MEASURING THE IMPACT OF PROBABILISTIC TRANSMISSION ON NEURONAL OUTPUT
MEASURING THE IMPACT OF PROBABILISTIC TRANSMISSION ON NEURONAL OUTPUT
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DOI：
10.1016/0896-6273(93)90058-y
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发表时间：
1993-06-01
期刊：
影响因子：
16.2
通讯作者：
MALINOW, R
中科院分区：
文献类型：
--
作者：
OTMAKHOV, N;SHIRKE, AM;MALINOW, R
我们研究了随机传输对海马切片神经元输入输出关系的影响。激发细胞的突触输入在振幅上具有显着的试验间变异性，反映了递质的概率释放。通过测量微型兴奋性突触后电流，我们估计几个囊泡的同步释放可以激发 CA1 细胞。放电阈值和变异性可以进行生理调节。不同的细胞类型具有不同的放电阈值和变异性。长时程增强 (LTP) 降低了试验间的变异性。如果在 LTP 之后，刺激减少以产生阈值响应，则变异性将恢复到 LTP 之前观察到的水平。因此，对于阈值输入，试验间的变异性通过 LTP 得以维持。这对于可塑神经系统的正常运作可能很重要。
We have investigated the impact of stochastic transmission on the input-output relations of neurons in hippocampal slices. A synaptic input that fires a cell has a significant trial-to-trial variability in amplitude, reflecting the probabilistic release of transmitter. By measuring miniature excitatory postsynaptic currents, we estimate that synchronous release of a few vesicles can fire a CA1 cell. The firing threshold and variability can be physiologically modulated. Different cell types have distinct firing thresholds and variabilities. Long-term potentiation (LTP) decreases trial-to-trial variability. If after LTP, the stimulus is reduced to produce a threshold response, the variability returns to that observed before LTP. Thus, for a threshold input, the trial-to-trial variability is maintained with LTP. This may be important for the proper functioning of a plastic nervous system.