A Plausible Micro Neural Circuit for Decision-Making


An intermediate level between neural circuits and behaviors is neural computations, various behaviors that animals exhibit following some basic control laws can be implemented by some canonical neural computations [Carandini, 2012]. To explore how the microscopic activity of neurons leads to macroscopic behavioral control strategy, we consider basic logic-like operations as some canonical computations in brain. In this paper, firstly we designed the functional circuits for basic logic-like operations based on the known neurophysiological properties. Secondly, using basic functional circuits constructed a possible neural network for decision logic of animal’s behavior. This study provides a general approach for constructing the neural circuits to implement the behavioral control rules. Furthermore, this study will help us to establish a transitional bridge between the microscopic activity of the nervous system and the macroscopic animal behavior.

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