人类杏仁核和海马体中物体表征和记忆的神经元代码

IF 15.7 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Runnan Cao, Peter Brunner, Puneeth N. Chakravarthula, Krista L. Wahlstrom, Cory Inman, Elliot H. Smith, Xin Li, Adam N. Mamelak, Nicholas J. Brandmeir, Ueli Rutishauser, Jon T. Willie, Shuo Wang
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引用次数: 0

摘要

大脑如何编码、识别和记忆一般的视觉对象是神经科学的一个基本问题。在这里,我们通过记录人类杏仁核和海马体中的3173个单个神经元,在四个实验中研究了视觉物体感知和记忆的神经过程。我们采用了被动观看和识别记忆任务,包括各种自然物体刺激。我们的发现揭示了一般对象的基于区域的特征代码,其中神经元在高级视觉特征空间中表现出接受野。该代码可以通过独立的新刺激进行验证,并在所有实验中复制,包括基于固定的大型自然场景分析。该区域编码解释了长期存在的视觉类别选择性,优先增强对编码刺激的记忆,预测记忆性能,编码图像记忆,并表现出与记忆环境复杂的相互作用。总之,基于区域的特征编码为人类大脑的视觉对象处理提供了一个重要的机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A neuronal code for object representation and memory in the human amygdala and hippocampus

A neuronal code for object representation and memory in the human amygdala and hippocampus

How the brain encodes, recognizes, and memorizes general visual objects is a fundamental question in neuroscience. Here, we investigated the neural processes underlying visual object perception and memory by recording from 3173 single neurons in the human amygdala and hippocampus across four experiments. We employed both passive-viewing and recognition memory tasks involving a diverse range of naturalistic object stimuli. Our findings reveal a region-based feature code for general objects, where neurons exhibit receptive fields in the high-level visual feature space. This code can be validated by independent new stimuli and replicated across all experiments, including fixation-based analyses with large natural scenes. This region code explains the long-standing visual category selectivity, preferentially enhances memory of encoded stimuli, predicts memory performance, encodes image memorability, and exhibits intricate interplay with memory contexts. Together, region-based feature coding provides an important mechanism for visual object processing in the human brain.

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来源期刊
Nature Communications
Nature Communications Biological Science Disciplines-
CiteScore
24.90
自引率
2.40%
发文量
6928
审稿时长
3.7 months
期刊介绍: Nature Communications, an open-access journal, publishes high-quality research spanning all areas of the natural sciences. Papers featured in the journal showcase significant advances relevant to specialists in each respective field. With a 2-year impact factor of 16.6 (2022) and a median time of 8 days from submission to the first editorial decision, Nature Communications is committed to rapid dissemination of research findings. As a multidisciplinary journal, it welcomes contributions from biological, health, physical, chemical, Earth, social, mathematical, applied, and engineering sciences, aiming to highlight important breakthroughs within each domain.
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