吸引子
多稳态
计算机科学
集合(抽象数据类型)
噪音(视频)
感知
认知心理学
统计物理学
人工智能
心理学
数学
物理
非线性系统
神经科学
数学分析
量子力学
图像(数学)
程序设计语言
作者
Jochen Braun,Maurizio Mattia
出处
期刊:NeuroImage
[Elsevier BV]
日期:2010-09-01
卷期号:52 (3): 740-751
被引量:104
标识
DOI:10.1016/j.neuroimage.2009.12.126
摘要
Perceptual decisions are made not only during goal-directed behavior such as choice tasks, but also occur spontaneously while multistable stimuli are being viewed. In both contexts, the formation of a perceptual decision is best captured by noisy attractor dynamics. Noise-driven attractor transitions can accommodate a wide range of timescales and a hierarchical arrangement with "nested attractors" harbors even more dynamical possibilities. The attractor framework seems particularly promising for understanding higher-level mental states that combine heterogeneous information from a distributed set of brain areas.
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