How do animals represent space, time, number, and rate? From insects to humans, Charles Gallistel explores the sophisticated computations performed in these ubiquitous but neglected domains of animal learning. He proposes new hypotheses about brain and mental processes and provides insights about animal behavior using a computational-representational framework that is an image native alternative to traditional associative theories of learning.