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神经元活动中时空模式的出现。

Emergence of spatio-temporal patterns in neuronal activity.

作者信息

Haalman I, Vaadia E

机构信息

Department of Physiology, Hadassah Medical School, Jerusalem, Israel.

出版信息

Z Naturforsch C J Biosci. 1998 Jul-Aug;53(7-8):657-69. doi: 10.1515/znc-1998-7-818.

DOI:10.1515/znc-1998-7-818
PMID:9755517
Abstract

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.

摘要

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。

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1
Emergence of spatio-temporal patterns in neuronal activity.神经元活动中时空模式的出现。
Z Naturforsch C J Biosci. 1998 Jul-Aug;53(7-8):657-69. doi: 10.1515/znc-1998-7-818.
2
Dynamics of neuronal interactions in monkey cortex in relation to behavioural events.与行为事件相关的猴脑皮层神经元相互作用动力学
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Dynamics of neuronal interactions: relation to behavior, firing rates, and distance between neurons.神经元相互作用的动力学:与行为、放电率和神经元之间的距离的关系。
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'Dynamics of neuronal interactions' cannot be explained by 'neuronal transients'.“神经元相互作用的动态变化”无法用“神经元瞬变”来解释。
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Classification of extracellularly recorded neurons by their discharge patterns and their correlates with intracellularly identified neuronal types in the frontal cortex of behaving monkeys.根据在行为猴子的额皮质中细胞内鉴定的神经元类型,对细胞外记录的神经元进行放电模式分类及其相关性分析。
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Differential dynamics of spatial attention, position, and color coding within the parietofrontal network.顶叶-额叶网络内空间注意力、位置和颜色编码的差异动态
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引用本文的文献

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Temporal Coding of Reward Value in Monkey Ventral Striatal Tonically Active Neurons.猴子腹侧纹状体持续活动神经元中奖励值的时间编码。
J Neurosci. 2019 Sep 18;39(38):7539-7550. doi: 10.1523/JNEUROSCI.0869-19.2019. Epub 2019 Jul 30.
2
Temporal accuracy of human cortico-cortical interactions.人类皮质-皮质相互作用的时间准确性。
J Neurophysiol. 2016 Apr;115(4):1810-20. doi: 10.1152/jn.00956.2015. Epub 2016 Feb 3.