This paper considers functional integration in the brain from a computational perspective.
We ask what sort of neuronal message passing is mandated by active inference—and what …

Neuronal computations rely upon local interactions across synapses. For a neuronal
network to perform inference, it must integrate information from locally computed messages …

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

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

The second edition of" Connectionism and the Mind" provides an introduction to
connectionist networks and explores their theoretical and philosophical implications. The …

The prefrontal cortex is vital for a range of cognitive processes, including working memory,
attention, and decision-making. Notably, its absence impairs the performance of tasks …

Abstract" Connectionism and the Mind" provides an introduction to this newly emerging
approach to understanding the mind. The first few chapters focus on network architecture …

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 assumes that cortical circuits have evolved to enable inference about the causes
of sensory input received by the brain. This provides a principled specification of what neural …

Connectionist models can be characterized within the more general framework of
probabilistic graphical models, which allow to efficiently describe complex statistical …