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

Lateral and feedforward inhibition suppress asynchronous activity in a large, biophysically-detailed computational model of the striatal network.
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DOI:
10.3389/fncom.2014.00152
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发表时间:
2014
影响因子:
3.2
通讯作者:
Wolf JA
Wolf JA
中科院分区:
医学4区
文献类型:
--
作者:
Moyer JT;Halterman BL;Finkel LH;Wolf JA

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纹状体中棘神经元(MSN)接受来自其他MSN的侧向抑制投射和来自快速放电、含小白蛋白的纹状体间神经元(FSIS)的前馈抑制投射。这些连接的功能作用尚不清楚,也很难在实验准备中进行研究。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MSN和121个FSIS组成,每个MSN由189个隔室组成,121个FSIS每个由148个隔室组成,树枝状结构明确表示,几乎所有已知的离子流都包括在内,并酌情受到生物数据的严格限制。我们对模型的分析表明,在种群水平上的侧向抑制和前馈抑制功能都可以限制非集合MSN尖峰,同时保持集合MSN尖峰。具体地说,侧抑制使大量MSN能够在短时间尺度(10-30毫秒)内同步激发,以强烈抑制非集合MSN。前馈抑制使FSIS能够强烈抑制弱激活的非集成MSN,而适度抑制激活的集成MSN。重要的是,当FSIS异步启动时,FSIS似乎更有效地抑制MSN。这两种类型的抑制都会增加响应的MSN系综的信噪比,并有助于纹状体网络中MSN系综的形成和分解。
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.
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