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An Astonishing Link Between AI And The Fascinating Nature Of Your Mind
This hypothesis is unique in accounting for the striking speed of human intuition; in offering simple new routines to control the mind; in revealing insights into the future of AI. Where does the mind store its treasure trove of knowledge? How does it retrieve solutions to topical problems from this almost infinite store? These proposed explanations have been gathering millions of page views from around the world. The 1989 beginning of this exciting mission was a revealing insight from a Prolog AI Expert System. The Expert System could diagnose one out of 8 diseases hinged on the user entering answers to a long string of questions. In contrast, a doctor could identify a disease out of 8000, without questions, with just a glance. This is an unconventional hypothesis. The idea stems from a single "Aha!" moment. That happened when the Expert System flashed its light on a single brilliant algorithm, which could be the secret behind the ability of the mind to recognize and act on a perceived pattern in milliseconds.
The Prolog Expert System could diagnose 8 diseases, which shared 13 symptoms. It used an algorithm, a step by step procedure, for the diagnosis. Out of curiosity, I began testing an alternate algorithm in a spreadsheet. Its first step was to SELECT all diseases WITH a particular symptom. Contrary to my plan, the algorithm would DELETE all diseases WITHOUT the symptom. That reverse was caused by a chance double twist in its "if/then" logic.
So, when I clicked "Yes" for one particular symptom to test the first step, the spreadsheet DELETED 7 out of the 8 diseases, leaving behind just one disease. Surprise! That disease was indicated by that symptom. In just one leap, it had proffered the correct diagnosis. As with the doctor, it was a split second verdict! The algorithm had ELIMINATED all diseases without the symptom. Was selective elimination from a known list the trick used by nature for its intuitions?
Could elimination provide a faster search strategy? Since elimination shortened the steps, a programmer coded for me a new, more ambitious Expert System. Instead of 8 diseases, it dealt with 225 eye diseases. Its algorithm eliminated both irrelevant diseases and their connected questions, for each answer. The Expert System was presented to a panel of doctors. "It identified Angular Conjunctivitis, without asking a single stupid question," said a doctor. The Expert System was satisfactorily diagnosing all the eye diseases in the textbook! The algorithm was an impressive AI tool! The year 1989 catalogued the premises, set out in these pages, explaining how the algorithm could be enabling the mind of a doctor to achieve split second diagnosis.
Could An Amazing Algorithm Have Stunning Control Over Your Mind?
This is what happens when an engineer researches the mind. Way back in 1989, the writer, an engineer, catalogued how the ELIMINATION approach of an AI Expert System could reveal a way by which the nervous system could store and retrieve astronomically large memories. That historic insight is central to the six irresistible premises presented in this website.
Behind the scenes, these premises conceal an eye-opening revelation. About the incredible speed of intuition. A physician is aware of thousands of diseases and their related symptoms. How does he note a symptom and focus on a single disease in less than half a second? How could he identify Disease X out of 8000 diseases with just a glance?
First, the total born and learned knowledge available to the doctor could not exist anywhere other than as the stored/retrieved data within the 100 billion neurons in his brain. The perceptions, sensations, feelings and physical activities of the doctor could only be enabled by the electrical impulses flowing through the axons of those neurons. The data enabling that process could be stored as digital combinations.
Second, combinatorial decisions of neurons cannot be made by any entity other than the axon hillock, which decides the axonal output of each neuron. The hillock receives hundreds of inputs from other neurons. Each hillock makes the pivotal neuronal decision about received inputs within 5 milliseconds. Axon hillocks could be storing digital combinations. It could be adding each new incoming digital combination to its memory store. The hillock could fire impulses, if it matched a stored combination. If not, it could inhibit further impulses. Using stored digital data to make decisions about incoming messages could make the axon hillocks intelligent.
Third, combinations are reported to enable a powerful coding mode for axon hillocks. Olfactory combinatorial data is known (Nobel Prize 2004) to store memories for millions of smells. Each one of 100 billion axon hillocks have around a 1000 links to other neurons. The hillocks can mathematically store more combinations than there are stars in the sky. Each new digital combination could be adding a new relationship link. In this infinite store, specific axon hillocks could be storing all the symptom = disease (S=D) links known to the doctor as digital combinations.
