A decision-making model based on a spiking neural circuit and synaptic plasticity

被引:0
|
作者
Hui Wei
Yijie Bu
Dawei Dai
机构
[1] Fudan University,Laboratory of Cognitive Modeling and Algorithms, Shanghai Key Laboratory of Data Science, Department of Computer Science
来源
Cognitive Neurodynamics | 2017年 / 11卷
关键词
Decision-making behavior; Drift diffusion model; Spiking neural circuit; Synaptic plasticity; Learning mechanism;
D O I
暂无
中图分类号
学科分类号
摘要
To adapt to the environment and survive, most animals can control their behaviors by making decisions. The process of decision-making and responding according to cues in the environment is stable, sustainable, and learnable. Understanding how behaviors are regulated by neural circuits and the encoding and decoding mechanisms from stimuli to responses are important goals in neuroscience. From results observed in Drosophila experiments, the underlying decision-making process is discussed, and a neural circuit that implements a two-choice decision-making model is proposed to explain and reproduce the observations. Compared with previous two-choice decision making models, our model uses synaptic plasticity to explain changes in decision output given the same environment. Moreover, biological meanings of parameters of our decision-making model are discussed. In this paper, we explain at the micro-level (i.e., neurons and synapses) how observable decision-making behavior at the macro-level is acquired and achieved.
引用
收藏
页码:415 / 431
页数:16
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