Biologically plausible computational modeling of visual perception has the potential to link
high-level visual experiences to their underlying neurons' spiking dynamic. In this work, we …

There is an apparent discrepancy between visual perception, which is colorful, complete,
and in high resolution, and the saccadic, and spatially heterogeneous retinal input data. In …

Although many computational models have been proposed to explain orientation maps in
primary visual cortex (V1), it is not yet known how similar clusters of color-selective neurons …

We propose a configurable simulation platform that reproduces the analog neural behavior
of different models of the Human Visual System at the early stages. Our software can …

Abstract Convolutional Neural Networks have been proposed as suitable frameworks to
model biological vision. Some of these artificial networks showed representational …

Recent neuropsychological research has begun to reveal that neurons encode information
in the timing of spikes. Spiking neural network simulations are a flexible and powerful …

There is still much to understand about the brain's colour processing mechanisms and the
transformation from cone-opponent representations to perceptual hues. Moreover, it is …

Biological neural networks for color vision (also known as color appearance models) consist
of a cascade of linear+ nonlinear layers that modify the linear measurements at the retinal …

With modern neurophysiological methods able to record neural activity throughout the visual
pathway in the context of arbitrarily complex visual stimulation, our understanding of visual …

A central challenge in sensory neuroscience is to understand neural computations and
circuit mechanisms that underlie the encoding of ethologically relevant, natural stimuli. In …