Research on predictive processing models has focused largely on two specific algorithmic
theories: Predictive Coding for perception and Active Inference for decision-making. While …

Neuronal networks with strong recurrent connectivity provide the brain with a powerful
means to perform complex computational tasks. However, high-gain excitatory networks are …

The complex multi-stage architecture of cortical visual pathways provides the neural basis
for efficient visual object recognition in humans. However, the stage-wise computations …

This article proposes that biologically plausible theories of behavior can be constructed by
following a method of “phylogenetic refinement,” whereby they are progressively elaborated …

A fundamental challenge for systems neuroscience is to quantitatively relate its three major
branches of research: brain-activity measurement, behavioral measurement, and …

The book you are about to read is about research that asks questions like" How do our
senses operate?"" What is the connection between nervous system activity and perception?" …

Within a fraction of a second of viewing a face, we have already determined its gender, age
and identity. A full understanding of this remarkable feat will require a characterization of the …

The neural bases of behavior are often discussed in terms of perceptual, cognitive, and
motor stages, defined within an information processing framework that was originally …

It takes a fraction of a second to recognize a person or an object even when seen under
strikingly different conditions. How such a robust, high-level representation is achieved by …

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 …