The electrical signals of the human brain are regular but not stable, which is due to the complexity and dynamics of the human brain.
1.Complexity: The human brain is a highly complex system made up of billions of neurons and trillions of neuronal connections. These neurons form a complex network that communicates with each other through electrochemical signals. This complexity leads to a large number of signal interactions and information processing, which makes electrical signals present complex and diverse patterns and laws.
2.Dynamics: The activity of the human brain is dynamic and is affected by a variety of factors such as the external environment, emotions, cognitive tasks, etc. This dynamics leads to changes in the human EEG signals, causing the characteristics of the signals to change over time. For example, when performing a certain cognitive task, neural activity in specific areas increases and decreases when resting or relaxing.
3.Nonlinearity and noise: Human brain activity has nonlinearity and noise characteristics. The interaction between neurons and the propagation process of nerve signals are affected by nonlinear effects, which make the signals exhibit complex dynamic behaviors. In addition, the external environment and physiological noise will also affect the stability of the human EEG signal, making the signal show a certain degree of uncertainty in time and space.
In summary, the human EEG signal is regular but not stable, which is due to the complexity, dynamics, and nonlinear nature of the human brain. This complex signaling pattern reflects the diversity and flexibility of human brain activity, providing challenges and richness for understanding human brain function and cognitive processes.