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首页> 外文期刊>Journal of Computational Neuroscience >Slow oscillations in neural networks with facilitating synapses
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Slow oscillations in neural networks with facilitating synapses

机译：促进突触的神经网络中的缓慢振荡

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The synchronous oscillatory activity characterizing many neurons in a network is often considered to be a mechanism for representing, binding, conveying, and organizing information. A number of models have been proposed to explain high-frequency oscillations, but the mechanisms that underlie slow oscillations are still unclear. Here, we show by means of analytical solutions and simulations that facilitating excitatory (E_f) synapses onto interneurons in a neural network play a fundamental role, not only in shaping the frequency of slow oscillations, but also in determining the form of the up and down states observed in electrophysiological measurements. Short time constants and strong E_f synapse-connectivity were found to induce rapid alternations between up and down states, whereas long time constants and weak E_f synapse connectivity prolonged the time between up states and increased the up state duration. These results suggest a novel role for facilitating excitatory synapses onto interneurons in controlling the form and frequency of slow oscillations in neuronal circuits.
机译：经常将表征网络中许多神经元的同步振荡活动视为代表，绑定，传达和组织信息的机制。已经提出了许多模型来解释高频振荡，但是仍然不清楚缓慢振荡的基础机理。在这里，我们通过分析解决方案和模拟表明，在神经网络中促进兴奋性（E_f）突触到中间神经元上，不仅在形成慢速振荡的频率方面而且在确定上下波动的形式方面都起着基本作用。电生理测量中观察到的状态。发现短时间常数和强E_f突触连接性在上和下状态之间引起快速交替，而长时间常数和弱E_f突触连接性延长了上状态之间的时间并增加了上状态持续时间。这些结果表明，在控制神经元回路中缓慢振荡的形式和频率方面，促进神经元上的兴奋性突触具有新的作用。

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