Predicting spike timing of neocortical pyramidal neurons by simple threshold models
Predicting spike timing of neocortical pyramidal neurons by simple threshold models
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DOI：
10.1007/s10827-006-7074-5
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发表时间：
2006-08-01
影响因子：
1.2
通讯作者：
Gerstner, Wulfram
中科院分区：
文献类型：
--
作者：
Jolivet, Renaud;Rauch, Alexander;Gerstner, Wulfram
如果神经元受到波动电流的驱动，它会以毫秒级的精度可靠地产生尖峰，那么在知道输入的情况下，是否有可能预测尖峰的时间呢？我们确定了适应阈值模型的参数，使用的数据记录在体外从24层5锥体神经元从大鼠体感皮层，刺激细胞内的波动电流模拟突触轰击在体内。每当膜电压（输入电流的滤波版本）达到动态阈值时，该模型就会生成输出尖峰。我们发现，对于具有大的波动幅度的输入电流，高达75%的尖峰时间可以预测的精度为+/- 2毫秒。一些内在的神经元的不可靠性可以占一个嘈杂的阈值机制。我们的研究结果表明，根据随机电流注入到索马，（i）在阈下政权的神经元行为可以很好地近似由一个简单的线性滤波器;和（ii）大部分的非线性捕获一个简单的阈值过程。
Neurons generate spikes reliably with millisecond precision if driven by a fluctuating current-is it then possible to predict the spike timing knowing the input? We determined parameters of an adapting threshold model using data recorded in vitro from 24 layer 5 pyramidal neurons from rat somatosensory cortex, stimulated intracellularly by a fluctuating current simulating synaptic bombardment in vivo. The model generates output spikes whenever the membrane voltage (a filtered version of the input current) reaches a dynamic threshold. We find that for input currents with large fluctuation amplitude, up to 75% of the spike times can be predicted with a precision of +/- 2 ms. Some of the intrinsic neuronal unreliability can be accounted for by a noisy threshold mechanism. Our results suggest that, under random current injection into the soma, (i) neuronal behavior in the subthreshold regime can be well approximated by a simple linear filter; and (ii) most of the nonlinearities are captured by a simple threshold process.