Throughout life, new neurons are continuously added to the dentate gyrus. As this continuous
addition remodels hippocampal circuits, computational models predict that neurogenesis …

Abstract Systems neuroscience seeks explanations for how the brain implements a wide
variety of perceptual, cognitive and motor tasks. Conversely, artificial intelligence attempts to …

Neuroscience has long been an essential driver of progress in artificial intelligence (AI). We
propose that to accelerate progress in AI, we must invest in fundamental research in NeuroAI…

10.7554/eLife.22901.001 Deep learning has led to significant advances in artificial intelligence,
in part, by adopting strategies motivated by neurophysiology. However, it is unclear …

Synaptic plasticity is believed to be a key physiological mechanism for learning. It is well
established that it depends on pre- and postsynaptic activity. However, models that rely solely …

The predominant focus in the neurobiological study of memory has been on remembering (persistence).
However, recent studies have considered the neurobiology of forgetting (…

Memories are thought to be sparsely encoded in neuronal networks, but little is known
about why a given neuron is recruited or allocated to a particular memory trace. Previous …

Recently, deep learning has unlocked unprecedented success in various domains, especially
using images, text, and speech. However, deep learning is only beneficial if the data have …

The present investigation sought to identify which brain regions distinguish pedophilic from
nonpedophilic men, using unbiased, automated analyses of the whole brain. T1-weighted …

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 …