Stochastic Ion Channel Gating in Dendritic Neurons: Morphology Dependence and Probabilistic Synaptic Activation of Dendritic Spikes

被引:61
作者
Cannon, Robert C. [1 ]
O'Donnell, Cian [2 ]
Nolan, Matthew F. [3 ]
机构
[1] Textensor Ltd, Edinburgh, Midlothian, Scotland
[2] Univ Edinburgh, Neuroinformat Doctoral Training Ctr, Edinburgh, Midlothian, Scotland
[3] Univ Edinburgh, Ctr Integrat Physiol, Edinburgh, Midlothian, Scotland
基金
英国生物技术与生命科学研究理事会; 英国工程与自然科学研究理事会;
关键词
ACTION-POTENTIALS; INTEGRATIVE PROPERTIES; CURRENT FLUCTUATIONS; PYRAMIDAL NEURONS; K+ CHANNELS; PROPAGATION; MEMBRANE; NOISE; SIMULATION; CONDUCTANCE;
D O I
10.1371/journal.pcbi.1000886
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Neuronal activity is mediated through changes in the probability of stochastic transitions between open and closed states of ion channels. While differences in morphology define neuronal cell types and may underlie neurological disorders, very little is known about influences of stochastic ion channel gating in neurons with complex morphology. We introduce and validate new computational tools that enable efficient generation and simulation of models containing stochastic ion channels distributed across dendritic and axonal membranes. Comparison of five morphologically distinct neuronal cell types reveals that when all simulated neurons contain identical densities of stochastic ion channels, the amplitude of stochastic membrane potential fluctuations differs between cell types and depends on sub-cellular location. For typical neurons, the amplitude of membrane potential fluctuations depends on channel kinetics as well as open probability. Using a detailed model of a hippocampal CA1 pyramidal neuron, we show that when intrinsic ion channels gate stochastically, the probability of initiation of dendritic or somatic spikes by dendritic synaptic input varies continuously between zero and one, whereas when ion channels gate deterministically, the probability is either zero or one. At physiological firing rates, stochastic gating of dendritic ion channels almost completely accounts for probabilistic somatic and dendritic spikes generated by the fully stochastic model. These results suggest that the consequences of stochastic ion channel gating differ globally between neuronal cell-types and locally between neuronal compartments. Whereas dendritic neurons are often assumed to behave deterministically, our simulations suggest that a direct consequence of stochastic gating of intrinsic ion channels is that spike output may instead be a probabilistic function of patterns of synaptic input to dendrites.
引用
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页数:18
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