The Stunning Epic Of Behavior Hides Frame By
Can Events Be Recognized?
behavior pattern recognition, Israeli security systems evaluate a
series of events to reach a conclusion. Their airport screening
supervisors have a score sheet with a list of behaviors on it. Are
they merely loitering in the area? Are they wearing a warm coat on a
hot day? Are they sweating or nervous when they come to the airport
security checkpoint? Do they make hand signals to colleagues? When a
list of specified behaviors hit a certain number, the system
recognizes a potential threat. Similar “behavior pattern
recognition” is applied in the financial world. Bank computers
evaluate a progression of transactions to trigger an alarm concerning
a suspicious, or fraudulent event. A sequence of activities become a
recognized pattern, with a single name - fraud. The human mind
recognizes patterns on a massive scale. Science has discovered the
logic behind some pattern recognition functions of the mind.
2004, a Nobel Prize acknowledged the discovery that the mind uses a
nervous system uses dynamic time dimensioned recognition.The
human mind deals comfortably with sequences of millions of neural
matrices in events.
enables recognition of the event by identifying any unique quality of
any of these matrices.
combinations of words describe the world and its environment.
handles rising hierarchies of meaning.
coding enables a virtually infinite memory storage capacity.
simulation of the mind will require the simultaneous recognition of
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.
Behavior Pattern Recognition
What Is Combinatorial Coding?
2004, a Nobel Prize acknowledged the discovery that the mind uses a
combinatorial coding process in the neural matrix to recognize
patterns. The researchers used calcium imaging to identify individual
mouse receptor neurons, which fired on recognition of specific odors.
When the neurons were exposed to a range smells, they found that a
single receptor could identify several odors. At the same time, each
odor was identified by several receptors.
Different combinations of
receptors fired within the olfactory matrix. Recognition of those
combinations enabled the mind to individually identify different
odorant molecules. A similar matrix of chemoreceptors in the tongue
identify molecules which carry information on taste. Other matrices
of receptors are massed together to form sensory subsystems such as
eyes and ears. Imagine that the vast memories of
neurons for the combinatorial codes of such neural matrices enable
the mind to remember and recognize the complex patterns of the
is an algorithm, which enables
complex and intelligent interactions between functional networks in
the nervous system. Intuition
eliminates unrecognized combinations through inhibition.
What Is Dynamic Recognition?
nervous system manages dynamic recognition. The recognition of an
odor identifies a single entity among millions. But, animals also use
this ability for time dimensioned recognition. Dogs can quickly sniff
a sequence of footprints of a person and determine accurately which
way the person is walking. The animal's nose can detect the relative
odor strength difference between footprints only a few feet apart, to
determine the direction of a trail. The somesthetic association
region of the brain enables you to recognize a pair of scissors, with
your eyes closed. If this region is damaged, you will be able to feel
the scissors, but you will not be able identify it. This recognition
process is also dynamic. An instant touch cannot identify a pair of
scissors. You have to run your fingers over it. A sequence of touches
recognizes a single object.
What are Sequential Matrices?
human mind deals comfortably with sequences of millions of such
matrices. People are reported to be able to remember and recognize
any one of 10,000 images displayed to him at one second intervals.
Each image is a matrix of millions of pixels. The mind has the
ability to remember and recognize images in huge sequences of massive
matrices. Imagine that combinatorial codes can enable matrices to record, interact and
recall the patterns of other matrices. Imagine that this ability to identify the
unique qualities of matrices over time enables behavior pattern
recognition by the mind. That process can identify events the way a
movie subtitle identifies a sequence of film images. If a recording
iterates the subtitle across the length of an activity, then any
individual frame of the movie will identify the action through the
subtitle. In such matrices, an iterating pattern can recognize a
How Do You Recognize “Sit?”
mind learns by paying attention, which sets the context. The system
pays attention to an activity contextually learned as “Sit.” The
system registers the “Sit” matrix against every frame of a
sensory movie of a person sitting down. Subsequent recall of any
frame of the movie would link to the “Sit” matrix. Like a strip
of movie film, where the title is repeated, while the images change.
Later, any frame of the movie can recall the related title. It
symbolizes the act and enables recognition. Intuition is
a process, which enables recognition of the title by identifying any
unique quality of any of these matrices. The human mind records and
recognizes events against millions of sensory contexts. Specific
association regions of the brain are known to recognize such events.
Understanding events is the essence of thinking.
Pattern Recognition -
How Do You Recognize Verbs And Sentences?
pattern recognition enables the mind to understands verbs. A running
image is recognized by the event association region as "run".
