What does a neural network primarily simulate?

A neural network primarily simulates human cognitive processes. This technology is inspired by the way the human brain operates, and it uses interconnected nodes (similar to neurons) to process information. Neural networks are designed to recognize patterns, learn from data, and make decisions based on that learned information, mimicking aspects of human thought and problem-solving abilities.

In the context of artificial intelligence and machine learning, neural networks are particularly powerful in tasks such as image recognition, language processing, and autonomous systems, where they imitate the way humans learn and adapt to new information. This design reflects the intent to create systems that can improve their performance over time, similar to how humans refine their cognitive capabilities through experience.