Cash S, Yuste R
Department of Biological Sciences, Columbia University, New York, New York 10027, USA.
J Neurosci. 1998 Jan 1;18(1):10-5. doi: 10.1523/JNEUROSCI.18-01-00010.1998.
The role of dendritic morphology in integration and processing of neuronal inputs is still unknown. Models based on passive cable theory suggest that dendrites serve to isolate synapses from one another. Because of decreases in driving force or resistance, two inputs onto the same dendrite would diminish their joint effect, resulting in sublinear summation. When on different dendrites, however, inputs would not interact and therefore would sum linearly. These predictions have not been rigorously tested experimentally. In addition, recent results indicate that dendrites have voltage-sensitive conductances and are not passive cables. To investigate input integration, we characterized the effects of dendritic morphology on the summation of subthreshold excitatory inputs on cultured hippocampal neurons with pyramidal morphologies. We used microiontophoresis of glutamate to systematically position inputs throughout the dendritic tree and tested the summation of two inputs by measuring their individual and joint effects. We find that summation was surprisingly linear regardless of input position. For small inputs, this linearity arose because no significant shunts or changes in driving force occurred and no voltage-dependent channels were opened. Larger inputs also added linearly, but this linearity was caused by balanced action of NMDA and IA potassium conductances. Therefore, active conductances can maintain, paradoxically, a linear input arithmetic. Furthermore, dendritic morphology does not interfere with this linearity, which may be essential for particular neuronal computations.
树突形态在神经元输入整合与处理中的作用仍不清楚。基于被动电缆理论的模型表明,树突的作用是使突触相互隔离。由于驱动力或电阻的降低,同一树突上的两个输入会减弱它们的联合效应,导致亚线性总和。然而,当位于不同树突上时,输入不会相互作用,因此会线性相加。这些预测尚未经过严格的实验验证。此外,最近的结果表明,树突具有电压敏感电导,并非被动电缆。为了研究输入整合,我们表征了树突形态对具有锥体形态的培养海马神经元阈下兴奋性输入总和的影响。我们使用谷氨酸微离子电泳在整个树突树中系统地定位输入,并通过测量它们的单独和联合效应来测试两个输入的总和。我们发现,无论输入位置如何,总和都出人意料地呈线性。对于小输入,这种线性是因为没有发生显著的分流或驱动力变化,并且没有打开电压依赖性通道。较大的输入也线性相加,但这种线性是由NMDA和IA钾电导的平衡作用引起的。因此,矛盾的是,主动电导可以维持线性输入算法。此外,树突形态不会干扰这种线性,这可能对特定的神经元计算至关重要。