On how correlations between excitatory and inhibitory synaptic inputs maximize the information rate of neuronal firing.
On how correlations between excitatory and inhibitory synaptic inputs maximize the information rate of neuronal firing.
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DOI：
10.3389/fncom.2014.00059
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发表时间：
2014
影响因子：
3.2
通讯作者：
Galán RF
中科院分区：
文献类型：
--
作者：
Puzerey PA;Galán RF
皮层神经元接收大量的兴奋性和抑制性输入，这些输入不是独立的，因为网络结构和突触动力学具有统计相关性。在体外和体内的实验已经证明抑制性和兴奋性突触输入之间的相关性，其中抑制滞后于皮层神经元的兴奋。这种延迟出现在前馈抑制（FFI）电路中，并确保同时发生的兴奋和抑制不会妨碍神经元放电。相反，太延迟的抑制会延长神经元的整合时间，从而降低尖峰时间的精确度并增加放电频率。这使我们假设兴奋性和抑制性突触输入之间的相关性调节神经锋电位序列信息的编码。我们测试了这一假设，通过调查的信息率（IR）的尖峰列车使用霍奇金-赫胥黎模型，其中突触和膜电导是随机的这种相关性的影响。我们研究了两种不同的突触输入制度：平衡突触电导和平衡电流。我们的研究结果表明，相关性所产生的突触动力学，τ和毫秒滞后，δ，抑制相对于兴奋强烈影响的IR的尖峰序列。在突触电流平衡的状态下，对于短的时滞（δ ~ 1 ms），存在最佳τ，其使突触后锋电位序列的IR最大化。鉴于单突触抑制滞后和突触衰减动力学在皮层神经元在生理环境下报告的时间尺度短，我们建议，在皮层电路的FFI是准备最大限度地提高皮层神经元之间的信息传输速率。我们的研究结果还为某些药物和影响突触动力学的基因突变如何恶化大脑中的信息处理提供了可能的解释。
Cortical neurons receive barrages of excitatory and inhibitory inputs which are not independent, as network structure and synaptic kinetics impose statistical correlations. Experiments in vitro and in vivo have demonstrated correlations between inhibitory and excitatory synaptic inputs in which inhibition lags behind excitation in cortical neurons. This delay arises in feed-forward inhibition (FFI) circuits and ensures that coincident excitation and inhibition do not preclude neuronal firing. Conversely, inhibition that is too delayed broadens neuronal integration times, thereby diminishing spike-time precision and increasing the firing frequency. This led us to hypothesize that the correlation between excitatory and inhibitory synaptic inputs modulates the encoding of information of neural spike trains. We tested this hypothesis by investigating the effect of such correlations on the information rate (IR) of spike trains using the Hodgkin-Huxley model in which both synaptic and membrane conductances are stochastic. We investigated two different synaptic input regimes: balanced synaptic conductances and balanced currents. Our results show that correlations arising from the synaptic kinetics, τ, and millisecond lags, δ, of inhibition relative to excitation strongly affect the IR of spike trains. In the regime of balanced synaptic currents, for short time lags (δ ~ 1 ms) there is an optimal τ that maximizes the IR of the postsynaptic spike train. Given the short time scales for monosynaptic inhibitory lags and synaptic decay kinetics reported in cortical neurons under physiological contexts, we propose that FFI in cortical circuits is poised to maximize the rate of information transfer between cortical neurons. Our results also provide a possible explanation for how certain drugs and genetic mutations affecting the synaptic kinetics can deteriorate information processing in the brain.
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影响因子：
25
作者：
Cruikshank, Scott J.;Lewis, Timothy J.;Connors, Barry W.
通讯作者：
Connors, Barry W.
影响因子：
25
作者：
Mariño, J;Schummers, J;Sur, M
通讯作者：
Sur, M
影响因子：
25
作者：
Lee, Soohyun;Kruglikov, Illya;Huang, Z. Josh;Fishell, Gord;Rudy, Bernardo
通讯作者：
Rudy, Bernardo
影响因子：
5.3
作者：
Ince, Robin A. A.;Panzeri, Stefano;Kayser, Christoph
通讯作者：
Kayser, Christoph
影响因子：
2.5
作者：
Beierlein, M;Gibson, JR;Connors, BW
通讯作者：
Connors, BW