Description: Neuroadaptive systems are a type of technology that uses neural networks to adjust their behavior based on feedback received from the environment. These systems are capable of learning and adapting to new situations, allowing them to improve their performance over time. The essence of neuroadaptive systems lies in their ability to process information similarly to the human brain, using algorithms that mimic how neurons communicate and learn. This adaptability allows them to be used in a variety of applications across different fields, from pattern recognition to decision-making in complex environments. The main characteristics of these systems include self-adjustment capability, continuous improvement, and customization based on user or environmental needs. Their relevance in the field of artificial intelligence is significant, as they represent a step towards creating machines that not only perform predefined tasks but can also learn from their experiences and autonomously enhance their functioning.
