Behavioral Decision Making And EEG Characteristics Analysid

Decision-making is closely related to our life and is a basic activity in human life from the formulation of national policy and the daily life of the individual. EEG (Electroencephalogram) is the formation of the postsynaptic potential of a large number of neurons in the brain when the brain is active. It records the changes in the electrical activity of the brain,which is a general reflection of the electrical activity of brain cells in the cortex or scalp. .At present, there are some preliminary achievements in the research of behavioral decision making.On the basis of previous studies, this paper makes a further study on the behavior and characteristics of behavioral decision making in EEG.We make a more systematic study of behavioral decision making by making game decision making experiment and escape decision model, and make further research and explanation on the behavior and characteristics of EEG.Based on this,this paper from the following three parts of research work:1、We make game decisions through experiment, rewards and punishment experiment system to determine when people gain and loss when brain waves on the reaction and characteristics, and points out that in the brain which is a major part of the region to participate in decision-making and the people in the choice of brain wave characteristics.The results show that the prefrontal cortex is a major part of the brain involved in decision making, and the impact of the loss on the brain region is stronger than the gain.2、Panic is an important psychological behavior of escape behavior,and different levels of panic will have a greater impact on the efficiency of escape.In order to further study the response and characteristics of different panic states in the brain waves we set up three different situations: normal, fire and relaxation,and under the three different situations, the normal state of the subject, the state of panic and the state of relaxation.Participants trigger the P300 under different conditions by Oddball in the experiment of target stimuli under three different conditions, through the analysis of the characteristics of P300, results show that when participants in the state of panic the P300 latency advance and the in relaxed state the P300 latency delay.3、An escape decision-making model is established,this article adopts the method the of computer simulation using a two-dimensional cellular automaton evacuation model.The model of pedestrian evacuation adopts Moore type neighborhood.The concept of panic parameter is introduced into the model, and the higher the panic parameter value is,the higher the panic is.Different state of panic showed different escape behavior.Panic parameters indicate the degree of panic in the escape,the research shows that the level of panic is neither better nor as low as possible, but in a relatively modest state of panic can actively and orderly evacuation and escape efficiency.In this paper, through the systematic study of the above three parts,the combination of behavioral decision and brain science is of great significance to measure the response and characteristics of brain waves under different decision making by using brain waves.The results of this study provide us with a better understanding of behavioral decision making.Through the analysis of EEG signals, we can understand the influence of different regions in the process of game decision-making.In the process of escape behavior decision making, we can make a better escape strategy, and make us more aware of the impact of panic on the brain waves.The research contents and results of this paper will also have some reference value for the next research.