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Caution: Listening to the gong for more than 10 minutes, CAN CAUSE TEARS

The following is transcribed from blackboard lectures updating research into the Physics of Thought. ©Copyright 1978 - 2002 Advanced Research Consultants, Inc. A Report on a Preliminary Investigation of the Nature of Thought P1-8, P9-13, P14-17, P18-22, P23-30

At this point I have to say that these two new spaces (Thought Space and Subjective Time) may not be the same: It could be that the “j” (from fig. 9) dimensions in T ^'; where T ^'= f(x_j); for j = 1, ..., n is actually j = 1, ..., m is Thought Space while j = m+1, ..., n is Subjective Time. It could also overlap: j = 1, ..., m is Thought Space while j = m-a, ..., n (where “a” is any number 0 to m-1) is Subjective Time.

There may be more things in this new reality. Consider a scenario of going from 2 to 3 dimensions as analogous to going from 3 to 4 dimensions.

On this 2 dimensional page I draw a line of information like a dot-dash code:

Fig. 23

Now we find we have this miraculous new dimension in which to store information. This allows me to rotate the line of information into this 2 dimensional surface and it will stick out into this new (3^rd) dimension and all we have left on the 2 dimensional surface is a point. Then I draw another line of information in code and I rotate that into the page leaving another point. I continue this until I have a line of points which I rotate into the page leaving a strange array of lines in that new dimension, but leaving only a point on this page.

Going to our 3 to 4 dimensional analogy in fig 24, we proceed as follows:

dt T

Fig. 24

An individual lives and perceives real space time for a period of time dt; where dt is some function of neural network reaction time. At the end of that time the neural network rotates that information (the individual’s perception) into this new (T ^') space (see fig. 25). The perceived information is multidimensional (sight, sound, touch, smell, taste, knowledge of place, associated thoughts, etc.). What is rotated into our new space is what was perceived. The result is stored memory of what was perceived.

T ^'

dt T

Fig. 25

Our individual lives on and we see that all additional information is rotated into our new T ^' space as represented in fig. 26.

T ^'

dt T

Fig. 26

The individual continues to live and more data is rotated into new T ^'space as represented in fig. 27.

T ^'

dt T

Fig. 27

The apparent redundancy in this representation of stored events is for effect. i.e. to indicate previously marked (t₁, t₂, t₃) events (see fig. 28). It does not mean storage (in the future) beyond the present moment of the individual. If the individual lives a little longer we get (fig.28) a better feel for the complexities of continuous multidimensional interactive data storage.

T ^'

dt t₁t₂ t₃ T

Fig. 28

Here we get the sense of information being rolled up like a carpet into our new T ^'space. Now suppose at time t₄ we start a time interval dt after we have asked our individual to remember an event that took place years ago (time t₁). Our individual has a photographic memory and/or is under hypnosis. The individual’s mind does not take years going back along the real time (part of the T ) axis to retrieve the memory. Fig. 29 shows the mind going up the T ^'axis and retrieving the memory from any of the branches shown.

T ^'

t₁t₂ t₃ dt T

Fig. 29

The memory (sight, sound, touch, smell, taste, knowledge of place, associated thoughts, etc.) of the events at time t₁ are returned in a short time dt no matter how many years ago t₁ occurred. These and other real life human memory phenomenon, make it easy to designate this new T ^'space as Information Space (fig.30).

T ^'

t₁t₂ dt T

Fig. 30

Here again we must assign some values of the “j” (from fig. 9) dimensions in

T ^' where T ^'= f(x_j); for j = 1, ..., n. Now we have identified Information Space. It may be that Thought Space and Subjective Time are both subsets of Information Space. It may be that they are different dimensions of the same Space.

The angle q of fig. 13 was shown equal to some function of mind. That function of mind is shown in fig. 30 as a tensor (T) operating on the perceived information (x_i) to produce the memory (x_j) of what was perceived.

2... x_j = Tx_i; for i = 1, 2, 3, 4, ..., m (sight, sound, touch, smell, taste, knowledge of place, associated thoughts, etc.);

j = 1, ..., n;

Fig. 30 also shows the inverse transform (T prime) reproducing the remembered perceived information x_i from x_j. These kinds of transforms are also used in network theory. Here we are talking about a neural network.

3... x_i = T’ x_j

This representation of what I have labeled Information Space does provide an answer to one of the questions left to us by Von Newman. He asked how is it possible for a human being to store 10⁶⁰ bits of information (estimated stored in a 30 year old adult) in less than 10¹⁰ delay elements? The total number of neurons in the adult human body is on the order of 10¹⁰. The answer we see is that the information is not stored in the delay elements. It is stored in Information Space. What is apparently stored in these delay elements are the logical addresses of sequences of information in Information Space. The term “logical address” is the one from Computer Science (computer storage, chips and systems engineering / technology).

There’s more. The dotted line continuation (fig. 30) implies genetic memory back to (before?) the beginning of life on earth or in this universe. Before we explore this vast (infinite line) body of information this individual has in Information Space, let us take a moment to reconnect to the real world of physics.

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