Regulation of neuronal input transformations by tunable dendritic inhibition

被引:306
作者
Lovett-Barron, Matthew [1 ]
Turi, Gergely F. [1 ]
Kaifosh, Patrick [1 ]
Lee, Peter H. [2 ]
Bolze, Frederic [3 ]
Sun, Xiao-Hua [3 ]
Nicoud, Jean-Francois [3 ]
Zemelman, Boris V. [4 ]
Sternson, Scott M. [2 ]
Losonczy, Attila [1 ]
机构
[1] Columbia Univ, Dept Neurosci, New York, NY 10027 USA
[2] Howard Hughes Med Inst, Ashburn, VA USA
[3] Univ Strasbourg, Lab Biophoton & Pharmacol, Ctr Natl Rech Sci, UMR 7213, Strasbourg, France
[4] Univ Texas Austin, Ctr Learning & Memory, Austin, TX 78712 USA
基金
加拿大自然科学与工程研究理事会;
关键词
CA1 PYRAMIDAL NEURONS; HIPPOCAMPAL INTERNEURONS; RAT HIPPOCAMPUS; GABAERGIC INTERNEURONS; PLACE CELLS; IN-VIVO; NETWORK; PLASTICITY; OSCILLATIONS; POTENTIALS;
D O I
10.1038/nn.3024
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Transforming synaptic input into action potential output is a fundamental function of neurons. The pattern of action potential output from principal cells of the mammalian hippocampus encodes spatial and nonspatial information, but the cellular and circuit mechanisms by which neurons transform their synaptic input into a given output are unknown. Using a combination of optical activation and cell type-specific pharmacogenetic silencing in vitro, we found that dendritic inhibition is the primary regulator of input-output transformations in mouse hippocampal CA1 pyramidal cells, and acts by gating the dendritic electrogenesis driving burst spiking. Dendrite-targeting interneurons are themselves modulated by interneurons targeting pyramidal cell somata, providing a synaptic substrate for tuning pyramidal cell output through interactions in the local inhibitory network. These results provide evidence for a division of labor in cortical circuits, where distinct computational functions are implemented by subtypes of local inhibitory neurons.
引用
收藏
页码:423 / U111
页数:11
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