A NETWORK MODEL OF CATECHOLAMINE EFFECTS - GAIN, SIGNAL-TO-NOISE RATIO, AND BEHAVIOR
A NETWORK MODEL OF CATECHOLAMINE EFFECTS - GAIN, SIGNAL-TO-NOISE RATIO, AND BEHAVIOR
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DOI：
10.1126/science.2392679
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发表时间：
1990-08-24
期刊：
影响因子：
56.9
通讯作者：
COHEN, JD
中科院分区：
文献类型：
--
作者：
SERVANSCHREIBER, D;PRINTZ, H;COHEN, JD
在单个神经元的水平上，儿茶酚胺的释放增加了细胞对兴奋性和抑制性输入的反应性。提出了一种神经元网络中的儿茶酚胺效应模型，该模型表明：（i）单个元件的响应度变化不会影响它们检测信号和忽略噪声的能力，但（ii）在这种元件的网络中细胞响应度的相同变化确实提高了网络作为一个整体的信号检测性能。第二个结果是在计算机模拟的基础上并行分布式处理的原则，以占中枢神经系统兴奋剂对人类受试者的信号检测性能的影响。
At the level of individual neurons, catecholamine release increases the responsivity of cells to excitatory and inhibitory inputs. A model of catecholamine effects in a network of neural-like elements is presented, which shows that (i) changes in the responsivity of individual elements do not affect their ability to detect a signal and ignore noise but (ii) the same changes in cell responsivity in a network of such elements do improve the signal detection performance of the network as a whole. The second result is used in a computer stimulation based on principles of parallel distributed processing to account for the effect of central nervous system stimulants on the signal detection performance of human subjects.