Fourth, instant communication is possible in the nervous system. Within five steps, information in one hillock can reach all other relevant neurons. Just 20 Ms for global awareness. Within the instant the doctor observes a symptom, feedback and feed forward links could inform every S=D link of the presence of the symptom. Only the S=D link of Disease X could be recalling the combination and recognizing the symptom.
Fifth, on not recognizing the symptom, all other S=D hillocks could be instantly inhibiting their impulses. The S=D links of Disease X could be continuing to fire. Those firing S=D link would be recalling past complaints, treatments and signs of Disease X, confirming the diagnosis. This could be enabling axon hillocks to identify Disease X out of 8000 in milliseconds. Eliminating improbable (unrecognized) prospects to arrive at a possible (recognized in the past) solution powers the powerful inductive logic of the mind!
Worldwide interest in this website acknowledges its rationale. Not metaphysical theories, but processing of digital memories in axon hillocks could be explaining innumerable mysteries of the mind. Over three decades, this website has been assembling more and more evidence of the manipulation of emotional and physical behaviors by narrowly focused digital pattern recognition. It has also received over 2 million page views from over 150 countries.
My view is that the mind is functioning by recognizing patterns from its own vast wisdom. But this view keeps conflicting with the view of science that the axon hillocks are "summing up" their inputs. That is like expecting an adding
machine to be feeling compassion. On the other hand, try picturing a situation, where your nerve cells are sensing patterns. By evaluating molecules in
the air, the receptors in your nose are sensing the fragrance of a flower. From that simple pattern recognition concept, understanding will be coming to you why you are standing in awe of a
sunset, or weeping in anguish at the loss of a loved one. The concept will be leading you to numerous insights on how your mind is working.
- The "Mind Computes" view of
science makes it impossible to explain common sense, or love.
Neither do the current scientific theories explain the subtlety of a
smile. But, if you imagine a mind that recognizes patterns, you will see logical explanations for a million such mysteries.
- Funding limitations compel science to take
small incremental steps rather than attempt an uncertain leap into a new
view of the mind. A focus on pattern recognition by the mind can offer an opportunity for many resounding successes for the scientific establishment.
- The maths approach fails to explain the mind. Yet many dedicated
portions of the nervous system are acknowledged to recognize unique
- Only a prodigious memory and not computation can
explain the subtlety of the mind. The existence of a massive memory has already been uncovered with the recently
discovered principle of combinatorial coding for pattern
- Intuition enables the mind to extract contextual
knowledge from its own galactic database. Intuition remains to
be the elemental discovery of science.
- In presenting this fundamental insight,
this website only mentions the names of scientists, who uncovered the basic foundations of its many arguments. Discover those concepts on Google, correlate the ideas to your own experience and then imagine how that global
view can benefit you!
- By avoiding medical/software
terminology, external references and jargon, this website seeks to
enable an interested reader to grasp the power of a grand concept.
Science keeps pointing to the complexity of
the mind. Typically, Karl Friston compared the assembled knowledge in
the nervous system to the accumulated complexity of waves in a pond. He was suggesting that those waves carried memories of turbulences created by
all the raindrops, or even pebbles, which could ever have been falling into the pond.
The concept was powerfully picturing an unimaginable complexity. But, it was completely failing to explain how you are instantly identifying a single memory; or comprehending the difference between
a smile and a grin.
Sadly, mainstream science is unlikely to be accepting the simple idea that the whole mind is sensing patterns in the near future. Because, the concept is covering too wide a territory and is demanding too many
explanations. It is as untimely as a round earth theory would have
been 2300 years ago. Those were the times of Aristotle, the founder
of modern science. Gravity was yet to be discovered. If earth was
round, why didn't people keep falling off? It was needing a huge leap of faith to be ignoring that issue. There are more reasons, why such a broad concept is continuing to be unattractive to science.
At the outset, science
sensibly keeps avoiding broad visions. Scientists, who are speed reading journal
abstracts by the hour, are meaning no ill. For years, they have been painfully trudging up varied alleys and peering through, mostly to be finding them blind.
Thousands of failed experiments keep burdening their minds. Faced with
constant and tedious toil, they know that beaten paths can be saving them valuable
time. In such a world, it is annoying to suggest leaps of faith.
Only small incremental visions are being accepted. Not huge insights, like
pattern sensing by the mind.
