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=== Boolean functions ===
Like CA, computations can be performed through the generation and propagation of signals that either grow or change over time. [[Computation]]s can occur within a signal or can occur through the interaction between signals. One type of processing, which uses signals and is gaining momentum is [[Signal processing|wave processing]], which involves the generation, expanding, and eventual collision of waves. Wave processing can be used to measure distances and find optimal paths. Computations can also occur through particles, gliders, solutions, and filterons localized structures that maintain their shape and velocity.{{clarify|date=August 2023|what are these things? what is a filteron?}} Given how these structures interact/collide with each other and with static signals, they can be used to store information as states and implement different [[Boolean functions]]. Computations can also occur between complex, potentially growing or evolving localized behavior through worms, ladders, and pixel-snakes. In addition to storing states and performing [[Boolean function]]s, these structures can interact, create, and destroy static structures.<ref name=":1">{{Cite book|last1=Chen|first1=F.|last2=He|first2=G.|last3=Xu|first3=X.|last4=Chen|first4=G.|title=2006 10th International Workshop on Cellular Neural Networks and Their Applications |chapter=Implementation of Arbitrary Boolean Functions via CNN |date=August 2006|chapter-url=https://ieeexplore.ieee.org/document/4145881|pages=1–6|doi=10.1109/CNNA.2006.341641|isbn=1-4244-0639-0|s2cid=9648461}}</ref>
The applications of CNNs to Boolean functions is discussed in the paper by Fangyue Chen, Guolong He, Xiubin Xu, and [[Chen Guanrong|Guanrong Chen]], "Implementation of Arbitrary Boolean Functions via CNN".<ref name=":1" />
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