美国得克萨斯大学Attila Losonczy小组研究出沿CA3锥体神经元树突并行独立电压计算。该项研究成果发表在2026年7月16日出版的《科学》上。

通过对小鼠虚拟现实导航过程中CA3锥体神经元树突和体细胞的电压成像，该课题组人员发现树突乔木由多个独立的计算单元组成，这些计算单元可以根据行为条件动态地与体细胞活动耦合或分离。树突活动通过与躯体输出的条件耦合来塑造空间、奖励和环境的亚细胞表征。

此外，空间同步树突在陡波波纹中保持了它们的协调。这些发现表明，过去、现在和未来的表征在CA3锥体神经元的树突内共存，共同塑造了与行为相关的神经元编码。

研究人员表示，树突计算有助于皮质电路的信息处理。海马CA3在导航中起着核心作用，但CA3锥体神经元的树突如何在体内处理信息仍然很大程度上未知。

附：英文原文

Title: Parallel independent voltage computing along dendrites of CA3 pyramidal neurons

Author: Asako Noguchi, Satoshi Terada, George N. Zakka, Cliodhna O’Toole, Luke Reynolds, Michelle Ann Land, Balázs J. Rózsa, Franois St-Pierre, Attila Losonczy

Issue&Volume: 2026-07-16

Abstract: Dendritic computation contributes to information processing in cortical circuits. Hippocampal CA3 plays a central role in navigation, but how the dendrites of CA3 pyramidal neurons process information in vivo remains largely unknown. Using voltage imaging across dendrites and somata of CA3 pyramidal neurons during virtual reality–guided navigation in mice, we found that the dendritic arbor comprises multiple independent computational units that can dynamically couple to or dissociate from somatic activity, depending on behavioral conditions. Dendritic activity shapes subcellular representations of space, reward, and context through conditional coupling to the somatic output. Furthermore, spatially cotuned dendrites retain their coordination during sharp-wave ripples. These findings demonstrate that past, present, and future representations coexist within the dendritic arbor of CA3 pyramidal neurons, collectively shaping behaviorally relevant neuronal coding.

DOI: aeh9302

Source: https://www.science.org/doi/10.1126/science.aeh9302

期刊信息

Science：《科学》，创刊于1880年。隶属于美国科学促进会，最新IF：63.714

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