull (no Y supervision), everything is moving. This work 
modeled other two neuromodulatory systems: Acetylcholine (Ach) system 
and norepinephrine (NE) system. The synapse maintenance leads to nearly 
100% recognition rate in disjoint tests. Visualization of Ach maps 
(standard deviation of synapse match) and synaptogenic factors (NE).]

Thanks.

-John

On 10/1/13 8:38 AM, Dorian Aur wrote:
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> We would like to create a mind so smart that can find solutions to 
> extend our life. The path isn't mapping the brain (Human Connectome 
> Project, NIH), replicate the brain (Markham's Blue Brain) to shed 
> light on the nature of consciousness and neurological disorders . They 
> are costly projects  which will provide little new insight.
>
> We already know that the real brain has a powerful way to perform 
> computations using processes happening at the microscopic scale 
> (neuroelectrodynamics). All these attempts to replicate the human 
> brain on digital computers will fail. Cyborg scientists and not only 
> them  need to be honest regarding their achievements (e.g. replicating 
> behavior, emotion, even consciousness on brain chips) and understand 
> that the Turing model has its limits -ultimately that's not their fault.
>
> /We need to build a different path, less costly, far more relevant for us/
> http://neuroelectrodynamics.blogspot.com/p/blog-page.html
> http://t.co/ThUOSk5VrM
> http://t.co/qDksFDZ6Dt
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> Dorian Aur
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-- 
--
Juyang (John) Weng, Professor
Department of Computer Science and Engineering
MSU Cognitive Science Program and MSU Neuroscience Program
428 S Shaw Ln Rm 3115
Michigan State University
East Lansing, MI 48824 USA
Tel: 517-353-4388
Fax: 517-432-1061
Email: weng at cse.msu.edu
URL: http://www.cse.msu.edu/~weng/
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