The last ten years of attention research have witnessed a revolution, replacing a theoretical
dichotomy (top-down vs. bottom-up control) with a trichotomy (biased by current goals …

Explore-exploit decisions require us to trade off the benefits of exploring unknown options to
learn more about them, with exploiting known options, for immediate reward. Such decisions …

Physical laws—such as the laws of motion, gravity, electromagnetism, and thermodynamics—
codify the general behavior of varied macroscopic natural systems across space and time …

The original" Seven Motifs" set forth a roadmap of essential methods for the field of scientific
computing, where a motif is an algorithmic method that captures a pattern of computation …

Decisions made by mammals and birds are often temporally extended. They require
planning and sampling of decision-relevant information. Our understanding of such decision …

Curiosity plays a fundamental role for learning and memory, but the neural mechanisms that
stimulate curiosity and its effect on memory are poorly understood. Accumulating evidence …

Advances in artificial intelligence are stimulating interest in neuroscience. However, most
attention is given to discrete tasks with simple action spaces, such as board games and …

Curiosity is considered to be the essence of science and an integral component of cognition.
What prompts curiosity in a learner? Previous theoretical accounts of curiosity remain …

Building autonomous machines that can explore open-ended environments, discover
possible interactions and build repertoires of skills is a general objective of artificial …

Intrinsically motivated spontaneous exploration is a key enabler of autonomous
developmental learning in human children. It enables the discovery of skill repertoires …