A potentially organizing goal of the brain and cognitive sciences is to accurately explain
domains of human intelligence as executable, neurally mechanistic models. Years of …

A central goal of neuroscience is to understand the representations formed by brain activity
patterns and their connection to behaviour. The classic approach is to investigate how …

Recent work has sought to understand the behavior of neural networks by comparing
representations between layers and between different trained models. We examine methods …

Deep neural networks (DNNs) have had extraordinary successes in classifying
photographic images of objects and are often described as the best models of biological …

Understanding object representations requires a broad, comprehensive sampling of the
objects in our visual world with dense measurements of brain activity and behavior. Here …

Functional neuroimaging techniques have transformed our ability to probe the
neurobiological basis of behaviour and are increasingly being applied by the wider …

Intracranial electroencephalography (iEEG), also known as electrocorticography when using
subdural grid electrodes or stereotactic EEG when using depth electrodes, is blossoming in …

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 …

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 …

Our lives revolve around sharing experiences and memories with others. When different
people recount the same events, how similar are their underlying neural representations …