This paper provides a concise description of the free energy principle, starting from a
formulation of random dynamical systems in terms of a Langevin equation and ending with a …

Cortical circuitry must facilitate information transfer in accordance with a neural code. In this
article we examine two candidate neural codes: information is represented in the spike rate …

What happens in our brain when we make a decision? What triggers a neuron to send out a
signal? What is the neural code? This textbook for advanced undergraduate and beginning …

This long-awaited work by prominent Harvard psychologist Stephen Kosslyn integrates a
twenty-year research program on the nature of high-level vision and mental imagery. Image …

This paper extends to two dimensions the frame criterion developed by Daubechies for one-
dimensional wavelets, and it computes the frame bounds for the particular case of 2D Gabor …

Active inference is a normative principle underwriting perception, action, planning, decision-
making and learning in biological or artificial agents. From its inception, its associated …

Presented as a series of lectures, this important volume achieves four major goals: 1) It
integrates the results of the author's research as applied to pattern perception--reviewing …

The aim of this book is to describe the types of computation that can be performed by
biologically plausible neural networks, and to show how these may be implemented in …

The analysis of brain imaging data has recently focused on the examination of the
covariances of activity among neural regions during different behaviors. We present some of …

To a large extent, progress in neuroscience has been driven by the study of single-cell
responses averaged over several repetitions of stimuli or behaviours. However, the brain …