Neuroscience seeks to understand how neural circuits lead to behavior.However, the gap between circuits and behavior is too wide[Carandini,2012].To explore how the microscopic activity of neurons leads to macroscopic behavioral control strategy, this paper considered various behaviors that humans and animals exhibit following some basic control laws, which can be described by simple logic language.The pulse mode of biological neurons is viewed as an expression of logical propositions, and a circuit constructed by biological neurons is seen as an equivalent achievement of logical operations [McCulloch,1943].And we know that any one complex logical operation can be equivalent to a logical expression that only contains three basic (And, Or, Negative) operation.This paper first designed the functional networksof basic logic operations (And, Or, Negative, and Imply) by neuron clusters based on the known neurophysiological properties, and then,using 4 functional networks constructed a possible neural circuit for decision logicofanimals behavior.Finally, we simulated a decision-making process of animal behavior.The significance of this study is that it proposes a theory that treating the neurons, constituting neural circuits and its working principle from a logical perspective under the premise of strict compliance with the neural electrophysiological characteristics and anatomical facts.In addition, this study provides a general approach for constructing the neural circuits to implement the behavioral control logic.This study will help us to establish a transitional bridge between the microscopic activity of the nervous system and the macroscopic animal behavior.