Burst Firing Enhances Neural Output Correlation.
Burst Firing Enhances Neural Output Correlation.
复制标题
DOI：
10.3389/fncom.2016.00042
复制
发表时间：
2016
影响因子：
3.2
通讯作者：
Nowotny T
中科院分区：
文献类型：
--
作者：
Chan HK;Yang DP;Zhou C;Nowotny T
神经元主要通过尖峰信号进行通信和传输信息。鉴于实验观察到的各种大脑区域中的神经尖峰序列可以高度相关，研究神经元如何处理相关输入是很重要的。在这一领域的大多数以前的工作研究了相关性转移问题的分析作出显着的简化神经动力学。例如，当假设一个输入尖峰最多可以产生一个输出尖峰时，由突触滤波引起的输入之间的时间相关性常常被忽略。通过对一对接收相关输入的泄漏积分和发射（LIF）神经元的数值模拟，我们证明了在慢突触过滤的存在下，神经元表现出很强的输出相关性。然后，我们表明，突发放电在增强输出相关性中起着核心作用，这可以解释上述观察，因为突触过滤诱导突发。观测到的相关性变化大多是在长时间尺度上的。我们的研究结果表明，影响生物神经元中神经爆发放电流行的其他特征，例如，自适应尖峰机制在调节神经网络中的整体相关性水平中可能发挥重要作用。
Neurons communicate and transmit information predominantly through spikes. Given that experimentally observed neural spike trains in a variety of brain areas can be highly correlated, it is important to investigate how neurons process correlated inputs. Most previous work in this area studied the problem of correlation transfer analytically by making significant simplifications on neural dynamics. Temporal correlation between inputs that arises from synaptic filtering, for instance, is often ignored when assuming that an input spike can at most generate one output spike. Through numerical simulations of a pair of leaky integrate-and-fire (LIF) neurons receiving correlated inputs, we demonstrate that neurons in the presence of synaptic filtering by slow synapses exhibit strong output correlations. We then show that burst firing plays a central role in enhancing output correlations, which can explain the above-mentioned observation because synaptic filtering induces bursting. The observed changes of correlations are mostly on a long time scale. Our results suggest that other features affecting the prevalence of neural burst firing in biological neurons, e.g., adaptive spiking mechanisms, may play an important role in modulating the overall level of correlations in neural networks.