Visual continuous recognition reveals behavioral and neural differences for short- and long-term scene memory.
Visual continuous recognition reveals behavioral and neural differences for short- and long-term scene memory.
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DOI：
10.3389/fnbeh.2022.958609
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发表时间：
2022
影响因子：
3
通讯作者：
中科院分区：
文献类型：
--
作者：
人类对复杂场景有着惊人的高容量和长时间的记忆。以前的研究文件的神经基板，允许有效的分类场景从其他复杂的刺激，如物体和面孔，但时空神经动力学场景记忆相关的工作和长期记忆的时间尺度是不太好理解。在本研究中，我们使用高密度脑电图在视觉连续识别任务中，新的，旧的，和混乱的场景组成的彩色户外照片，平均速率为0.26赫兹。旧场景是在短期（< 20 s）或30 s和3 min或4和10 min之间的较长时间间隔内发生的单一重复呈现。总体识别率远远高于偶然性，在较短时间间隔内的表现优于较长时间间隔。事件相关电位（ERPs）的传感器水平方差分析和事后成对比较显示了三个主要结果：（1）枕叶和顶叶波幅区分新、旧场景和混杂场景：（2）额叶波幅区分新、旧场景，与未命中、错误报警和正确拒绝相比，命中的正性最高;以及（3）额叶和顶叶在300 - 600 ms之间的变化，区分了以前在短期和长期保留间隔中遇到的旧场景。这些发现揭示了分布式时空神经变化如何演变，以支持复杂场景的短期和长期识别。
Humans have a remarkably high capacity and long duration memory for complex scenes. Previous research documents the neural substrates that allow for efficient categorization of scenes from other complex stimuli like objects and faces, but the spatiotemporal neural dynamics underlying scene memory at timescales relevant to working and longer-term memory are less well understood. In the present study, we used high density EEG during a visual continuous recognition task in which new, old, and scrambled scenes consisting of color outdoor photographs were presented at an average rate 0.26 Hz. Old scenes were single repeated presentations occurring within either a short-term (< 20 s) or longer-term intervals of between 30 s and 3 min or 4 and 10 min. Overall recognition was far above chance, with better performance at shorter- than longer-term intervals. Sensor-level ANOVA and post hoc pairwise comparisons of event related potentials (ERPs) revealed three main findings: (1) occipital and parietal amplitudes distinguishing new and old from scrambled scenes; (2) frontal amplitudes distinguishing old from new scenes with a central positivity highest for hits compared to misses, false alarms and correct rejections; and (3) frontal and parietal changes from ∼300 to ∼600 ms distinguishing among old scenes previously encountered at short- and longer-term retention intervals. These findings reveal how distributed spatiotemporal neural changes evolve to support short- and longer-term recognition of complex scenes.
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影响因子：
1.7
作者：
BROWN, J
通讯作者：
BROWN, J
影响因子：
25
作者：
Rousselet, GA;Fabre-Thorpe, M;Thorpe, SJ
通讯作者：
Thorpe, SJ
DOI：
10.1016/j.cogbrainres.2003.09.006
发表时间：
2004-01-01
期刊：
COGNITIVE BRAIN RESEARCH
影响因子：
--
作者：
Curran, T;Friedman, WJ
通讯作者：
Friedman, WJ
影响因子：
5.3
作者：
Park, Soojin;Brady, Timothy F.;Oliva, Aude
通讯作者：
Oliva, Aude
影响因子：
2.6
作者：
De Cesarei, A;Codispoti, M;Stegagno, L
通讯作者：
Stegagno, L