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 …

Convolutional neural networks (CNNs) were inspired by early findings in the study of
biological vision. They have since become successful tools in computer vision and state-of …

Understanding the operation of biological and artificial networks remains a difficult and
important challenge. To identify general principles, researchers are increasingly interested …

The rapid release of high-performing computer vision models offers new potential to study
the impact of different inductive biases on the emergent brain alignment of learned …

The rich variety of behaviours observed in animals arises through the interplay between
sensory processing and motor control. To understand these sensorimotor transformations, it …

The visual system of mammals is comprised of parallel, hierarchical specialized pathways.
Different pathways are specialized in so far as they use representations that are more …

Deep neural networks (DNNs) trained on object recognition provide the best current models
of high-level visual cortex. What remains unclear is how strongly experimental choices, such …

Achievement of human-level image recognition by deep neural networks (DNNs) has
spurred interest in whether and how DNNs are brain-like. Both DNNs and the visual cortex …

The representations of neural networks are often compared to those of biological systems by
performing regression between the neural network responses and those measured from …

Recent advances in artificial intelligence (AI) and neuroscience are impressive. In AI, this
includes the development of computer programs that can beat a grandmaster at GO or …