Department of Neurobiology, University of Chicago, Chicago, IL 60615, United States.
Hear Res. 2011 Apr;274(1-2):85-94. doi: 10.1016/j.heares.2010.05.008. Epub 2010 May 26.
Cat auditory cortex (AC) receives input from many thalamic nuclei and cortical areas. Previous connectional studies often focused on one connectional system in isolation, limiting perspectives on AC computational processes. Here we review the convergent thalamic, commissural, and corticocortical projections to thirteen AC areas in the cat. Each input differs in strength and may thus serve unique roles. We compared the convergent intrinsic and extrinsic input to each area quantitatively. The intrinsic input was almost half the total. Among extrinsic projections, ipsilateral cortical sources contributed 75%, thalamic input contributed 15%, and contralateral sources contributed 10%. The patterns of distribution support the division of AC areas into families of tonotopic, non-tonotopic, multisensory, and limbic-related areas, each with convergent input arising primarily from within its group. The connections within these areal families suggest a form of processing in which convergence of input to an area could enable new forms of integration. In contrast, the lateral connections between families could subserve integration between categorical representations, allowing otherwise independent streams to communicate and thereby coordinating operations over wide spatial and functional scales. These patterns of serial and interfamilial cooperation challenge more classical models of organization that underestimate the diversity and complexity of AC connectivity.
猫的听觉皮层 (AC) 接收来自许多丘脑核和皮层区域的输入。以前的连接研究通常集中在一个孤立的连接系统上,限制了对 AC 计算过程的看法。在这里,我们回顾了十三种猫的 AC 区域的会聚丘脑、连合和皮质皮质投射。每个输入的强度不同,因此可能具有独特的作用。我们定量比较了每个区域的会聚内在和外在输入。内在输入几乎是总输入的一半。在外部投射中,同侧皮质来源贡献了 75%,丘脑输入贡献了 15%,对侧来源贡献了 10%。分布模式支持将 AC 区域分为音系、非音系、多感官和边缘相关区域的家族,每个家族都有主要来自其自身的会聚输入。这些区域家族内的连接表明了一种处理方式,其中对一个区域的输入的会聚可能能够实现新的集成形式。相比之下,家族之间的侧向连接可以为类别表示之间的集成提供服务,从而允许独立的流进行通信,并协调在广泛的空间和功能尺度上的操作。这些串行和家族间合作的模式挑战了低估 AC 连接多样性和复杂性的更经典的组织模型。