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首页> 外文期刊>Neurocomputing >The neural model of nucleus laminaris and integration layer accomplishing hyperacuity in sound location in the barn owl
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The neural model of nucleus laminaris and integration layer accomplishing hyperacuity in sound location in the barn owl

机译:谷仓猫头鹰声音层中完成超敏性的核层和整合层的神经模型

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摘要

Rarn owl can detect the arrival time disparity of binaural input sound which is of the order of 10 mu s. We proposed that this hyperacuity for detection of the disparity is accomplished through a combination of two kinds of functional contributions. One comes from the functional structure of a neural unit for coincidence detection, and the other comes from a functional structure of a network constructed with the units. The network model of nucleus laminaris is made based on Jeffress' model. The hyperacuity has been achieved by positively including noises in the input signals.
机译:猫头鹰可以检测到双耳输入声音的到达时间差异,约为10μs。我们建议通过两种功能的组合来完成这种用于检测差异的超敏度。一种来自用于一致性检测的神经单元的功能结构,另一种来自由这些单元构成的网络的功能结构。基于Jeffress的模型,建立了椎板核的网络模型。通过在输入信号中积极包含噪声来实现超敏锐度。

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