In vision science, cascades of Linear+ Nonlinear transforms are very successful in modeling a number of perceptual experiences. However, the conventional literature is usually too …
Subjective image quality databases are a major source of raw data on how the visual system works in naturalistic environments. These databases describe the sensitivity of many …
We reproduce suprathreshold perception phenomena, specifically visual illusions, by Wilson– Cowan (WC)-type models of neuronal dynamics. Our findings show that the ability to …
Retinal lateral inhibition is one of the conventional efficient coding mechanisms in the visual system that is produced by interneurons that pool signals over a neighborhood of …
We consider the evolution model proposed in Bertalmío (Front Comput Neurosci 8: 71, 2014), Bertalmío et al.(IEEE Trans Image Process 16 (4): 1058–1072, 2007) to describe …
A Song, O Faugeras, R Veltz - PLoS computational biology, 2019 - journals.plos.org
We address the question of color-space interactions in the brain, by proposing a neural field model of color perception with spatial context for the visual area V1 of the cortex. Our …
We consider a differential model describing neuro-physiologi-cal contrast perception phenomena induced by surrounding orientations. The mathematical formulation relies on a …
J Malo, JJ Esteve-Taboada, M Bertalmío - Journal of Nonlinear Science, 2024 - Springer
Abstract Divisive Normalization and the Wilson–Cowan equations are well-known influential models of nonlinear neural interaction (Carandini and Heeger in Nat Rev Neurosci 13 (1) …
High dynamic range imaging techniques involve capturing and storing real world radiance values that span many orders of magnitude. However, common display devices can usually …