Working memory is the fundamental function by which we break free from reflexive input-
output reactions to gain control over our own thoughts. It has two types of mechanisms …

A major shift is happening within neurophysiology: a population doctrine is drawing level
with the single-neuron doctrine that has long dominated the field. Population-level ideas …

Humans have the remarkable cognitive capacity to rapidly adapt to changing environments.
Central to this capacity is the ability to form high-level, abstract representations that take …

Non-recurrent deep convolutional neural networks (CNNs) are currently the best at
modeling core object recognition, a behavior that is supported by the densely recurrent …

The curse of dimensionality plagues models of reinforcement learning and decision making.
The process of abstraction solves this by constructing variables describing features shared …

Multivariate pattern analysis (MVPA) or brain decoding methods have become standard
practice in analyzing fMRI data. Although decoding methods have been extensively applied …

Working memory (WM) provides the functional backbone to high-level cognition.
Maintenance in WM is often assumed to depend on the stationary persistence of neural …

A major debate about the neural correlates of conscious perception concerns its cortical
organization, namely, whether it includes the prefrontal cortex (PFC), which mediates …

Spatial working memory, the caching of behaviourally relevant spatial cues on a timescale of
seconds, is a fundamental constituent of cognition. Although the prefrontal cortex and …

Single-neuron activity in the prefrontal cortex (PFC) is tuned to mixtures of multiple task-
related aspects. Such mixed selectivity is highly heterogeneous, seemingly disordered and …