4 Sleep and awaking
The automaton self-organizes from an unorganized neural
set due to the formation of a network by means of excitatory and
inhibitory links. This creates conditions of mutual aid for the solving
of the problem to decrease both q and total
energy consumption. The first ability, appearing in the automaton, is
the ability to sleep. The sleep is a self-organization and functioning
of a big neuronal mutual aid groups (MAG's), which form a cyclic queue
for the renewal. MAG is the subset of the neural network, which has not
any internal inhibitory link. The renewal is the HF-generation of the
MAG neurons due to the excitatory links between them, which finishes
owing to the rise of Ps because of generation.
Due to the inhibitory links, strong inhibitory relations are set
between MAG's, so that working MAG does not allow to begin work for
succeeding MAG, until it stops HF-generation. Because of the repeated
circulation of the queue, the deep renewal of all neurons takes place,
i.e., q decreases to such values, when
spikes become impossible, then the queue is destroyed and automaton
switches to the awaking state.
In the awaking state q rises
until the moment, at which, due to decrease of P0,
the density of spontaneous spikes becomes sufficient for the formation
of a new queue of MAG's. It is very difficult to form a queue, because
at the instant of falling asleep the energy consumption of neurons is
much greater than the feed. At the same time, the value of reserves
must be sufficient for falling asleep and for the first phase of sleep,
until energy consumption g(q) decreases.
Thus, the automaton's existence problem transforms into
the problem of accumulation of reserves, sufficient for the
organization of the next sleep. Awaking state has two phases: a phase
of excessive feed at low q values and a
phase of insufficient feed just before falling asleep. It is possible
to accumulate valuable reserves at limited feed, i.e., to decrease
total energy consumption even more, by prolongation of the excessive
feed phase. Such prolongation can be achieved by the slowing down of
neurons' growing old, that is by means of stimulation of random spikes.
For such stimulation an external excitation, i.e., the existence of
receptors, is necessary. Some results of simulation of such
self-organization in the automaton are described in [3]. It is important for the further
discussion, that there exists a certain optimal value of external noisy
excitation, permitting to decrease total energy consumption
significantly. Neuroenergetic concept of intelligence is the
representation of intelligent and emotional properties of the automaton
as epiphenomena, i.e., as some consequences of solving the problem of
the search for the noisy excitation sources.
