Perceptual models are frameworks that attempt to simulate or understand how humans perceive sensory information, often used in fields like machine learning and cognitive science to enhance artificial systems' ability to interpret real-world data. They are crucial for developing technologies that interact naturally with human users by mimicking human perception processes, such as in image recognition or speech processing.