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人类视觉系统中的连续时间整合。

Continuous temporal integration in the human visual system.

作者信息

Deodato Michele, Melcher David

机构信息

Psychology Program, Division of Science, New York University Abu Dhabi, Abu Dhabi, UAE.

Center for Brain and Health, NYUAD Research Institute, New York University Abu Dhabi, Abu Dhabi, UAE.

出版信息

J Vis. 2024 Dec 2;24(13):5. doi: 10.1167/jov.24.13.5.

Abstract

The human visual system is continuously processing visual information to maintain a coherent perception of the environment. Temporal integration, a critical aspect of this process, allows for the combination of visual inputs over time, enhancing the signal-to-noise ratio and supporting high-level cognitive functions. Traditional methods for measuring temporal integration often require a large number of trials made up of a fixation period, stimuli separated by a blank interval, a single forced choice, and then a pause before the next trial. This trial structure potentially introduces fatigue and biases. Here, we introduce a novel continuous temporal integration (CTI) task designed to overcome these limitations by allowing free visual exploration and continuous mouse responses to dynamic stimuli. Fifty participants performed the CTI, which involved adjusting a red bar to indicate the point where a flickering sine wave grating became indistinguishable from noise. Our results, modeled by an exponential function, indicate a reliable temporal integration window of ∼100 ms. The CTI's design facilitates rapid and reliable measurement of temporal integration, demonstrating potential for broader applications across different populations and experimental settings. This task provides a more naturalistic and efficient approach to understanding this fundamental aspect of visual perception.

摘要

人类视觉系统不断处理视觉信息,以维持对环境的连贯感知。时间整合是这一过程的关键方面,它允许随着时间的推移对视觉输入进行组合,提高信噪比并支持高级认知功能。传统的测量时间整合的方法通常需要大量的试验,包括一个注视期、由空白间隔隔开的刺激、单次强制选择,然后在下一次试验前暂停。这种试验结构可能会引入疲劳和偏差。在这里,我们介绍一种新颖的连续时间整合(CTI)任务,旨在通过允许自由视觉探索和对动态刺激的连续鼠标响应来克服这些限制。五十名参与者执行了CTI任务,该任务涉及调整一个红色条来指示闪烁的正弦波光栅变得与噪声无法区分的点。我们用指数函数建模的结果表明,可靠的时间整合窗口约为100毫秒。CTI任务的设计有助于快速可靠地测量时间整合,展示了在不同人群和实验环境中更广泛应用的潜力。这项任务为理解视觉感知的这一基本方面提供了一种更自然和有效的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f33/11622157/29a044723c46/jovi-24-13-5-f001.jpg

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