Neural Network simulation

Neural network simulation refers to the emulation of abstract or biophysical neural networks on a computer through code, aiming to study their structure, function, and dynamic characteristics. The goal of this task is to explore the information processing mechanisms of neural networks through computational models, uncovering the principles of how the nervous system works, and providing theoretical support and technical means for fields such as neuroscience, cognitive science, and artificial intelligence. Its application value lies in optimizing algorithm design, enhancing machine learning performance, and developing new intelligent systems.