Cropper Elizabeth C, Friedman Allyson K, Jing Jian, Perkins Matthew H, Weiss Klaudiusz R
Department of Neuroscience and Friedman Brain Institute, Mount Sinai School of Medicine, One Gustave L. Levy Place, New York, NY 10029, United States.
Department of Neuroscience and Friedman Brain Institute, Mount Sinai School of Medicine, One Gustave L. Levy Place, New York, NY 10029, United States.
Curr Opin Neurobiol. 2014 Dec;29:33-8. doi: 10.1016/j.conb.2014.04.011. Epub 2014 May 16.
It is becoming apparent that the activity of many neural networks is shaped by effects of endogenous neuromodulators. Modulators exert second messenger-mediated actions that persist. We consider how this may impact network function and its potential role in the induction of repetition priming (increased performance when behavior is repeated). When effects of modulators persist and modulatory substances are repeatedly released, their effects will accumulate (summate) and become more pronounced. If this enhances the ability of a network to generate a particular output, performance will improve. We review data that support this model, and consider its implications for task switching. This model predicts that priming of one type of network activity will negatively impact the rapid transition to an incompatible type.
越来越明显的是,许多神经网络的活动受到内源性神经调质的影响。神经调质发挥持续的第二信使介导的作用。我们思考这可能如何影响网络功能及其在重复启动(行为重复时表现提高)诱导中的潜在作用。当神经调质的作用持续且调节性物质反复释放时,它们的作用将累积(叠加)并变得更加显著。如果这增强了网络产生特定输出的能力,表现将会提高。我们回顾支持该模型的数据,并思考其对任务切换的影响。该模型预测,一种类型的网络活动启动将对快速转变为不兼容类型产生负面影响。