Closed-loop neuronal computations: Focus on vibrissa somatosensation in rat
Closed-loop neuronal computations: Focus on vibrissa somatosensation in rat
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DOI：
10.1093/cercor/13.1.53
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发表时间：
2003-01-01
期刊：
影响因子：
3.7
通讯作者：
Kleinfeld, D
中科院分区：
文献类型：
--
作者：
Ahissar, E;Kleinfeld, D
两类神经元架构在正在进行的关于神经系统计算性质的辩论中占主导地位。第一个是一个主要的前馈架构，其中每个处理阶段内的神经元之间的局部相互作用与该阶段的输入驱动相比起着较小的影响作用。第二类是递归网络架构，其中相邻神经元之间的局部相互作用主导神经元活动的动态，使得输入仅用于偏置或播种网络的状态。然而，对感觉运动网络的研究突出了第三类结构，这类结构既不是前馈的，也不是局部递归的，计算依赖于大规模的反馈回路。从我们的实验室和我们的同事的研究结果表明，触须感觉运动系统参与了这种闭环计算。特别是，从触须感觉和运动区的单单位响应显示在丘脑皮质和皮质回路的水平上的相敏检测和控制的通用签名。这些回路很可能是一个更大的闭环触须感觉运动系统内的组件，它优化了感觉处理。
Two classes of neuronal architectures dominate in the ongoing debate on the nature of computing by nervous systems. The first is a predominantly feedforward architecture, in which local interactions among neurons within each processing stage play a less influential role compared with the drive of the input to that stage. The second class is a recurrent network architecture, in which the local interactions among neighboring neurons dominate the dynamics of neuronal activity so that the input acts only to bias or seed the state of the network. The study of sensorimotor networks, however, serves to highlight a third class of architectures, which is neither feedforward nor locally recurrent and where computations depend on large-scale feedback loops. Findings that have emerged from our laboratories and those of our colleagues suggest that the vibrissa sensorimotor system is involved in such closed-loop computations. In particular, single unit responses from vibrissa sensory and motor areas show generic signatures of phase-sensitive detection and control at the level of thalamocortical and corticocortical loops. These loops are likely to be components within a greater closed-loop vibrissa sensorimotor system, which optimizes sensory processing.