Spike-timing dynamics of neuronal groups
Spike-timing dynamics of neuronal groups
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DOI：
10.1093/cercor/bhh053
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发表时间：
2004-08-01
期刊：
影响因子：
3.7
通讯作者：
Edelman, GM
中科院分区：
文献类型：
--
作者：
Izhikevich, EM;Gally, JA;Edelman, GM
一个受大脑皮层解剖学启发的神经元网络被模拟来研究尖峰神经元到神经元组的自组织。该网络由100 000个折返互连的神经元组成，这些神经元表现出已知类型的皮层放电模式、受体动力学、短期可塑性和长期尖峰时间依赖性可塑性（STDP），以及轴突传导延迟的分布。网络的动力学使我们能够以毫秒级的分辨率研究新出现的放电模式的精细时间结构。我们发现，STDP和传导延迟之间的相互作用引起了神经元群的自发形成-一组强连接的神经元能够发射时间锁定，但不一定同步，尖峰。尽管模型中存在噪声，但这些群体重复产生具有毫秒级尖峰定时精度的活动模式。模型的探索使我们能够表征各种组属性，包括空间分布，大小，生长，出生率，寿命和持久性突触营业额的存在。局部相干输入导致的变化的感受和投射领域的模型中观察到的在体内类似。
A neuronal network inspired by the anatomy of the cerebral cortex was simulated to study the self-organization of spiking neurons into neuronal groups. The network consisted of 100 000 reentrantly interconnected neurons exhibiting known types of cortical firing patterns, receptor kinetics, short-term plasticity and long-term spike-timing-dependent plasticity (STDP), as well as a distribution of axonal conduction delays. The dynamics of the network allowed us to study the fine temporal structure of emerging firing patterns with millisecond resolution. We found that the interplay between STDP and conduction delays gave rise to the spontaneous formation of neuronal groups - sets of strongly connected neurons capable of firing time-locked, although not necessarily synchronous, spikes. Despite the noise present in the model, such groups repeatedly generated patterns of activity with millisecond spike-timing precision. Exploration of the model allowed us to characterize various group properties, including spatial distribution, size, growth, rate of birth, lifespan, and persistence in the presence of synaptic turnover. Localized coherent input resulted in shifts of receptive and projective fields in the model similar to those observed in vivo.