The basis of brain-like control is the development of neuroscience. The human brain consists of about 86 billion neurons, which are connected by synapses to
form a complex network structure. This highly parallel, adaptive and self-learning feature provides inspiration for building a new intelligent control system. One of the key technologies of brain-like bionic control is Spiking Neural Network, SNN), which is closer to the real working mode of biological neurons, can simulate the discharge behavior of neurons and realize more efficient signal processing and information storage.
At the application level, brain-like control has shown great potential in many
fields such as robots, autonomous driving and drones. For example, the brain-like control system can give robots stronger environmental awareness and autonomous decision-making ability, so that they can react flexibly in complex environments like humans. In the intelligent transportation system, the brain-like controller can process massive data in real time, make quick and accurate judgments, and improve the efficiency and safety of the system.
The core challenge to realize brain-like control is how to efficiently simulate the structure and function of the brain and transform it into a practical calculation model. This requires not only the interdisciplinary cooperation of neuroscience, computer science and materials science, but also the support of hardware technology, such as the development of brain-like chips (neuromimetic chips), which can greatly improve the computational efficiency and reduce energy consumption.
In the future, with the progress of bionic technology, brain-like control is expected to realize “autonomous intelligence” in the true sense and break through the bottleneck of traditional artificial intelligence in learning
ability, adaptability and energy consumption. It will not only promote the development of intelligent machines, but also provide a new perspective for human beings to understand their own brains.
In a word, brain-like control, as an important direction of bionic technology, is leading a revolution of intelligent control. By studying the operating mechanism of the human brain and applying it to the control system, we are moving towards a more intelligent and autonomous future world step by step.