Brain-Inspired Computation

Brain-Inspired Computation refers to the development of computer systems and algorithms that mimic the way the human brain processes information. By studying neural networks, the structure and functions of neurons, and patterns of learning and memory, researchers aim to create more efficient and versatile computational models. This approach seeks to enhance artificial intelligence through features like parallel processing and adaptability, allowing machines to learn from experience much like humans do. Ultimately, brain-inspired computation aims to improve problem-solving capabilities and enable more intuitive interactions between humans and machines.