Smallest neural network of nature (2009)
Several molecules could exchange information among themselves during their random collisions. This event could be considered as an information exchange between molecules through wireless communication. Can we find any logic in the random motion of the molecules? We did find such logic. This is very interesting to see that molecules are spontaneously confined within a fixed space without any external interference and then they exchange information collectively. The appearence of a virtual boundary is also helpful because it electronically isolates a system.
Why a neural network arising out of a fuzzy system is important?1. It enables us to find out fundamental parameters of a theoretical neural network. Moreover, we can find out some critical parameters which is impossible to find using theoretical simulations.
2. Historically, since 1943, all neural network models are basically inspired by the brain function and the architecture, it is also possible to verify the mathematical models proposed to explain the remarkable brain features.
3. In the 1930s, information theory came into being. For the first time it was defined "What is information?" Information theory was based on single bit switches and there were no provisions for the collective information exchange.
Once neural network based on collective information exchange has been established we can redefine the information theory for a multilevel logic system.
How one can define information if molecules are computing?
This is a very interesting topic for discussion since information is related to entropy and the sencond law of thermodynamics.
What can molecular neural network do that other parallel technologies can not?


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