神经科学
兴奋性突触后电位
簇
枝晶(数学)
额叶皮质
树枝状尖峰
感觉系统
运动皮层
计算机科学
学习规律
生物
心理学
人工智能
材料科学
抑制性突触后电位
刺激
人工神经网络
数学
几何学
复合材料
作者
Eduardo Maristany de las Casas,Kris Killmann,Moritz Drueke,Lukas Muenster,Christian Ebner,Robert N. S. Sachdev,Dieter Jaeger,Matthew E. Larkum
出处
期刊:
[Cold Spring Harbor Laboratory]
日期:2025-03-13
卷期号:392 (6798): eadx4358-eadx4358
被引量:7
标识
DOI:10.1101/2025.03.13.642781
摘要
Flexible learning relies on integrating sensory and contextual information to adjust behavioral output in different environments. The anterolateral motor cortex (ALM) is a frontal area critical for action selection in rodents. We found that inputs critical to decision-making converge on the apical tuft dendrites of layer 5b pyramidal neurons in ALM. We therefore investigated the role of these dendrites in a rule-switching paradigm. Activation of dendrite-inhibiting layer 1 interneurons impaired relearning, without affecting previously learned behavior. This inhibition profoundly suppressed global calcium activity in dendritic shafts but not local transients in spines, while additionally reducing burst firing. Moreover, excitatory synaptic inputs to tuft dendrites exhibited rule-dependent clustering. We conclude that dendritic calcium signaling is a key computational component of flexible learning.
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