In this Review, we describe the singular success of attractor neural network models in
describing how the brain maintains persistent activity states for working memory, corrects …

Emotion has a substantial influence on the cognitive processes in humans, including
perception, attention, learning, memory, reasoning, and problem solving. Emotion has a …

The brain recruits neuronal populations in a temporally coordinated manner in task and at
rest. However, the extent to which large-scale networks exhibit their own organized temporal …

This review article summarizes various functions of the dorsolateral prefrontal cortex
(DLPFC) that are related to language processing. To this end, its connectivity with the left …

Sensory memory, formed at the beginning while perceiving and interacting with the
environment, is considered a primary source of intelligence. Transferring such biological …

Recent theoretical models propose that working memory is mediated by rapid transitions
in'activity-silent'neural states (for example, short-term synaptic plasticity). According to the …

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

Recent breakthroughs in artificial intelligence (AI) have enabled machines to plan in tasks
previously thought to be uniquely human. Meanwhile, the planning algorithms implemented …

Early adolescent substance use dramatically increases the risk of lifelong substance use
disorder (SUD). An adolescent sensitive period evolved to allow the development of risk …

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 …