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 …

Biological organisms learn from interactions with their environment throughout their lifetime.
For artificial systems to successfully act and adapt in the real world, it is desirable to similarly …

Brains contain networks of interconnected neurons and so knowing the network architecture
is essential for understanding brain function. We therefore mapped the synaptic-resolution …

An influential line of thinking in behavioral science, to which the two authors have long
subscribed, is that many of society's most pressing problems can be addressed cheaply and …

Spontaneous animal behaviour is built from action modules that are concatenated by the
brain into sequences,. However, the neural mechanisms that guide the composition of …

The brain is the perfect place to look for inspiration to develop more efficient neural
networks. The inner workings of our synapses and neurons provide a glimpse at what the …

Map** behavioural actions to neural activity is a fundamental goal of neuroscience. As our
ability to record large neural and behavioural data increases, there is growing interest in …

The most influential account of phasic dopamine holds that it reports reward prediction
errors (RPEs). The RPE-based interpretation of dopamine signaling is, in its original form …

Learning to predict rewards based on environmental cues is essential for survival. It is
believed that animals learn to predict rewards by updating predictions whenever the …

Dopamine (DA) plays multiple roles in a wide range of physiological and pathological
processes via a large network of dopaminergic projections. To dissect the spatiotemporal …