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在一个大型的、具有生物物理细节的纹状体网络计算模型中,侧向抑制和前馈抑制可抑制异步活动。

Lateral and feedforward inhibition suppress asynchronous activity in a large, biophysically-detailed computational model of the striatal network.

作者信息

Moyer Jason T, Halterman Benjamin L, Finkel Leif H, Wolf John A

机构信息

Department of Bioengineering, University of Pennsylvania Philadelphia, PA, USA.

Department of Neurosurgery, University of Pennsylvania Philadelphia, PA, USA.

出版信息

Front Comput Neurosci. 2014 Nov 25;8:152. doi: 10.3389/fncom.2014.00152. eCollection 2014.

Abstract

Striatal medium spiny neurons (MSNs) receive lateral inhibitory projections from other MSNs and feedforward inhibitory projections from fast-spiking, parvalbumin-containing striatal interneurons (FSIs). The functional roles of these connections are unknown, and difficult to study in an experimental preparation. We therefore investigated the functionality of both lateral (MSN-MSN) and feedforward (FSI-MSN) inhibition using a large-scale computational model of the striatal network. The model consists of 2744 MSNs comprised of 189 compartments each and 121 FSIs comprised of 148 compartments each, with dendrites explicitly represented and almost all known ionic currents included and strictly constrained by biological data as appropriate. Our analysis of the model indicates that both lateral inhibition and feedforward inhibition function at the population level to limit non-ensemble MSN spiking while preserving ensemble MSN spiking. Specifically, lateral inhibition enables large ensembles of MSNs firing synchronously to strongly suppress non-ensemble MSNs over a short time-scale (10-30 ms). Feedforward inhibition enables FSIs to strongly inhibit weakly activated, non-ensemble MSNs while moderately inhibiting activated ensemble MSNs. Importantly, FSIs appear to more effectively inhibit MSNs when FSIs fire asynchronously. Both types of inhibition would increase the signal-to-noise ratio of responding MSN ensembles and contribute to the formation and dissolution of MSN ensembles in the striatal network.

摘要

纹状体中等多棘神经元(MSNs)接收来自其他MSNs的侧向抑制性投射以及来自快速发放、含小白蛋白的纹状体中间神经元(FSIs)的前馈抑制性投射。这些连接的功能作用尚不清楚,并且在实验准备中难以研究。因此,我们使用纹状体网络的大规模计算模型研究了侧向(MSN-MSN)和前馈(FSI-MSN)抑制的功能。该模型由2744个MSNs组成,每个MSN有189个隔室,以及121个FSIs组成,每个FSI有148个隔室,明确表示了树突,并包含了几乎所有已知的离子电流,并根据生物学数据进行了适当严格的约束。我们对该模型的分析表明,侧向抑制和前馈抑制在群体水平上发挥作用,以限制非群体MSN的发放,同时保留群体MSN的发放。具体而言,侧向抑制使大量同步发放的MSNs能够在短时间尺度(10-30毫秒)内强烈抑制非群体MSNs。前馈抑制使FSIs能够强烈抑制弱激活的非群体MSNs,同时适度抑制激活的群体MSNs。重要的是,当FSIs异步发放时,它们似乎能更有效地抑制MSNs。这两种类型的抑制都将增加响应的MSN群体的信噪比,并有助于纹状体网络中MSN群体的形成和解散。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/29a7/4243567/23e662cdd751/fncom-08-00152-g0001.jpg

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