The faithful copy neuron.
The faithful copy neuron.
复制标题
忠实的复制神经元。
DOI：
10.1007/s10827-011-0356-6
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发表时间：
2012
影响因子：
1.2
通讯作者：
Sirovich,Lawrence
中科院分区：
文献类型：
--
作者：
Sirovich,Lawrence
理论和实验证据的存在，在神经组织中的神经元的放电率忠实地遵循他们的输入刺激。这样的神经元示出以最小的耗散每尖峰提供他们的尖峰。这种最佳性能可能是通过使用局部电路来实现的，该局部电路调节电导以匹配输入电流，使得神经元在触发阈值附近操作。这导致了一种不寻常的神经元放电机制，即使用背景噪声来实现所需的放电率。这一框架是动态的，目前的审议适用于时变条件。它表明，解析显式的概率分布函数，它取决于一个无量纲参数，可以占一般时变条件下的峰间期统计。一个创新的分析基础上的非定常射击率拟合数据，以适当的概率分布函数。
Theoretical and experimental evidence is presented for the presence in nervous tissue of neurons whose firing rate faithfully follow their input stimulus. Such neurons are shown to deliver their spikes with minimum dissipation per spike. This optimal performance is likely accomplished by use of local circuitry that adjusts conductances to match input currents so that the neuron operates near the threshold for firing. This results in an unusual mechanism for neuronal firing that uses background noise to achieve the desired firing rate. This framework takes place dynamically, and the present deliberations apply under time varying conditions. It is shown that an analytically explicit probability distribution function, which depends on one dimensionless parameter, can account for the interspike interval statistics under general time varying conditions. An innovative analysis based on the unsteady firing rate fits data to the appropriate probability distribution function.