Scholars have argued for centuries that affective states involve interoception, or
representations of the state of the body. Yet, we lack a mechanistic understanding of how …

The ability to predict, anticipate and reason about future outcomes is a key component of
intelligent decision-making systems. In light of the success of deep learning in computer …

Humans view the world through many sensory channels, eg, the long-wavelength light
channel, viewed by the left eye, or the high-frequency vibrations channel, heard by the right …

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 …

The processing of rewards and losses are crucial to everyday functioning. Considerable
interest has been attached to investigating the anticipation and outcome phases of reward …

Recent advancements in cognitive neuroscience have afforded a description of neural
responses in terms of latent algorithmic operations. However, the adoption of this approach …

The ability to prioritize valuable information is critical for the efficient use of memory in daily
life. When information is important, we engage more effective encoding mechanisms that …

Sensory signals are highly structured in both space and time. These structural regularities in
visual information allow expectations to form about future stimulation, thereby facilitating …

There have been numerous attempts to explain the enigma of autism, but existing
neurocognitive theories often provide merely a refined description of 1 cluster of symptoms …

An exciting theory in neuroscience is that the brain is an organ for prediction error
minimization (PEM). This theory is rapidly gaining influence and is set to dominate the …