Superhuman thinking machines, e-cyborgs, h-cyborgs

Three years ago from Arizona  to Caltech and  back to Leicester in  UK   some pillars of the neuroscience community laughed at me regarding   “concept cells” - at that time a very revolutionary idea for which they strongly advertised http://neuroelectrodynamics.blogspot.com/p/concept-cells.html
Was it so revolutionary?
No, not at all. They repackaged the  old grandmother concept and they lied to everybody  pretending they didn't get NED -neuroelectrodynamics.
After three years no one's laughing now.
Dharmendra Modha has failed to deliver the "cat" with 1 billion neurons and  10 trillion synapses  and Gerstner’s and  Izhikevich spiking neurons do not provide more than previous generations (sigmoidal neurons). In addition,  Markham's repeated  attempts to create the human conscious brain  by reverse-engineering are no better than Modha’s projects http://www.theguardian.com/science/2014/jul/07/human-brain-project-researchers-threaten-boycott

I hope that neuroscientists will begin to have more honesty,  teach less lies, old myths  about the real  brain http://neuroelectrodynamics.blogspot.com/p/myths-about-brain.html  and  fund more realistic projects.....
There are a lot of  ways to succeed where so many  pillars of the neuroscience community  have failed.

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 on digital computers(Markham's Blue Brain)  to shed light on the nature of consciousness and neurological disorders. All these attempts to replicate the human brain on digital computers will fail. In addition they are costly projects that 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). 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 find resources and build a different path.  One can  directly use the computational power of neurons.
Even less Sci-Fi (less costly) and far more relevant would be to create a hybrid model (evolving brains http://www.nature.com/nature/journal/vaop/ncurrent/full/nature12517.html connected with digital computers) - e-cyborgs  where e stands for evolving brain.
They will naturally develop forms of communication with digital computers and access much more information than any human. Once e-cyborgs will be able to move in space, learn from interaction and experience they will surpass human intelligent abilities, they will be superior. With such progress in ten, fifteen years one may be able to live forever in a h-cyborg setup (h stands for human brain). Even “afterlife” becomes possible. In 2070 we will still be able to chat with Ray Kurzweil, Bill Gates, Sergey Brin or Larry Page. E-cyborgs, h-cyborgs and fellow humans should share  common origins and interest.

This may look like a science fiction scenario, however with interdisciplinary collaboration this project has better chances to succeed than any digital replication of the human brain (Blue Brain Project - EPFL, Brain Activity Map Project --National Institutes of Health) or create superhuman intelligence (general artificial intelligence) on digital computers.

Probably the first priority will be to find the right place where this project can be implemented.

References

1.http://t.co/ThUOSk5VrM
2. Aur D., 2011, From Neuroelectrodynamics to Thinking Machines, DOI: 10.1007/s12559-011-9106-3,  Cognitive Computation, 2011, http://www.springerlink.com/content/x1l7388475323758/

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