  As organism is a dissipative system. The process from multi desires to
exclusive motivation is of great importance among all sensory-action loops. In
this paper we argued that a proper Desire-Motivation model should be a
continuous dynamic mapping from the dynamic desire vector to the sparse
motivation vector. Meanwhile, it should at least have specific stability and
adjustability of motivation intensity. Besides, the neuroscience evidences
suggest that the Desire-Motivation model should have dynamic information
acquisition and should be a recurrent neural network. A five-equation model is
built based on the above arguments, namely the Recurrent Gating
Desire-Motivation (RGDM) model. Additionally, a heuristic speculation based on
the RGDM model about corresponding brain regions is carried out. It believes
that the tonic and phasic firing of ventral tegmental area dopamine neurons
should execute the respective and collective feedback functions of recurrent
processing. The analysis about the RGMD model shows the expectations about
individual personality from three dimensions, namely stability, intensity, and
motivation decision speed. These three dimensions can be combined and create
eight different personalities, which is correspondent to Jung's personality
structure theorem. Furthermore, the RGDM model can be used to predict three
different brand-new types of depressive disorder with different phenotypes.
Moreover, it can also explain several other psychiatry disorders from new
perspectives.
