The Brain, A Decoded Enigma | Page 9

for any ZM of the brain.
In the complex interaction between a brain and the external reality,
there is a single ZM at a time, controlling that being. This ZM is called
a local-ZM or an active-ZM. A ZM can be changed to another in a
dynamical way, so that the being does many activities in time-sharing.
This activity is not simple. So, when a local-ZM is deactivated, it has to
store the conditions, to be able to resume when it takes control again.
There are problems associated with this activity. Some of the
information can be lost or the external reality may evolve in the mean
time so that the stored information will be of no use. In this way, any
model, which takes control of the being, has to initialize before being
able to regain full control. This activity of initialization is very complex
and in some situations it might contain errors. Thus, it is rather difficult
to do many activities in time- sharing.
There is also a basic problem associated with the term "knowledge". As
we know, the knowledge is associated with the predictions of a
structure of models.
So, the knowledge is associated with the structure of models and not
with the external reality, as we'd like it to be. We should never ever
forget this thing. Even more, knowledge is a non-sense if we do not
declare the structure of models.
Example: in any positive science, it is usual to say that something is
true based on a specified theory (model).

HOW M-ZM MODELS ARE MADE
For a given external reality, the brain makes a structure of models,
using information taken from the external reality or from other models.
We will see how this function works in a specified situation: how a
new M-ZM is made in interaction with a new external reality. This
function is described for a normal and mature brain. The term "normal
brain" will be treated later. Here, a "normal brain" is a brain, which is

able to work as it was already described in the section of hardware
facilities. A mature brain is a brain, which has enough YM and ZM
models made during a long time of interaction with the external reality.
An image is an information which is received as it is, in the same way
as it would be generated by a TV-camera for instance. This kind of
information, without any meaning in fact, has to be integrated by the
brain as an image- model.
As we already know, M-models have to find some entities in that
image. They start by making a 3D-image. This is possible in a rather
easy way because almost all beings have two eyes. So there are two
plane images and M-models will make a 3D-image. Now, the basic
problem is that from a 3D-image it is not an easy task to identify the
entities. M-models will use any supplementary information associated
with this 3D-model, as color, contrast, brightness, the movement of
some entities and so on. Anyways, M-models have to associate entities
to YM-models. This process could be affected by mistakes, but,
because M is a model, there will be a lot of crosschecks that will allow
to discover and correct some of the mistakes.
For instance, if something round is discovered, it could be an apple
(YM- apple) or a ball (YM-ball) or anything else.
Once a possible entity is associated with a YM, the M-model will
predict how this YM interacts with the other YMs of the model.
For instance, there is a YM-apple. It has a relation (it is very close to)
with a YM-table. So, from the predicted properties of the table, based
on simulation, it results that it can support an apple, and from the
predicted properties of the apple, it results that it can stay on that table.
So, this relation seems to be good and thus, maybe the YMs are OK.
Now another example: an apple is on a thin branch of a tree. From the
predicted properties of the branch, it results that it cannot support that
apple. So, the choosen YM-apple or YM-branch is not good. M-models
have to change something or to add something (maybe there is no
gravity there...) to be stable.
The exact procedures and methods can be different. Anyway, MDT is a
basic theory and it is not concerned with the technological
implementation of the functions of the brain. It is enough to say that
there are basic methods to solve the problems and also that the methods
are not 100% safe, as everybody knows from his/her direct interaction

with the external reality.
What is obtained by this interaction is a preliminary M-model
associated with the external reality. This M-model is in interaction with,
at least, one ZM- model,