Neural model for physiological responses to frequency and amplitude transitions uncovers topographical order in the auditory cortex
Neural model for physiological responses to frequency and amplitude transitions uncovers topographical order in the auditory cortex
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DOI：
10.1152/jn.00654.2003
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发表时间：
2003-12-01
影响因子：
2.5
通讯作者：
Nelken, I
中科院分区：
文献类型：
--
作者：
Fishbach, A;Yeshurun, Y;Nelken, I
我们使用神经模型检测频率和振幅转换的主要听觉皮层（AI）单位的特点。该模型是用于检测幅度过渡的模型的推广。一组神经元，调谐在spectrotemporal域，创建通过神经延迟和频率滤波。该模型对频率和幅度转换的敏感性是通过将2维可旋转感受野应用于一组谱时调谐神经元来实现的。我们使用麻醉雪貂的AI中记录的数据来评估模型。我们表明，该模型是能够适应各种刺激，包括单音，延迟2音刺激和各种调频音的AI单位的反应，只使用少量的参数。此外，我们表明，地形图中的模型参数的顺序是高于从直接从任何单一刺激的反应提取的反应指数创建的地图。这些结果表明，一个简单的旋转spectrotemporal感受野在哺乳动物AI可能有序的组织。
We characterize primary auditory cortex (AI) units using a neural model for the detection of frequency and amplitude transitions. The model is a generalization of a model for the detection of amplitude transition. A set of neurons, tuned in the spectrotemporal domain, is created by means of neural delays and frequency filtering. The sensitivity of the model to frequency and amplitude transitions is achieved by applying a 2-dimensional rotatable receptive field to the set of spectrotemporally tuned neurons. We evaluated the model using data recorded in AI of anesthetized ferrets. We show that the model is able to fit the responses of AI units to variety of stimuli, including single tones, delayed 2-tone stimuli and various frequency-modulated tones, using only a small number of parameters. Furthermore, we show that the topographical order in maps of the model parameters is higher than in maps created from response indices extracted directly from the responses to any single stimulus. These results suggest a possible ordered organization of a simple rotatable spectrotemporal receptive field in the mammalian AI.