Modelling envelope and temporal fine structure components of frequency-following responses in rat inferior colliculus
Modelling envelope and temporal fine structure components of frequency-following responses in rat inferior colliculus
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DOI：
10.1007/s11431-016-9044-5
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发表时间：
2017-06
期刊：
影响因子：
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通讯作者：
Qian Wang;Liang Li
中科院分区：
文献类型：
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作者：
Qian Wang;Liang Li
在听觉感知研究中，强调了听觉包络和听觉时间精细结构（TFS）的二分法。已有研究表明，大鼠下丘的频率跟随反应（FFRs）可分为包络成分（FFREnv）和时间精细结构成分（FFRTFS）。然而，现有的FFR模型不能成功地分离FFREnv和FFRTFS。本研究旨在开发一种新的血流储备分数模型，通过结合现有两种血流储备分数模型的优点，同时添加下丘神经元的细胞特性，有效区分FFREenv和FFRTF。为了评估本模型的有效性，计算了大鼠下丘的模拟FFR和实验数据之间的相关性。对不同的模型参数进行测试，计算FFR，并选择预测值最高的参数建立理想的FFR模型。结果表明，新的FFR模型可以为实验获得的FFREenv和FFRTFS提供可靠的预测。
In studies of auditory perception, a dichotomy between envelope and temporal fine structure (TFS) has been emphasized. It has been shown that frequency-following responses (FFRs) in the rat inferior colliculus can be divided into the envelope component (FFREnv) and the temporal fine structure component (FFRTFS). However, the existing FFR models cannot successfully separate FFREnvand FFRTFS. This study was to develop a new FFR model to effectively distinguish FFREnvfrom FFRTFSby both combining the advantages of the two existing FFR models and simultaneously adding cellular properties of inferior colliculus neurons. To evaluate the validity of the present model, correlations between simulated FFRs and experimental data from the rat inferior colliculus were calculated. Different model parameters were tested, FFRs were calculated, and the parameters with highest prediction were chosen to establish an ideal FFR model. The results indicate that the new FFR model can provide reliable predictions for experimentally obtained FFREnvand FFRTFS.