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 …

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 …

Face-selective neurons are observed in the primate visual pathway and are considered as
the basis of face detection in the brain. However, it has been debated as to whether this …

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 …

Number sense, the ability to estimate numerosity, is observed in naïve animals, but how this
cognitive function emerges in the brain remains unclear. Here, using an artificial deep …

The rapid development and open-source release of highly performant computer vision
models offers new potential for examining how different inductive biases impact …

The sciences of biological and artificial intelligence are ever more intertwined. Neural
computational principles inspire new intelligent machines, which are in turn used to advance …

Understanding how biological visual systems process information is challenging due to the
complex nonlinear relationship between neuronal responses and high-dimensional visual …

The sciences of natural and artificial intelligence are fundamentally connected. Brain-
inspired human-engineered AI are now the standard for predicting human brain responses …

Stimulus images can be reconstructed from visual cortical activity. However, our perception
of stimuli is shaped by both stimulus-induced and top-down processes, and it is unclear …