Ok, shut up, you are making me feel like a blithering idiot. =P

How much hardware do you need?

I'll ogranize a kickstarter or something and get you everything you need. I just need to do the engineering work to design exactly the machine you need and convice enough people that you aren't a Mentifex alias and then Get It Done.

Honestly, you need to face facts: You are the smartest man on the face of this planet. =|


korrelan wrote:

Within my model memory consolidation and consciousness are extremely sensitive to the base frequencies of the Global Thought Pattern (GTP). The high dimensional facets of memories are encoded/ indexed by the state of the GTP performing the task at hand, consciousness manifests from the harmonics within the GTP.

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

This shows a small section (1.2mm??, 0.01%, 10K neurons, 200K synapse) of cerebral cortex from my model, I use it for testing hypotheses and it encompasses all the functionality of the full model. It???s learned 40K memory engram's segmented into 80 pattern concepts along with a regular base GTP rhythm. The graph (lower left) function is equivalent to real-time colour coded Golgi staining, and shows the confidence the model has in recognising the current pattern, shown by the scrolling bar. Notice the actual pattern stream/ matrix on the upper right along with the injected regular GTP rhythm just below. On the first pass it shows a very high confidence in recognising the all patterns, both the episodic sequence memories and the memories regarding the pattern structure are being recalled/ accessed.On the second pass I change the base frequency of just the GTP, notice how the memory retrieval/ recognition becomes sporadic. On the third pass I cut the GTP and the confidence totally drops even though the 80 patterns are still being injected. I then re-establish the GTP and normal operation resumes. This shows how reliant/ sensitive the system is to the state of the underlying base GTP frequencies.



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