Neural network models can now recognise images, understand text, translate languages,
and play many human games at human or superhuman levels. These systems are highly …

The goal of computational neuroscience is to find mechanistic explanations of how the
nervous system processes information to support cognitive function and behaviour. At the …

Researchers have proposed that deep learning, which is providing important progress in a
wide range of high complexity tasks, might inspire new insights into learning in the brain …

Neuroscience research is undergoing a minor revolution. Recent advances in machine
learning and artificial intelligence research have opened up new ways of thinking about …

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In recent years, the family of algorithms collected under the term “deep learning” has
revolutionized artificial intelligence, enabling machines to reach human-like performances in …

The remarkable successes of convolutional neural networks (CNNs) in modern computer
vision are by now well known, and they are increasingly being explored as computational …

Artificial deep neural networks (DNNs) initially inspired by the brain enable computers to
solve cognitive tasks at which humans excel. In the absence of explanations for such …

Neuroscience and artificial intelligence (AI) share a long history of collaboration. Advances
in neuroscience, alongside huge leaps in computer processing power over the last few …

The goal of cognitive neuroscience is to understand how mental operations are performed
by the brain. Given the complexity of the brain, this is a challenging endeavor that requires …