Perception and perceptual decision-making are strongly facilitated by prior knowledge about
the probabilistic structure of the world. While the computational benefits of using prior …

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

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 …

Decades of neurobiological research have disclosed the diverse manners in which the
response properties of neurons are dynamically modulated to support adaptive cognitive …

For many years, the dominant theoretical framework guiding research into the neural origins
of perceptual experience has been provided by hierarchical feedforward models, in which …

Active inference is a mathematical framework which originated in computational
neuroscience as a theory of how the brain implements action, perception and learning …

Neuromorphic hardware enables fast and power-efficient neural network–based artificial
intelligence that is well suited to solving robotic tasks. Neuromorphic algorithms can be …

Predictive coding is possibly one of the most influential, comprehensive, and controversial
theories of neural function. While proponents praise its explanatory potential, critics object …

The human brain is a complex, adaptive system comprised of billions of cells with trillions of
connections. The interactions between the elements of the system oppose this seemingly …

When we clap our hands in synchrony, feel the sadness of a friend, or match our attitudes to
peer norms, we align our behavior with others. We propose here a model that views …