Deconvolution as a model of blur adaptation in the visual cortex

Conference: CNNA 2016 - 15th International Workshop on Cellular Nanoscale Networks and their Applications
08/23/2016 - 08/25/2016 at Dresden, Deutschland

Proceedings: CNNA 2016

Pages: 2Language: englishTyp: PDF

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Orzo, Laszlo; Hiba, Antal; Zarandy, Akos (Computational Optical Sensing and Processing Laboratory, Institiute for Computer Science and Control, Hungarian Academy of Sciences, Hungary)

The development of Cellular Neural Networks are a special example, how the application of new image processing architectures and techniques can help to understand the operation of real neural networks. Especially, here we investigated the neural blur adaptation. We propose a deconvolution based model to account this phenomena. We show that this model can have a more or less plausible neural implementation. Special properties and a potential application of the proposed model is outlined too.