Abstract
Understanding the neural basis of natural intelligence necessitates a paradigm shift: from strict reductionism toward embracing complexity and diversity. New tools and theories enable us to tackle this challenge, providing unprecedented access to neural dynamics and behavior across time, contexts, and species. Principles for intelligent behavior and learning in the natural world are now, more than ever, within reach.
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