Institute for Biology, Humboldt-Universität zu Berlin, Berlin, Germany.
Epilepsy-Center Berlin-Brandenburg, Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Science. 2020 Jan 3;367(6473):83-87. doi: 10.1126/science.aax6239.
The active electrical properties of dendrites shape neuronal input and output and are fundamental to brain function. However, our knowledge of active dendrites has been almost entirely acquired from studies of rodents. In this work, we investigated the dendrites of layer 2 and 3 (L2/3) pyramidal neurons of the human cerebral cortex ex vivo. In these neurons, we discovered a class of calcium-mediated dendritic action potentials (dCaAPs) whose waveform and effects on neuronal output have not been previously described. In contrast to typical all-or-none action potentials, dCaAPs were graded; their amplitudes were maximal for threshold-level stimuli but dampened for stronger stimuli. These dCaAPs enabled the dendrites of individual human neocortical pyramidal neurons to classify linearly nonseparable inputs-a computation conventionally thought to require multilayered networks.
树突的主动电特性塑造了神经元的输入和输出,是大脑功能的基础。然而,我们对主动树突的了解几乎完全来自于对啮齿动物的研究。在这项工作中,我们对离体人脑皮层第 2 和第 3 层(L2/3)的锥体神经元的树突进行了研究。在这些神经元中,我们发现了一类钙介导的树突动作电位(dCaAPs),其波形和对神经元输出的影响以前没有描述过。与典型的全或无动作电位不同,dCaAPs 是分级的;对于阈下刺激,它们的幅度最大,但对于更强的刺激,幅度会减弱。这些 dCaAPs 使得单个人类新皮层锥体神经元的树突能够对线性不可分输入进行分类——这一计算通常被认为需要多层网络。