BINAURAL RESPONSE-SPECIFIC BANDS IN PRIMARY AUDITORY-CORTEX (AI) OF THE CAT - TOPOGRAPHICAL ORGANIZATION ORTHOGONAL TO ISOFREQUENCY CONTOURS
BINAURAL RESPONSE-SPECIFIC BANDS IN PRIMARY AUDITORY-CORTEX (AI) OF THE CAT - TOPOGRAPHICAL ORGANIZATION ORTHOGONAL TO ISOFREQUENCY CONTOURS
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DOI：
10.1016/0006-8993(80)91257-3
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发表时间：
1980-01-01
期刊：
影响因子：
2.9
通讯作者：
MERZENICH, MM
中科院分区：
文献类型：
--
作者：
MIDDLEBROOKS, JC;DYKES, RW;MERZENICH, MM
在猫的初级听觉皮层（AI）的3个维度内的空间分布与不同的双耳响应特性的神经元进行了研究。使用双耳分听刺激，92%的神经元遇到可以分为兴奋/兴奋（EE）或兴奋/抑制（EI）的相互作用类。在几乎所有的近800个渗透介绍沿着径向轴，所有神经元遇到沿着一个给定的渗透是相同的双耳响应类。不同的双耳交互类的神经元在空间上分离的平面内的皮层。平行于等距轮廓的电极穿透穿过皮质的中间层穿过AI的内外侧范围。在这些穿透中观察到双耳响应类的单位的急剧分离，即，全部为EE类的神经元序列与EI神经元序列交替。对双耳刺激的均匀反应区域形成放射状组织的地形亚单位，这些亚单位沿AI的吻尾向沿着伸长。这些双耳交互带与耳蜗感觉上皮的再表示线（isoblasticcontours）相交，并创建AI的细分，每个细分包含整个可听频域的表示。这些结果的概念，AI作为一个单一的元素在听觉处理的影响进行了讨论。
The spatial distribution of neurons with different binaural response properties was studied within the 3 dimensions of the primary auditory cortex (AI) in the cat. Using dichotic stimulation, 92% of neurons encountered could be classified into either the excitatory/excitatory (EE) or excitatory/inhibitory (EI) interaction class. In nearly all of almost 800 penetrations introduced along radial axes, all neurons encountered along a given penetration were of the same binaural response class. Neurons of different binaural interaction classes were spatially segregated within the plane of the cortex. Electrode penetrations made parallel of isofrequency contours traversed the mediolateral extent of AI through the middle layers of the cortex. A sharp segregation of units by binaural response class was observed in these penetrations, i.e., sequences of neurons that were all of the EE class alternated with sequences of EI neurons. The regions of uniform response to binaural stimulation formed radially organized topographical subunits that were elongated along the rostrocaudal dimension of AI. These binaural interaction bands intersect the lines of re-representation of the cochlear sensory epithelium (isofrequency contours) and create subdivisions of AI that each contain a representation of the entire audible frequency domain. The implications of these results for the concept of AI as a unitary element in auditory processing are discussed.