  Neurons have the capability of transforming information from a digital signal
at the dendrites of the presynaptic termi- nal to an analogous wave at the
synaptic cleft and back to a digital pulse when they achieve the required
voltage for the generation of an action potential at the postsynaptic neuron.
The main question of this research is what processes are generating the
oscillatory wave signal at the synaptic cleft and what is the best model for
this phenomenon. Here, it is proposed a model of the synapse as an oscillatory
system capable of synchronization taking into account conservation of
information and consequently of frequency at the interior of the synaptic
cleft. Trains of action potentials certainly encode and transmit information
along the nervous system but most of the time neurons are not transmitting
action potentials, 99 percent of their time neurons are in the sub threshold
regime were only small signals without the energy to emanate an action
potential are carrying the majority of information. The proposed model for a
synapse, smooths the train of action potential and keeps its frequency.
Synapses are presented here as a system composed of an input wave that is
transformed through interferometry. The collective synaptic interference
pattern of waves will reflect the points of maximum amplitude for the density
wave synaptic function were the location of the "particle" in our case action
potential, has its highest probability.
