A realistic large-scale model of the cerebellum granular layer predicts circuit spatio-temporal filtering properties.

A realistic large-scale model of the cerebellum granular layer predicts circuit spatio-temporal filtering properties.
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DOI:
10.3389/fncel.2010.00012
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发表时间:
2010
影响因子:
5.3
通讯作者:
D'Angelo E
D'Angelo E
中科院分区:
医学2区
文献类型:
--
作者:
Solinas S;Nieus T;D'Angelo E

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小脑颗粒层如何将传入的苔藓纤维信号转化为与浦肯野细胞有关的新spike模式尚不清楚。在这里,开发了一个现实的颗粒层计算模型,并用于解决四个主要功能假设:中心-环绕组织,时间窗,响应尖峰爆发的高通滤波和响应漫射随机活动的相干振荡。模型网络被激活的模式受到了体内记录的启发。对小苔藓纤维束的突发刺激导致颗粒细胞在时间(时间窗)和空间(中心环绕)上被网络抑制。这种突发传输显示出明显的频率依赖性,配置一个截止频率约为100hz的高通滤波器。中心和周围特性的对比受兴奋-抑制平衡的调节。较强的激励使中心对10-50 Hz输入频率的响应更强,并增强了颗粒细胞的输出(与环绕相比,尖峰发生得更早,频率和数量也更高)。最后,在一定水平的苔状光纤背景活动上,电路在θ频段产生相干振荡。所有这些过程都通过小脑肾小球内NMDA和GABA-A受体的激活和神经递质囊泡循环进行微调。该模型表明,现有的细胞机制知识足以统一小脑颗粒层的主要功能假设,并表明该网络可以作为一个由频率振荡协调的适应性时空滤波器。
The way the cerebellar granular layer transforms incoming mossy fiber signals into new spike patterns to be related to Purkinje cells is not yet clear. Here, a realistic computational model of the granular layer was developed and used to address four main functional hypotheses: center-surround organization, time-windowing, high-pass filtering in responses to spike bursts and coherent oscillations in response to diffuse random activity. The model network was activated using patterns inspired by those recorded in vivo. Burst stimulation of a small mossy fiber bundle resulted in granule cell bursts delimited in time (time windowing) and space (center-surround) by network inhibition. This burst–burst transmission showed marked frequency-dependence configuring a high-pass filter with cut-off frequency around 100 Hz. The contrast between center and surround properties was regulated by the excitatory–inhibitory balance. The stronger excitation made the center more responsive to 10–50 Hz input frequencies and enhanced the granule cell output (with spikes occurring earlier and with higher frequency and number) compared to the surround. Finally, over a certain level of mossy fiber background activity, the circuit generated coherent oscillations in the theta-frequency band. All these processes were fine-tuned by NMDA and GABA-A receptor activation and neurotransmitter vesicle cycling in the cerebellar glomeruli. This model shows that available knowledge on cellular mechanisms is sufficient to unify the main functional hypotheses on the cerebellum granular layer and suggests that this network can behave as an adaptable spatio-temporal filter coordinated by theta-frequency oscillations.
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发表时间: 2007-04-19
期刊: Neuron
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Gleeson P;Steuber V;Silver RA
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发表时间: 2001-02-01
影响因子: 5.3
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发表时间: 2006-08-01
影响因子: 5.5
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发表时间: 2000-06-06
影响因子: 11.1
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发表时间: 1998-08-01
影响因子: 5.5
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通讯作者: Dieudonné, S