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快速视觉分类的特点与局限

The characteristics and limits of rapid visual categorization.

作者信息

Fabre-Thorpe Michèle

机构信息

CNRS, Université Paul Sabatier, Centre de Recherche Cerveau et Cognition Toulouse, France.

出版信息

Front Psychol. 2011 Oct 3;2:243. doi: 10.3389/fpsyg.2011.00243. eCollection 2011.

Abstract

Visual categorization appears both effortless and virtually instantaneous. The study by Thorpe et al. (1996) was the first to estimate the processing time necessary to perform fast visual categorization of animals in briefly flashed (20 ms) natural photographs. They observed a large differential EEG activity between target and distracter correct trials that developed from 150 ms after stimulus onset, a value that was later shown to be even shorter in monkeys! With such strong processing time constraints, it was difficult to escape the conclusion that rapid visual categorization was relying on massively parallel, essentially feed-forward processing of visual information. Since 1996, we have conducted a large number of studies to determine the characteristics and limits of fast visual categorization. The present chapter will review some of the main results obtained. I will argue that rapid object categorizations in natural scenes can be done without focused attention and are most likely based on coarse and unconscious visual representations activated with the first available (magnocellular) visual information. Fast visual processing proved efficient for the categorization of large superordinate object or scene categories, but shows its limits when more detailed basic representations are required. The representations for basic objects (dogs, cars) or scenes (mountain or sea landscapes) need additional processing time to be activated. This finding is at odds with the widely accepted idea that such basic representations are at the entry level of the system. Interestingly, focused attention is still not required to perform these time consuming basic categorizations. Finally we will show that object and context processing can interact very early in an ascending wave of visual information processing. We will discuss how such data could result from our experience with a highly structured and predictable surrounding world that shaped neuronal visual selectivity.

摘要

视觉分类似乎既轻松又几乎瞬间完成。索普等人(1996年)的研究首次估算了在短暂闪现(20毫秒)的自然照片中对动物进行快速视觉分类所需的处理时间。他们观察到在目标和干扰物正确试验之间存在巨大的脑电图差异活动,该活动从刺激开始后150毫秒就已出现,后来在猴子身上发现这个时间更短!在如此严格的处理时间限制下,很难不得出这样的结论:快速视觉分类依赖于视觉信息的大规模并行、基本上是前馈式处理。自1996年以来,我们进行了大量研究以确定快速视觉分类的特征和局限性。本章将回顾一些主要研究成果。我将论证,在自然场景中快速的物体分类可以在无需集中注意力的情况下完成,并且很可能基于由最早可用的(大细胞)视觉信息激活的粗略且无意识的视觉表征。快速视觉处理在对大型上位物体或场景类别进行分类时被证明是有效的,但在需要更详细的基本表征时则显示出其局限性。基本物体(狗、汽车)或场景(山脉或海洋风景)的表征需要额外的处理时间才能被激活。这一发现与广泛接受的观点相悖,即此类基本表征处于系统的入门级别。有趣的是,进行这些耗时的基本分类仍然不需要集中注意力。最后,我们将表明物体和背景处理可以在视觉信息处理的上升波中很早就相互作用。我们将讨论这些数据如何源于我们对一个高度结构化且可预测的周围世界的体验,这种体验塑造了神经元的视觉选择性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a20/3184650/f9a4b8e0ab58/fpsyg-02-00243-g001.jpg

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