A computational model of rapid task-related plasticity of auditory cortical receptive fields.
A computational model of rapid task-related plasticity of auditory cortical receptive fields.
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DOI：
10.1007/s10827-009-0181-3
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发表时间：
2010-02
影响因子：
1.2
通讯作者：
Shamma S
中科院分区：
文献类型：
--
作者：
Mesgarani N;Fritz J;Shamma S
A1 神经元的感受野特性可以在任务执行过程中根据特定的任务需求和显着的感觉线索快速调整其形状（Fritz 等人, Hearing Research, 206:159–176, 2005a, Nature Neuroscience, 6:1216–1223, 2003）。这种调制变化选择性地增强了对目标（前景）声音的整体皮质响应，从而增加了针对参考声音背景进行检测的可能性。在这项研究中，我们开发了一个数学模型来描述增强任意两类声音之间的辨别力如何导致在各种频谱和时间辨别任务中观察到的感受野变化。皮质感受野被建模为滤波器，改变其频谱-时间调谐特性，以便最好地响应前景和背景刺激之间的区别性声学特征。我们还说明了如何使用对感受野的光谱时间调整的生物学上合理的限制来优化可塑性。将模型模拟的结果与各种实验范例的已发布数据进行比较。
Receptive field properties of neurons in A1 can rapidly adapt their shapes during task performance in accord with specific task demands and salient sensory cues (Fritz et al., Hearing Research, 206:159–176, 2005a, Nature Neuroscience, 6: 1216–1223, 2003). Such modulatory changes selectively enhance overall cortical responsiveness to target (foreground) sounds and thus increase the likelihood of detection against the background of reference sounds. In this study, we develop a mathematical model to describe how enhancing discrimination between two arbitrary classes of sounds can lead to the observed receptive field changes in a variety of spectral and temporal discrimination tasks. Cortical receptive fields are modeled as filters that change their spectro-temporal tuning properties so as to respond best to the discriminatory acoustic features between foreground and background stimuli. We also illustrate how biologically plausible constraints on the spectro-temporal tuning of the receptive fields can be used to optimize the plasticity. Results of the model simulations are compared to published data from a variety of experimental paradigms.
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