Artificial neural networks (ANNs) inspired by biology are beginning to be widely used to
model behavioural and neural data, an approach we call 'neuroconnectionism'. ANNs have …

Artificial neural networks (ANNs) have undergone a revolution, catalyzed by better
supervised learning algorithms. However, in stark contrast to young animals (including …

Understanding the amazingly complex human cerebral cortex requires a map (or
parcellation) of its major subdivisions, known as cortical areas. Making an accurate areal …

Objective: Disrupted emotional processing is a common feature of many psychiatric
disorders. The authors investigated functional disruptions in neural circuitry underlying …

The human visual system is an intricate network of brain regions that enables us to
recognize the world around us. Despite its abundant lateral and feedback connections …

To date, fMRI research has been concerned primarily with evincing generic principles of
brain function through averaging data from multiple subjects. Given rapid developments in …

Many cognitive abilities decline with age even in the absence of detectable pathology.
Recent evidence indicates that age-related neural dedifferentiation, operationalized in terms …

Social cognition broadly refers to the processing of social information in the brain that
underlies abilities such as the detection of others' emotions and responding appropriately to …

Emotions are valenced mental responses and associated physiological reactions that occur
spontaneously and automatically in response to internal or external stimuli, and can …

Understanding the brain requires us to answer both what the brain does, and how it does it.
Using a series of examples, I make the case that behavior is often more useful than …