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利用有限视觉信息的超快场景检测与识别

Ultrafast scene detection and recognition with limited visual information.

作者信息

Hagmann Carl Erick, Potter Mary C

机构信息

Massachusetts Institute of Technology.

出版信息

Vis cogn. 2016;24(1):2-14. doi: 10.1080/13506285.2016.1170745. Epub 2016 Jul 8.

DOI:10.1080/13506285.2016.1170745
PMID:28255263
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5328417/
Abstract

Humans can detect target color pictures of scenes depicting concepts like or in sequences of six or twelve pictures presented as briefly as 13 ms, even when the target is named after the sequence (Potter, Wyble, Hagmann, & McCourt, 2014). Such rapid detection suggests that feedforward processing alone enabled detection without recurrent cortical feedback. There is debate about whether coarse, global, low spatial frequencies (LSFs) provide predictive information to high cortical levels through the rapid magnocellular (M) projection of the visual path, enabling top-down prediction of possible object identities. To test the "Fast M" hypothesis, we compared detection of a named target across five stimulus conditions: unaltered color, blurred color, grayscale, thresholded monochrome, and LSF pictures. The pictures were presented for 13-80 ms in six-picture rapid serial visual presentation (RSVP) sequences. Blurred, monochrome, and LSF pictures were detected less accurately than normal color or grayscale pictures. When the target was named the sequence, all picture types except LSF resulted in above-chance detection at all durations. Crucially, when the name was given only the sequence, performance dropped and the monochrome and LSF pictures (but not the blurred pictures) were at or near chance. Thus, without advance information, monochrome and LSF pictures were rarely understood. The results offer only limited support for the Fast M hypothesis, suggesting instead that feedforward processing is able to activate conceptual representations without complementary reentrant processing.

摘要

即使目标在序列之后被命名,人类也能够在以短至13毫秒呈现的六张或十二张图片序列中检测到描绘诸如或等概念的场景的目标彩色图片(波特、怀布尔、哈格曼和麦考特,2014年)。这种快速检测表明,仅前馈处理就能够实现检测,而无需皮层反馈。关于粗糙、全局、低空间频率(LSF)是否通过视觉通路的快速大细胞(M)投射向高级皮层水平提供预测信息,从而实现对可能的物体身份的自上而下预测,存在争议。为了检验“快速M”假说,我们比较了在五种刺激条件下对命名目标的检测:未改变的颜色、模糊的颜色、灰度、阈值化单色和LSF图片。图片以六张图片的快速序列视觉呈现(RSVP)序列呈现13 - 80毫秒。模糊、单色和LSF图片的检测准确性低于正常颜色或灰度图片。当目标在序列之后被命名时,除LSF外的所有图片类型在所有持续时间内的检测都高于随机水平。至关重要的是,当仅在序列之后给出名称时,性能下降,单色和LSF图片(但不是模糊图片)处于或接近随机水平。因此,没有预先信息时,单色和LSF图片很少被理解。结果仅为快速M假说提供了有限的支持,相反表明前馈处理能够在没有互补折返处理的情况下激活概念表征。

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Psychon Bull Rev. 2015 Apr;22(2):578-85. doi: 10.3758/s13423-014-0692-4.
2
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3
Is attention based on spatial contextual memory preferentially guided by low spatial frequency signals?基于空间上下文记忆的注意是否优先受到低空间频率信号的引导?
PLoS One. 2013 Jun 11;8(6):e65601. doi: 10.1371/journal.pone.0065601. Print 2013.
4
On using very high temporal frequencies to isolate magnocellular contributions to psychophysical tasks.利用极高的时间频率来分离心理物理任务中大细胞的贡献。
Neuropsychologia. 2013 Jul;51(8):1556-60. doi: 10.1016/j.neuropsychologia.2013.05.009. Epub 2013 May 20.
5
Low Spatial Frequency Bias in Schizophrenia is Not Face Specific: When the Integration of Coarse and Fine Information Fails.精神分裂症的低空间频率偏差并非针对面部:当粗略和精细信息的整合失败时。
Front Psychol. 2013 May 6;4:248. doi: 10.3389/fpsyg.2013.00248. eCollection 2013.
6
Do different 'magnocellular tasks' probe the same neural substrate?不同的“大细胞任务”是否探测到相同的神经基质?
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7
Contributions of low and high spatial frequency processing to impaired object recognition circuitry in schizophrenia.低空间和高空间频率处理对精神分裂症患者物体识别回路损伤的影响。
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8
Visual consciousness revisited: magnocellular and parvocellular contributions to conscious and nonconscious vision.重新审视视觉意识:大细胞和小细胞对意识和非意识视觉的贡献。
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9
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