This Perspective considers the influential notion of a canonical (cortical) microcircuit in light
of recent theories about neuronal processing. Specifically, we conciliate quantitative studies …

This paper considers neuronal architectures from a computational perspective and asks
what aspects of neuroanatomy and neurophysiology can be disclosed by the nature of …

Predictive coding theories of sensory brain function interpret the hierarchical construction of
the cerebral cortex as a Bayesian, generative model capable of predicting the sensory data …

Predictive coding theory (Srinivasan et al., 1982; Mumford, 1992; Rao and Ballard, 1999)
claims that the function of the hierarchical organization in the cortex is to reconcile …

A key challenge for neural modeling is to explain how a continuous stream of multi-modal
input from a rapidly changing environment can be processed by neural microcircuits …

Progress in understanding cognition requires a quantitative, theoretical framework,
grounded in the other natural sciences and able to bridge between implementational …

Two theoretical ideas have emerged recently with the ambition to provide a unifying
functional explanation of neural population coding and dynamics: predictive coding and …

We present a review of predictive coding, from theoretical neuroscience, and variational
autoencoders, from machine learning, identifying the common origin and mathematical …

Predictive coding is a promising framework for understanding brain function. It postulates
that the brain continuously inhibits predictable sensory input, ensuring preferential …

In many neural systems anatomical motifs are present repeatedly, but despite their structural
similarity they can serve very different tasks. A prime example for such a motif is the …