Haalman I, Vaadia E
Department of Physiology, Hadassah Medical School, Jerusalem, Israel.
Z Naturforsch C J Biosci. 1998 Jul-Aug;53(7-8):657-69. doi: 10.1515/znc-1998-7-818.
This paper explores if dynamic modulation of coherent firing serves cortical functions. We recorded neuronal activity in the frontal cortex of behaving monkeys and found that temporal coincidences of spikes firing of different neurons can emerge within a fraction of a second in relation to the animal behavior. The temporal patterns of the correlation could not be predicted from the modulations of the neurons firing rate and finally, the patterns of correlation depend on the distance between neurons. These findings call for a revision of prevailing models of neural coding that solely rely on firing rates. The findings suggest that modification of neuronal interactions can serve as a mechanism by which neurons associate rapidly into a functional group in order to perform a specific computational task. Increased correlation between members of the groups, and decreased or negative correlation with others, enhance the ability to dissociate one group from concurrently activated competing groups. Such modulation of neuronal interactions allows each neuron to become a member of several different groups and participate in different computational tasks.
本文探讨了相干放电的动态调制是否服务于皮层功能。我们记录了行为猴子额叶皮层的神经元活动,发现不同神经元的放电时间巧合能在与动物行为相关的几分之一秒内出现。相关性的时间模式无法从神经元放电率的调制中预测出来,并且最终,相关性模式取决于神经元之间的距离。这些发现要求对仅依赖放电率的主流神经编码模型进行修正。这些发现表明,神经元相互作用的改变可作为一种机制,通过该机制神经元能迅速联合成一个功能组以执行特定的计算任务。组内成员之间相关性增加,而与其他组的相关性降低或呈负相关,增强了将一个组与同时激活的竞争组区分开来的能力。这种神经元相互作用的调制使每个神经元能够成为几个不同组的成员并参与不同的计算任务。