Abstract
A model for image coding based on Gabor-like stimulus- dependent receptive fields has been recently introduced, where the parameters of the coding functions are obtained from the Fourier transform of the input. Here we extend such model, by showing that it can also be based on center-surround structures, such as found in the retina and the lateral geniculate nucleus. Consistent with the interpretation of these early visual stages as providing a decorrelated signal to the cortex, we propose center-surround stimulus-dependent receptive fields which yield whitened representations of natural inputs. Our model receptive fields are found to replicate properties of the mammalian center-surround structures.
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Torreão, J.R.A., Victer, S.M.C. (2010). A Model for Center-Surround Stimulus-Dependent Receptive Fields. In: Diamantaras, K., Duch, W., Iliadis, L.S. (eds) Artificial Neural Networks – ICANN 2010. ICANN 2010. Lecture Notes in Computer Science, vol 6352. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15819-3_40
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DOI: https://doi.org/10.1007/978-3-642-15819-3_40
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