首页> 外文期刊>The Journal of Neuroscience: The Official Journal of the Society for Neuroscience >Reconciling coherent oscillation with modulation of irregular spiking activity in selective attention: gamma-range synchronization between sensory and executive cortical areas.
【24h】

Reconciling coherent oscillation with modulation of irregular spiking activity in selective attention: gamma-range synchronization between sensory and executive cortical areas.

机译:在选择性注意中调节不规则峰值活动的相干振荡:感觉和执行皮层区域之间的伽马范围同步。

获取原文
获取原文并翻译 | 示例
           

摘要

In this computational work, we investigated gamma-band synchronization across cortical circuits associated with selective attention. The model explicitly instantiates a reciprocally connected loop of spiking neurons between a sensory-type (area MT) and an executive-type (prefrontal/parietal) cortical circuit (the source area for top-down attentional signaling). Moreover, unlike models in which neurons behave as clock-like oscillators, in our model single-cell firing is highly irregular (close to Poisson), while local field potential exhibits a population rhythm. In this "sparsely synchronized oscillation" regime, the model reproduces and clarifies multiple observations from behaving animals. Top-down attentional inputs have a profound effect on network oscillatory dynamics while only modestly affecting single-neuron spiking statistics. In addition, attentional synchrony modulations are highly selective: interareal neuronal coherence occurs only when there is a close match between the preferred feature of neurons, the attended feature, and the presented stimulus, a prediction that is experimentally testable. When interareal coherence was abolished, attention-induced gain modulations of sensory neurons were slightly reduced. Therefore, our model reconciles the rate and synchronization effects, and suggests that interareal coherence contributes to large-scale neuronal computation in the brain through modest enhancement of rate modulations as well as a pronounced attention-specific enhancement of neural synchrony.
机译:在这项计算工作中,我们研究了与选择性注意有关的跨皮质电路的伽马波段同步。该模型显式实例化了感觉型(区域MT)和执行型(前额叶/顶叶)皮层回路(自上而下的注意信号传递的源区域)之间的尖刺神经元的相互连接的环路。此外,与神经元像时钟一样的振荡器的模型不同,在我们的模型中,单细胞发射是高度不规则的(接近泊松),而局部场电位则表现出种群节律。在这种“稀疏同步振荡”状态下,该模型再现并阐明了来自行为动物的多种观察结果。自上而下的注意输入对网络振荡动力学具有深远的影响,而仅适度地影响单神经元尖峰统计。另外,注意力同步调制是高度选择性的:区域间神经元连贯性只有在神经元的首选特征,参与的特征和所呈现的刺激之间紧密匹配时才会发生,该预测是可以通过实验检验的。当消除区域间的连贯性时,感觉神经元的注意力诱导的增益调节会稍微降低。因此,我们的模型协调了速率和同步效应,并表明区域间一致性通过适度增强速率调制以及显着的注意力特异性神经同步增强有助于大脑中大规模神经元计算。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号