Shanghai Key Laboratory of Brain Functional Genomics, Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai 200062, China.
Phylo-Cognition Laboratory, Division of Natural and Applied Sciences, Duke Kunshan University, Duke Institute for Brain Sciences, Kunshan 215316, Jiangsu, China.
J Neurosci. 2024 Jan 17;44(3):e1677232023. doi: 10.1523/JNEUROSCI.1677-23.2023.
The dorsomedial posterior parietal cortex (dmPPC) is part of a higher-cognition network implicated in elaborate processes underpinning memory formation, recollection, episode reconstruction, and temporal information processing. Neural coding for complex episodic processing is however under-documented. Here, we recorded extracellular neural activities from three male rhesus macaques () and revealed a set of neural codes of "neuroethogram" in the primate parietal cortex. Analyzing neural responses in macaque dmPPC to naturalistic videos, we discovered several groups of neurons that are sensitive to different categories of ethogram items, low-level sensory features, and saccadic eye movement. We also discovered that the processing of category and feature information by these neurons is sustained by the accumulation of temporal information over a long timescale of up to 30 s, corroborating its reported long temporal receptive windows. We performed an additional behavioral experiment with additional two male rhesus macaques and found that saccade-related activities could not account for the mixed neuronal responses elicited by the video stimuli. We further observed monkeys' scan paths and gaze consistency are modulated by video content. Taken altogether, these neural findings explain how dmPPC weaves fabrics of ongoing experiences together in real time. The high dimensionality of neural representations should motivate us to shift the focus of attention from pure selectivity neurons to mixed selectivity neurons, especially in increasingly complex naturalistic task designs.
背内侧后顶叶皮层(dmPPC)是一个高级认知网络的一部分,该网络参与了记忆形成、回忆、情节重构和时间信息处理等复杂过程的基础。然而,复杂情节处理的神经编码仍未得到充分记录。在这里,我们从三只雄性恒河猴(Macaca mulatta)中记录了细胞外神经活动,并揭示了灵长类动物顶叶皮层中的“神经行为图”的一组神经编码。分析恒河猴 dmPPC 对自然视频的神经反应,我们发现了几组对不同类别的行为图项、低级感觉特征和眼跳运动敏感的神经元。我们还发现,这些神经元对类和特征信息的处理是通过在长达 30 秒的长时间尺度上积累时间信息来维持的,这证实了其报道的长时间感受窗。我们还与另外两只雄性恒河猴进行了额外的行为实验,发现眼跳相关活动不能解释视频刺激引起的混合神经元反应。我们进一步观察到猴子的扫描路径和注视一致性受到视频内容的调节。总的来说,这些神经发现解释了 dmPPC 如何实时将正在进行的经验编织在一起。神经表示的高维性应该促使我们将注意力从纯选择性神经元转移到混合选择性神经元,特别是在越来越复杂的自然任务设计中。