During learning, the brain modifies synapses to improve behaviour. In the cortex, synapses
are embedded within multilayered networks, making it difficult to determine the effect of an …

We review the central tenets and neuroanatomical basis of the global neuronal workspace
(GNW) hypothesis, which attempts to account for the main scientific observations regarding …

This perspective describes predictive processing as a computational framework for
understanding cortical function in the context of emerging evidence, with a focus on sensory …

Loss of consciousness is associated with the disruption of long-range thalamocortical and
corticocortical brain communication. We tested the hypothesis that deep brain stimulation …

Recent breakthroughs in neurobiology indicate that the time is ripe to understand how
cellular-level mechanisms are related to conscious experience. Here, we highlight the …

Deep learning has seen remarkable developments over the last years, many of them
inspired by neuroscience. However, the main learning mechanism behind these advances …

The output of cortical columns is routed to different downstream targets via distinct pathways:
cortico-cortical and cortico-subcortical. It is as yet unclear what roles these pathways play in …

Deep learning has led to significant advances in artificial intelligence, in part, by adopting
strategies motivated by neurophysiology. However, it is unclear whether deep learning …

There is as yet no consensus concerning the neural basis of perception and how it operates
at a mechanistic level. We found that Ca2+ activity in the apical dendrites of a subset of layer …

Humans and many other animals have an enormous capacity to learn about sensory stimuli
and to master new skills. However, many of the mechanisms that enable us to learn remain …