Synapses with short-term plasticity are optimal estimators of presynaptic membrane potentials.

Synapses with short-term plasticity are optimal estimators of presynaptic membrane potentials.
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DOI:
10.1038/nn.2640
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发表时间:
2010-10
影响因子:
25
通讯作者:
Lengyel, Mate
Lengyel, Mate
中科院分区:
医学1区
文献类型:
--
作者:
Pfister, Jean-Pascal;Dayan, Peter;Lengyel, Mate

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皮层神经元的体细胞膜电位的轨迹精确地反映了对其传入输入进行的计算。然而,这种神经元的尖峰是这种不断演变的信号的非常低维和离散的投影。我们探索了神经元的传出突触执行根据尖峰估计膜电位轨迹的关键计算步骤的可能性。我们发现,突触效能的短期变化可以被解释为实现这个轨迹的最佳估计。当突触前尖峰信号足够强烈以减少与估计相关的不确定性时,就会出现短期抑郁;短期易化反映了突触前神经元统计数据的结构特征,例如向上和向下状态。我们的分析提供了一个强大的统一帐户,但令人费解的,可塑性的形式。
The trajectory of the somatic membrane potential of a cortical neuron exactly reflects the computations performed on its afferent inputs. However, the spikes of such a neuron are a very low-dimensional and discrete projection of this continually evolving signal. We explored the possibility that the neuron’s efferent synapses perform the critical computational step of estimating the membrane potential trajectory from the spikes. We found that short-term changes in synaptic efficacy can be interpreted as implementing an optimal estimator of this trajectory. Short-term depression arose when presynaptic spiking was sufficiently intense as to reduce the uncertainty associated with the estimate; short-term facilitation reflected structural features of the statistics of the presynaptic neuron such as up and down states. Our analysis provides a unifying account of a powerful, but puzzling, form of plasticity.
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