In [[computer science]] and [[machine learning]], '''cellular neural networks''' ('''CNN)''') or '''cellular nonlinear networks''' ('''CNN)''') are a [[parallel computing]] paradigm similar to [[neural networks]], with the difference that communication is allowed between neighbouring units only. Typical applications include [[image processing]], analyzing 3D surfaces, solving [[partial differential equation]]s, reducing non-visual problems to [[Geometry|geometric]] maps, modelling biological [[visual system|vision]] and other [[Sensory-motor coupling|sensory-motor]] organs.<ref>{{Cite book|last=Slavova|first=A.|url=https://books.google.com/books?id=bt4PUx8CZXIC&q=Cellular+neural+network|title=Cellular Neural Networks: Dynamics and Modelling|date=2003-03-31|publisher=Springer Science & Business Media|isbn=978-1-4020-1192-4|language=en}}</ref>
CNN is not to be confused with [[Convolutional neural network]] (also colloquially called CNN).
