首页> 外文期刊>Journal of the Optical Society of America, A. Optics, image science, and vision >Stochastic variations in sensory awareness are driven by noisy neuronal adaptation: evidence from serial correlations in perceptual bistability
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Stochastic variations in sensory awareness are driven by noisy neuronal adaptation: evidence from serial correlations in perceptual bistability

机译:嘈杂的神经元适应驱动感觉觉知觉的随机变化:感知双稳态的系列相关性证据

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摘要

When the sensory system is subjected to ambiguous input, perception alternates between interpretations in a seemingly random fashion. Although neuronal noise obviously plays a role, the neural mechanism for the generation of randomness at the slow time scale of the percept durations (multiple seconds) is unresolved. Here significant nonzero serial correlations are reported in series of visual percept durations (to the author's knowledge for the first time accounting for duration impurities caused by reaction time, drift, and incomplete percepts). Serial correlations for perceptual rivalry using structure-from-motion ambiguity were smaller than for binocular rivalry using orthogonal gratings. A spectrum of computational models is considered, and it is concluded that noise in adaptation of percept-related neurons causes the serial correlations. This work bridges, in a physiologically plausible way, widely appreciated deterministic modeling and randomness in experimental observations of visual rivalry.
机译:当感觉系统受到不明确的输入时,知觉在看似不同的解释之间交替。尽管神经元噪声显然起作用,但仍未解决在感知持续时间(几秒钟)的较慢时间尺度上产生随机性的神经机制。在此,在一系列视觉感知持续时间中报告了显着的非零序列相关性(据作者首次了解,这是由反应时间,漂移和不完整感知造成的持续时间杂质)。与使用正交光栅的双目竞争相比,使用动从结构歧义进行知觉竞争的序列相关性要小。考虑了一系列的计算模型,并得出结论,与知觉相关的神经元的适应过程中的噪声引起了序列相关性。这项工作以生理上合理的方式桥接了广泛认可的视觉竞争实验观察中的确定性建模和随机性。

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