Role of sensory input distribution and intrinsic connectivity in lateral amygdala during auditory fear conditioning: a computational study.

Role of sensory input distribution and intrinsic connectivity in lateral amygdala during auditory fear conditioning: a computational study.
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DOI:
10.1016/j.neuroscience.2012.08.030
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发表时间:
2012-11-08
期刊:
影响因子:
3.3
通讯作者:
Nair, S. S.
Nair, S. S.
中科院分区:
医学3区
文献类型:
--
作者:
Ball, J. M.;Hummos, A. M.;Nair, S. S.

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我们提出了一种新的降阶神经网络建模框架,其中包括增强的放电率模型和相应的基于突触钙的突触学习规则。具体来说,我们建议对Wilson-Cowan放电速率神经元模型进行增强,该模型允许在生物LA神经元中看到的完全尖峰频率适应,同时足够通用以适应其他尖峰频率模式。我们还报道了一种技术,将钙依赖的可塑性纳入网络突触中,使用回归方案将放电率与突触后钙联系起来。单细胞模型和突触学习方案共同构成了一个总体框架,用于开发采用生物真实突触学习的计算效率高的神经元网络。采用先前报道的基于生物物理电导的啮齿动物侧杏仁核(LA)神经网络模型验证了降阶建模框架,该模型模拟了巴甫洛夫条件反射和听觉恐惧消退的特征。然后,该框架被用于开发一个更大的LA网络模型,以研究音调和冲击分布以及内在连接在听觉恐惧学习中的作用。该模型提出了音调和冲击密度的组合,将提供音调响应和条件细胞比例的实验估计。此外,它还提供了一些见解,包括内在连接如何帮助在不直接接收音调和电击输入的细胞中分配感觉输入以产生条件反应,以及在恐惧学习过程中增强兴奋和抑制之间的平衡如何防止刺激泛化。
We propose a novel reduced order neuronal network modeling framework that includes an enhanced firing rate model and a corresponding synaptic calcium-based synaptic learning rule. Specifically, we propose enhancements to the Wilson-Cowan firing rate neuron model that permits full spike frequency adaptation seen in biological LA neurons, while being sufficiently general to accommodate other spike frequency patterns. We also report a technique to incorporate calcium-dependent plasticity in the synapses of the network using a regression scheme to link firing rate to postsynaptic calcium. Together, the single cell model and the synaptic learning scheme constitute a general framework to develop computationally efficient neuronal networks that employ biologically-realistic synaptic learning. The reduced order modeling framework was validated using a previously reported biophysical conductance-based neuronal network model of a rodent lateral amygdala (LA) that modeled features of Pavlovian conditioning and extinction of auditory fear. The framework was then used to develop a larger LA network model to investigate the roles of tone and shock distributions and of intrinsic connectivity in auditory fear learning. The model suggested combinations of tone and shock densities that would provide experimental estimates of tone responsive and conditioned cell proportions. Furthermore, it provided several insights including how intrinsic connectivity might help distribute sensory inputs to produce conditioned responses in cells that do not directly receive both tone and shock inputs, and how a balance between potentiation of excitation and inhibition prevents stimulus generalization during fear learning.
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