There is increasing evidence that the brain relies on a set of canonical neural computations,
repeating them across brain regions and modalities to apply similar operations to different …

Sensory systems continuously mold themselves to the widely varying contexts in which they
must operate. Studies of these adaptations have played a long and central role in vision …

The development of artificial visual systems that mimic biological systems requires devices
that can autonomously adapt their response to varying stimuli. However, emulating …

Proper contrast change can improve the perceptual quality of most images, but it has largely
been overlooked in the current research of image quality assessment (IQA). To fill this void …

Tone-mapping operators (TMOs) that convert high dynamic range (HDR) to low dynamic
range (LDR) images provide practically useful tools for the visualization of HDR images on …

Neural responses in the visual cortex are variable, and there is now an abundance of data
characterizing how the magnitude and structure of this variability depends on the stimulus …

The use of movie-watching as an acquisition state for functional connectivity (FC) MRI has
recently enabled multiple groups to obtain rich data sets in younger children with both …

Attention has been found to have a wide variety of effects on the responses of neurons in
visual cortex. We describe a model of attention that exhibits each of these different forms of …

The development of artificial intelligence has posed a challenge to machine vision based on
conventional complementary metal‐oxide semiconductor (CMOS) circuits owing to its high …

Aims and Scope This book is both an introductory textbook and a research monograph on
modeling the statistical structure of natural images. In very simple terms,“natural images” are …