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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