Synaptic Transmission Optimization Predicts Expression Loci of Long-Term Plasticity.
Synaptic Transmission Optimization Predicts Expression Loci of Long-Term Plasticity.
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DOI：
10.1016/j.neuron.2017.09.021
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发表时间：
2017-09-27
期刊：
影响因子：
16.2
通讯作者：
Vogels TP
中科院分区：
文献类型：
--
作者：
Costa RP;Padamsey Z;D'Amour JA;Emptage NJ;Froemke RC;Vogels TP
神经元连接的长期改变对于大脑中可靠的记忆存储至关重要。然而，它们的表达轨迹--突触前或突触后--是高度可变的。在这里，我们介绍了一个理论框架，在这个框架中，长期可塑性以最小的方差对突触后反应统计数据进行了优化，使其接近给定的平均值。因此，可塑性诱导时突触的状态决定了突触前和突触后修饰的比例。我们的理论解释了实验观察到的海马区和我们检查的新皮质突触增强研究的表达位点。此外，该理论预测了长期抑郁的突触前表达，这与实验观察一致。在抑制性突触，该理论提出了一种统计上有效的兴奋-抑制平衡，在这种平衡中，抑制性突触后反应统计数据的变化专门针对平均兴奋。我们的结果为理解长时程突触传递可塑性的表达机制和功能提供了统一的理论。突触可塑性理论预测突触前和突触后的表达位点该框架捕获了不同实验和大脑区域的LTP和LTD数据由于优化突触后反应统计而导致的前后变化的变异性在抑制性突触上的优化表明数十年来在统计上最优的E/I平衡长期突触可塑性的表达位点的变异性一直是个谜。Costa等人。提出一种理论，认为这种变异性是突触后反应优化的结果，与广泛的实验观察一致。
Long-term modifications of neuronal connections are critical for reliable memory storage in the brain. However, their locus of expression—pre- or postsynaptic—is highly variable. Here we introduce a theoretical framework in which long-term plasticity performs an optimization of the postsynaptic response statistics toward a given mean with minimal variance. Consequently, the state of the synapse at the time of plasticity induction determines the ratio of pre- and postsynaptic modifications. Our theory explains the experimentally observed expression loci of the hippocampal and neocortical synaptic potentiation studies we examined. Moreover, the theory predicts presynaptic expression of long-term depression, consistent with experimental observations. At inhibitory synapses, the theory suggests a statistically efficient excitatory-inhibitory balance in which changes in inhibitory postsynaptic response statistics specifically target the mean excitation. Our results provide a unifying theory for understanding the expression mechanisms and functions of long-term synaptic transmission plasticity. A theory of synaptic plasticity that predicts pre- and postsynaptic expression loci The framework captures LTP and LTD data across different experiments and brain regions Variability of pre/post changes due to optimizing postsynaptic response statistics Optimization at inhibitory synapses suggests a statistically optimal E/I balance For decades the variability in expression loci of long-term synaptic plasticity has remained enigmatic. Costa et al. propose a theory in which this variability is a consequence of postsynaptic response optimization, consistent with a wide range of experimental observations.
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