There are still more problems for this
concept. Science worships maths. According to Richard Feynman, calculus is the language of God. It enables scientists to imagine worlds with ten dimensions and particles that occupy two places at the same time. Large sections of the scientific
community are fondly hoping to discover a maths formula to explain the
mind. So, the idea that the mind is not computing, but recognizing patterns can hardly be popular. But, is the mind using recognition,
or maths? Consider the evidence:
With damage to a small
sliver of your cortex, you cannot keep your eyes closed and recognize
a pair of scissors by touch. Medical text books are placing responsibility
for recognition of objects by touch to that bit of your cortex.
There is another organ, which is recognizing the significance of a smell
and still another, dedicated to just recognizing hand movements. Can
you imagine a mathematical formula, which can recognize the anguish
in a colleague's face? Mirror neurons are doing exactly that. Science is acknowledging that huge sections of your mind are just recognizing things.
Recognition can also be explaining human memory. Actually,
nature's miracles depend on vast coded memories. If the DNA codes in
the human body were written into 500 page books, those tomes will be filling the Grand Canyon 50 times over! Those codes are building your eyes and
your finger nails, among other things. You are recognizing a pair of
scissors by touch, because you are remembering how it feels. Which means
your system is having a memory for that feel.
Memories are the key
to intelligence. In 2004, a Nobel Prize was awarded for the
discovery that the mind is recognizing smells using a combinatorial code.
In theory, such codes can be storing astronomically large memories. Imagine a design, where the whole mind is sensing patterns and using neural patterns for controlling actions. But such an imagined design keeps demanding a huge leap of
Imagine that there could be a simple routine that is enabling you to recognize patterns in an astronomically large database within milliseconds. Imagine that intuition is that routine. Every instant, it is
intuition, which is enabling the machine in processing cubic miles of
information and managing your life. When you begin to speak, it is generating a feeling, organizing the concept, choosing words, arranging the sentence, retaining grammar and manipulating your muscles to guide
the tone and tenor of each uttered word. All this is being done before you
can even begin to say “But, ...”
But, no one was imagining that intuition could be an algorithm, which is
yet to be discovered and evaluated by science. Professor
Carver Mead of CalTech once predicted that science could discover it
by 2050. If you are imagining this possibility, you need not wait that long. All you are needing is a leap of faith to accept the
possibility that intuition is a simple algorithm.
As against current dogma, try imagining that specific regions in the brain are focusing on specific functions. Scientists are reporting activities in many
regions, when any function is performed. Many are rejecting the concept of
functional independence, viewing the mind to be an integrated
computational network. But these pages are building the structure of the
mind on functional regions. The olfactory system is distinguishing odors.
The amygdala is triggering fear, or anger.
The insula is initiating social emotions. The cerebellum iscoordinating habitual actions. The
prefrontal regions are delivering unemotional judgments. These regions must
be independent, because damage to them is causing the related functions to
largely disappear. Intuition and combinatorial coding, as explained
in these pages is enabling complex teamwork among such regions. This
view of functional separation is bringing clarity to how the mind is perceiving, interpreting and responding to the environment. If this is
“over simplification,” then, so be it!
In presenting this fundamental insight, this website is only mentioning the names of scientists, who uncovered the basic foundations of its many arguments. You can be discovering those concepts on Google, correlating the ideas to your own experience and finding out how that global view can be benefiting you!
The results are presented
on the assumption that human minds are similar and what is applicable
for one will be generally applicable for another. You are bound
evaluate your own experience and decide if the ideas are valid. That
is the best way of recognizing the overall pattern of the concepts
It was Glen Kezwer, who advocated using your mind as a
research lab to study experience. "The cost to the government
exchequer and the people is nil, no research grants need be applied
for, no progress reports are necessary and there is no need to be
concerned about the renewal of funding. There is also no pressure to
publish papers, technical reports or books on the experiment."
The objective of this
website is to make the contents readable to a lay person with a a reasonable imagination and an abiding interest in improving the quality of his life. An
explanation aimed at pure science will contain medical and software
terminology associated with neurology, computers and the mind. That
will make it obscure and inscrutable to the layman. Such jargon is being avoided.
While trying to retain a level of simplicity, explanations of a few internal
linking mechanisms of the mind are being detailed. How the hippocampus is recording combinatorial memories. How the claustrum is enabling the focus of your attention. Everywhere, terminology is being minimized for avoiding subtle barriers to
understanding. These pages are aiming to enable an imaginative person to be genuinely benefiting from a new global view of complex neural
This page was last updated on 02-Aug-2020.