Reconciling coherent oscillation with modulation of irregular spiking activity in selective attention: gamma-range synchronization between sensory and executive cortical areas.
Reconciling coherent oscillation with modulation of irregular spiking activity in selective attention: gamma-range synchronization between sensory and executive cortical areas.
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DOI：
10.1523/jneurosci.4222-09.2010
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发表时间：
2010-02-24
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通讯作者：
Compte A
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作者：
Ardid S;Wang XJ;Gomez-Cabrero D;Compte A
在这项计算工作中，我们研究了与选择性注意相关的跨皮质电路的伽玛带同步。该模型明确地实例化了感觉型（MT 区域）和执行型（前额叶/顶叶）皮层回路（自上而下的注意力信号传导的源区域）之间的尖峰神经元的相互连接环。此外，与神经元表现为类似时钟振荡器的模型不同，在我们的模型中，单细胞放电是高度不规则的（接近泊松），而局部场电位表现出群体节律。在这种“稀疏同步振荡”状态下，该模型再现并澄清了动物行为的多个观察结果。自上而下的注意力输入对网络振荡动力学具有深远的影响，而对单神经元尖峰统计数据的影响却很小。此外，注意力同步调节具有高度选择性：只有当神经元的首选特征、关注特征和呈现的刺激之间存在紧密匹配时，才会发生区域间神经元一致性，这是可通过实验测试的预测。当区域间一致性被废除时，注意力引起的感觉神经元增益调节略有减少。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增强神经同步性，有助于大脑中的大规模神经元计算。
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 Possion) while local field potential exhibits a population rhythm. In this “sparsely synchronized oscillatory” 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: Inter-areal 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 inter-areal 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.