Running, sitting down, or walking are simple events, recognizable
from a single symbol. Beginning from a set of primitive words,
language expresses the vast knowledge of humanity in myriad
combinations of words and sentences. Language is not
onecontinuousexpressionoftheidea. The words need to be separated for
understanding. There are sentences, paragraphs, chapters and books.
The mind recognizes these symbols in time dimensioned packets. Each
sentence has an acceptable length and every sentence closes with a
period. Those symbols represent ever longer sequences of pattern
Pattern Recognition -
What do Word Sequences Imply?
sentence is a behavior pattern. Each unique combination of distinct
words have distinct contextual meanings. It contains data regarding
objects, events and their static and dynamic relationships. It is
recognized in sequential segments. Each word is separately recognized
and, subsequently, the whole meaning of the sentence. Even the
sequence is important. If it is changed, the meaning changes. “Jack
killed Jacob.” is not the same as “Jacob killed Jack.” The
subtleties of grammar change meaning too. Recognition of these
combinatorial groups in the neural matrices occurs in finite time
dimensioned sequential packets. The average sentence structure and
length suggests a ten to fifteen seconds period for the absorption of
an event by the mind.
Pattern Recognition -
What is Simultaneous Recognition?
mind also simultaneously recognizes multiple events. When you drive
through traffic, you are separately aware of the movements of many
objects in your field of vision. While attention focused on a single
event, others are also recognized. Each event has a distinct context,
history and future possibilities. Cars move in various lanes. People
cross the road. Signals flash. You recognize where a pedestrian came
from and where he is likely to go. Behavior pattern recognition
implies a complex past, an active present and a pregnant future. A
picture can represent many objects. The neural matrices of the mind
can represent multiple events, just as a TV screen displays many
Pattern Recognition -
What Are Understanding Hierarchies?
recognition permits infinitely differentiated steps. Combinations of
events could also become complex event symbols, which represented
sophisticated concepts such as war, or democracy. Current inputs are
combined with memories from the past. They represent rising
hierarchies of understanding. Such hierarchies contain millions of
images. Event recognition can explain virtually any type of human
intelligence from planning a strategy for war to comprehending the
theory of relativity. Each is a hierarchy of patterns linked in
unique ways. The mind can consciously “dig down” ever deeper into
any sentence, recalling event memories, to understand the context of
an expressed idea. Once this capability is assumed, thought processes
appear less mysterious. Most cognitive processes revolve around the
recognition of events, their recall from memory and the knowledge of
Pattern Recognition -
What Are The Memory Requirements?
programming code is galactic in size and magnificent in its detailing
complexity. The size and detail makes such pattern recognition
possible for the human mind. Nature operates on a grand scale. The
reported volume of the DNA code in your body is an indication of the
sheer power of nature. At the moment of conception, the genetic DNA
information in a single fertilized human egg occupies a thousand 500
page books. In a grown human body, the total of those codes will fill
the Grand Canyon fifty times over with 500 page manuals! Similar
memories are stored by the nervous system.
system can compare current recognition with the analysis of an image
you saw twenty years ago. In addition, special purpose entities
within the brain evaluate sensory inputs to recognize myriad patterns
in the environment. There are systems, which define the edges, lines
and movements of objects. Others recognize faces, hands and eyes.
Mirror neurons recognize the emotions felt by the people, who
interact with you. It is the ability to simultaneously recognize
immense volumes of data, which grants the mind its massive competence
in behavior pattern recognition.
Pattern Recognition -
Can Computers Recognize Behaviors?
is easily conceivable that computers could simulate the olfactory
matrix, which is reported to contain 10,000 receptor cells, to
identify odors. Any computer, which aims to simulate the human mind
will need to build similar matrices to recognize the millions of
objects all around us. Matrices will be required to identify the
relationships of objects, such as bigger, better, or above and below.
Then follows behavior pattern recognition. Those iterative matrices
will recognize “Jack put the glass on the table.” This could
proceed to “Jack came home and drank water.” Further advances
would place an emotional interpretation of events. “Jack slammed
the glass on the table in disgust.”
matrices can remember a virtual infinity of combinations. So, cubic
miles of memories are required to record, recognize and recall
events. At the highest level, a single matrix will perceive,
recognize, judge and act on the global information available to the
system. The prefrontal regions of the brain could be such a matrix.
Memory storage on the required scale is a huge problem. But, if
Moore's Law solves this problem, computers, could achieve true
behavior pattern recognition. They could possess far larger matrices
and be genuinely more intelligent than humans.
This page was last updated on 31-Dec-2013.