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→Basic Mechanism
For every [[node]] in a path, there are several [[implications]]. Every implication is attached at the end of it to a reward in the reward system.
===Value===The [[value]] of the reward is signaled by the plesentness or pain of the reward, the . The magnitude of the reward, will be determined by the volume of the chance of nuronal signaling that is connected to the reward and it's immdiecythe intensety of nuronal firing. The more pleasent the expectd reward amount of siganling, is, due to the more we learning process [[LTP]] and [[STP]]. It will be attracted to itcomposed of the chance for the expected results, and the immdiacy. The the higher the chances, and the more pain we assume immidate the reward will bringresults is axpected to be, the less we stronger the signal will like to chose this rewardbe. Pain and plesure are not equal. When For most of the people, pain in in stake, we will be rpulsed by it cause more repalsion then an equivelnt amount of plesurewill cause attraction.This is due to the hazardous nature of pain. The stongger the reward will This may be the more we will be attracted to it, if pleasent, or we will distance ourselves from itneuronal mechanism behind [https://en.wikipedia. The faster we will think we will get the reward, the more we will be chose to take it's courseorg/wiki/Loss_aversion loss aversion].
[[File:Attraction.png|500px|center|The reward-attraction function model]]
The reward attraction function seems to be the basic mechanisms of the [https://en.wikipedia.org/wiki/Prospect_theory prospect theory].
[[File:Neural network two paths implications.jpg|500px|thumb|center]]