In many everyday situations, our senses are bombarded by many different unisensory
signals at any given time. To gain the most veridical, and least variable, estimate of …

▪ Abstract It has long been assumed that sensory neurons are adapted, through both
evolutionary and developmental processes, to the statistical properties of the signals to …

Blind image quality assessment (BIQA) aims to evaluate the perceptual quality of a distorted
image without information regarding its reference image. Existing BIQA models usually …

In this paper, we propose a computational model of the recognition of real world scenes that
bypasses the segmentation and the processing of individual objects or regions. The …

THE receptive fields of simple cells in mammalian primary visual cortex can be
characterized as being spatially localized, oriented1–4 and bandpass (selective to structure …

Principal component analysis (PCA) is a dimensionality reduction method that is known for
being simple and easy to interpret. Principal components are often interpreted as low …

Hyperspectral images provide higher spectral resolution than typical RGB images by
including per-pixel irradiance measurements in a number of narrow bands of wavelength in …

It has previously been suggested that neurons with line and edge selectivities found in
primary visual cortex of cats and monkeys form a sparse, distributed representation of …

In order to best understand a visual system one should attempt to characterize the natural
images it processes. We gather images from the woods and find that these scenes possess …

Evolutionary Robotics is a method for automatically generating artificial brains and
morphologies of autonomous robots. This approach is useful both for investigating the …