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intelligence, because they provide reactions to the environment, and they bring
forth secondary recalls that suggest reactions.
Reactions are important to survival. If there is a memory block in the face of
danger, the consequences are catastrophic. A great life-saving feature is cue editing
to fight a tendency for mental blocks, especially when it is really important to
remember what has happened in past similar situations, for instance, when petting
an angry dog.
Even so, it often happens that a person forgets something, even though there are
many cues. A cue editor, as given in this topic, will work subliminally to remember
a forgotten thing. It sometimes pops into one's head hours later, indicating that a
cue editor has been at work subliminally.
Just as bad for survival are multiple recalls that confuse and effectively paralyze
a person. It is critically important to survival to see only important recalls
concerning something relevant, as opposed to experiencing pictures of red apples,
red race cars, or red faces when in fact there is a red fire in your bed. Decisive action
can be critical for self-preservation.
For survival, and fundamental to any system of associative memory, human
memory included, is multiple match resolution. First of all, it must prevent basic
memory breakdown because of multiple returns on the same neural paths. Sec-
ondly, a basic recall referee is essential, including a processor that assigns priority
to memory returns and then chooses the highest priority image to be gated into
conscious short-term memory. A basic recall referee given in this topic is based on
accurate digital principles and avoids error-prone analog processing.
Those familiar with associative memory structures will realize immediately that
short-term and long-term memory must work together intimately, as in this topic,
with the aid of well-oiled editors for memory search, to prevent mental blocks, and
recall referees, or editors, that choose important recalls based on quick calculations
of image priority. This topic provides not just ideas and concepts but also physical
circuits that, with proper care, would work as a neural system to achieve stream of
consciousness.
Conclusions
Can hundreds of billions of neurons and hundreds of trillions of synapses carry out
what a human brain accomplishes? This remains to be seen. Indeed, there are times
when even the author doubts that classical logic explains all that a brain does,
especially after hearing about the underwhelming performances of the so-called
intelligent robots and computers. It seems that there has got to be more to intelli-
gence than merely imitating it with a clever computer program.
This topic considers systems radically different from those being tried in robot-
ics and artificial intelligence, where an immediate payoff is usually demanded. First
off, this topic considers a plausible system of neural logic based on realistic neural
gates and multivibrators using recursive neurons. Simulated qubits and controlled
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