To learn how cognition is implemented in the brain, we must build computational models
that can perform cognitive tasks, and test such models with brain and behavioral …

Skilled sensorimotor interactions with the world result from a series of decision-making
processes that determine, on the basis of information extracted during the unfolding …

In this chapter, we explore Support Vector Machine (SVM)—a machine learning method that
has become exceedingly popular for neuroimaging analysis in recent years. Because of …

Contextual embeddings, derived from deep language models (DLMs), provide a continuous
vectorial representation of language. This embedding space differs fundamentally from the …

Our capacity to jointly represent information about the world underpins our social
experience. By leveraging one individual's brain activity to model another's, we can measure …

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 …

Measurement of correlations between brain regions (functional connectivity) using blood
oxygen level dependent (BOLD) fMRI has proven to be a powerful tool for studying the …

Functional correspondences between deep convolutional neural networks (DCNNs) and the
mammalian visual system support a hierarchical account in which successive stages of …

The ability to experience pleasant or unpleasant feelings or to represent objects as “positive”
or “negative” is known as representing hedonic “valence.” Although scientists …

What happens in our brains when we compose a melody, write a poem, paint a picture, or
choreograph a dance sequence? How is this different from what occurs in the brain when …