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Dichotomous Dynamics in E-I Networks with Strongly and Weakly Intra-connected Inhibitory Neurons

机译:具有强弱连接的抑制神经元的E-I网络的二分动力学

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摘要

The interconnectivity between excitatory and inhibitory neural networks informs mechanisms by which rhythmic bursts of excitatory activity can be produced in the brain. One such mechanism, Pyramidal Interneuron Network Gamma (PING), relies primarily upon reciprocal connectivity between the excitatory and inhibitory networks, while also including intra-connectivity of inhibitory cells. The causal relationship between excitatory activity and the subsequent burst of inhibitory activity is of paramount importance to the mechanism and has been well studied. However, the role of the intra-connectivity of the inhibitory network, while important for PING, has not been studied in detail, as most analyses of PING simply assume that inhibitory intra-connectivity is strong enough to suppress subsequent firing following the initial inhibitory burst. In this paper we investigate the role that the strength of inhibitory intra-connectivity plays in determining the dynamics of PING-style networks. We show that networks with weak inhibitory intra-connectivity exhibit variations in burst dynamics of both the excitatory and inhibitory cells that are not obtained with strong inhibitory intra-connectivity. Networks with weak inhibitory intra-connectivity exhibit excitatory rhythmic bursts with weak excitatory-to-inhibitory synapses for which classical PING networks would show no rhythmic activity. Additionally, variations in dynamics of these networks as the excitatory-to-inhibitory synaptic weight increases illustrates the important role that consistent pattern formation in the inhibitory cells serves in maintaining organized and periodic excitatory bursts. Finally, motivated by these results and the known diversity of interneurons, we show that a PING-style network with two inhibitory subnetworks, one strongly intra-connected and one weakly intra-connected, exhibits organized and periodic excitatory activity over a larger parameter regime than networks with a homogeneous inhibitory population. Taken together, these results serve to better articulate the role of inhibitory intra-connectivity in generating PING-like rhythms, while also revealing how heterogeneity amongst inhibitory synapses might make such rhythms more robust to a variety of network parameters.
机译:兴奋性神经网络和抑制性神经网络之间的相互联系为机制提供了机制,通过这种机制可以在大脑中产生有规律的兴奋性活动。一种这样的机制,金字塔形中间神经网络伽玛(PING),主要依赖于兴奋性和抑制性网络之间的相互连通性,同时还包括抑制性细胞的内部连通性。兴奋性活动与随后的抑制性活动爆发之间的因果关系对该机制至关重要,并且已经进行了充分的研究。但是,对于PING重要的是,抑制性网络的内部连通性的作用尚未得到详细研究,因为大多数PING分析仅假设抑制性内部连通性足以抑制初始抑制性爆发后的后续激发。在本文中,我们研究了抑制性内部连接的强度在确定PING样式网络的动力学中的作用。我们表明,具有弱抑制内连接性的网络在兴奋性和抑制性细胞的爆发动力学中均表现出变化,而突发性动力学无法通过强抑制性内连接性获得。抑制性内部连接性弱的网络表现出兴奋性节律性爆发,其兴奋性至抑制性突触较弱,而经典PING网络不会表现出节律性。另外,这些网络的动力学随着兴奋性至抑制性突触重量的增加而变化,这说明了抑制性细胞中一致的模式形成在维持有组织的周期性兴奋性猝发中起着重要作用。最后,根据这些结果和已知的中间神经元多样性,我们表明具有两个抑制性子网络(一个强内部连接和一个弱内部连接)的PING型网络在大于参数范围的情况下表现出有组织的周期性兴奋性活动。网络具有同质的抑制种群。综上所述,这些结果有助于更好地阐明抑制性内连接在产生类似PING的节律中的作用,同时还揭示了抑制性突触之间的异质性如何使此类节律对各种网络参数更加稳健。

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