A Plausible Micro Neural Circuit for Decision-Making

Abstract

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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