Data-driven inference of network connectivity for modeling the dynamics of neural codes in the insect antennal lobe.
Data-driven inference of network connectivity for modeling the dynamics of neural codes in the insect antennal lobe.
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DOI：
10.3389/fncom.2014.00070
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发表时间：
2014
影响因子：
3.2
通讯作者：
Kutz JN
中科院分区：
文献类型：
--
作者：
Shlizerman E;Riffell JA;Kutz JN
触角叶（antennal lobe，AL）是昆虫的嗅觉加工中心，能够将刺激加工成不同的神经活动模式，称为嗅觉神经代码。为了模拟它们的动力学，我们从不同的气味驱动的AL中的投射神经元进行多通道记录。然后，我们推导出一个动态的神经网络的电生理数据。该网络由侧抑制性神经元和兴奋性神经元（建模为发射率单位），并能够产生独特的嗅觉神经代码的测试气味。为了构建网络，我们（1）为来自AL的神经记录设计一个投影，一个气味空间，它区分不同的气味轨迹（2）表征气味识别，即，决策的基础上的嗅觉信号和（3）推断的神经电路的布线，连接体的AL。我们表明，所构建的模型是一致的生物观察，如对比度增强和鲁棒性噪声。该研究提出了一种数据驱动的方法来回答一个关键的生物学问题，即确定侧抑制神经元如何连接到兴奋性神经元以允许强大的活动模式。
The antennal lobe (AL), olfactory processing center in insects, is able to process stimuli into distinct neural activity patterns, called olfactory neural codes. To model their dynamics we perform multichannel recordings from the projection neurons in the AL driven by different odorants. We then derive a dynamic neuronal network from the electrophysiological data. The network consists of lateral-inhibitory neurons and excitatory neurons (modeled as firing-rate units), and is capable of producing unique olfactory neural codes for the tested odorants. To construct the network, we (1) design a projection, an odor space, for the neural recording from the AL, which discriminates between distinct odorants trajectories (2) characterize scent recognition, i.e., decision-making based on olfactory signals and (3) infer the wiring of the neural circuit, the connectome of the AL. We show that the constructed model is consistent with biological observations, such as contrast enhancement and robustness to noise. The study suggests a data-driven approach to answer a key biological question in identifying how lateral inhibitory neurons can be wired to excitatory neurons to permit robust activity patterns.
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影响因子：
64.8
作者：
Bock, Davi D.;Lee, Wei-Chung Allen;Kerlin, Aaron M.;Andermann, Mark L.;Hood, Greg;Wetzel, Arthur W.;Yurgenson, Sergey;Soucy, Edward R.;Kim, Hyon Suk;Reid, R. Clay
通讯作者：
Reid, R. Clay
DOI：
10.1523/jneurosci.4145-12.2013
发表时间：
2013-03-27
期刊：
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子：
--
作者：
Bazhenov M;Huerta R;Smith BH
通讯作者：
Smith BH
影响因子：
16.2
作者：
Geiger, JRP;Lubke, J;Jonas, P
通讯作者：
Jonas, P
影响因子：
3.7
作者：
Chong, Kwok Ying;Capurro, Alberto;Pearce, Timothy Charles
通讯作者：
Pearce, Timothy Charles
影响因子：
3.5
作者：
CHRISTENSEN, TA;HILDEBRAND, JG
通讯作者：
HILDEBRAND, JG