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Imagine that every time you experience a beautiful sunset, you post a picture of it on Instagram. Your first few photos get tons of “likes,” but then one day you post another one and it only gets “liked” by a few people—do you post a picture of the next sunset you see? Making choices and seeing what happens helps us learn things about the world around us, which influences the future choices that we make. Neuroscience researchers have developed mathematical models to explain how people learn from the good and bad outcomes of their past choices. These models are generally referred to as reinforcement learning models. In this article, we explain situations in which we might use reinforcement learning in the real world, how math equations can help us understand this process, and how researchers study the way the brain learns from experience to make good choices. YOUNG REVIEWERS:

Equation Invasion! How Math can Explain How the Brain Learns