Brains, it has recently been argued, are essentially prediction machines. They are bundles
of cells that support perception and action by constantly attempting to match incoming …

We can claim that we know what the visual system does once we can predict neural
responses to arbitrary stimuli, including those seen in nature. In the early visual system …

Following the discovery of context-dependent synchronization of oscillatory neuronal
responses in the visual system, the role of neural synchrony in cortical networks has been …

Human visual speed perception is qualitatively consistent with a Bayesian observer that
optimally combines noisy measurements with a prior preference for lower speeds …

A comprehensive introduction to new approaches in artificial intelligence and robotics that
are inspired by self-organizing biological processes and structures. New approaches to …

How does the brain represent the reliability of its sensory evidence? Here, we test whether
sensory uncertainty is encoded in cortical population activity as the width of a probability …

The purpose of our nervous system is to allow us to successfully interact with our
environment. This normative idea is formalized by decision theory that defines which …

Pressures for survival make sensory circuits adapted to a species' natural habitat and its
behavioral challenges. Thus, to advance our understanding of the visual system, it is …

We present an analysis of the spatial and temporal statistics of “natural” optical flow fields
and a novel flow algorithm that exploits their spatial statistics. Training flow fields are …

The Bayesian brain hypothesis provides an attractive unifying framework for perception,
cognition, and action. We argue that the framework can also usefully integrate interoception …