AP Psychology Practice Test 2025 - Free AP Psychology Practice Questions and Study Guide

Neural networks are systems made up of interconnected neurons that facilitate processing information and learning from experiences. The ability of neural networks to learn from experience through feedback is a foundational aspect of them, allowing them to adapt and improve their performance over time. This learning process often involves adjusting the connections between neurons based on the outcomes of previous experiences, thus enhancing their capability to recognize patterns, make decisions, or predict outcomes.

This option stands out because it captures the dynamic nature of neural networks, which have the capacity to modify their behavior based on input and feedback, in contrast to simply transmitting information or consisting solely of specific types of neurons. Neural networks can incorporate a variety of types of neurons and pathways, enhancing their complexity and functionality in various tasks beyond mere sensory processing or direct control of biological functions.