Significant experimental, computational, and theoretical work has identified rich structure
within the coordinated activity of interconnected neural populations. An emerging challenge …

Artificial neural networks (ANNs) are essential tools in machine learning that have drawn
increasing attention in neuroscience. Besides offering powerful techniques for data analysis …

Complex biomolecular circuits enabled cells with intelligent behaviour to survive before
neural brains evolved. Since DNA computing was first demonstrated in the mid-1990s …

Theories of human cognition prominently feature'Broca's area', which causally contributes to
a myriad of mental functions. However, Broca's area is not a monolithic, multipurpose unit–it …

Neuronal representations change as associations are learned between sensory stimuli and
behavioral actions. However, it is poorly understood whether representations for learned …

Specialization and hierarchy are organizing principles for primate cortex, yet there is little
direct evidence for how cortical areas are specialized in the temporal domain. We measured …

In this review, we summarize findings supporting the existence of multiple behavioral
strategies for controlling reward-related behavior, including a dichotomy between the goal …

A prominent account of prefrontal cortex (PFC) function is that single neurons within the PFC
maintain representations of task-relevant stimuli in working memory. Evidence for this view …

Unlike brain regions that respond selectively to specific kinds of information content, a
number of frontal and parietal regions are thought to be domain-and process-general: that …

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 …