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Molecular and Cellular Mechanisms Underlying Somatostatin-Based Signaling in Two Model Neural Networks the Retina and the Hippocampus

机译:在两个模型神经网络(视网膜和海马体)中基于生长抑素的信号传导的分子和细胞机制

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摘要

Neural inhibition plays a key role in determining the specific computational tasks of different brain circuitries. This functional “braking” activity is provided by inhibitory interneurons that use different neurochemicals for signaling. One of these substances, somatostatin, is found in several neural networks, raising questions about the significance of its widespread occurrence and usage. Here, we address this issue by analyzing the somatostatinergic system in two regions of the central nervous system: the retina and the hippocampus. By comparing the available information on these structures, we identify common motifs in the action of somatostatin that may explain its involvement in such diverse circuitries. The emerging concept is that somatostatin-based signaling, through conserved molecular and cellular mechanisms, allows neural networks to operate correctly.
机译:神经抑制在确定不同脑回路的特定计算任务中起关键作用。这种功能性的“制动”活性是由抑制性神经元提供的,该神经元使用不同的神经化学物质进行信号传导。生长激素抑制素是其中一种物质,存在于多个神经网络中,引发了人们对其广泛存在和使用的重要性的质疑。在这里,我们通过分析中枢神经系统两个区域(视网膜和海马体)的生长抑素能系统来解决这个问题。通过比较这些结构的可用信息,我们确定了生长抑素作用中的常见基序,这可能解释了其在如此多样的电路中的参与。新兴的概念是,通过保守的分子和细胞机制,基于生长抑素的信号传导可使神经网络正确运行。

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