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首页> 外文期刊>Journal of Computational Neuroscience >Inhibitory synapses between striatal projection neurons support efficient enhancement of cortical signals: A computational model
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Inhibitory synapses between striatal projection neurons support efficient enhancement of cortical signals: A computational model

机译:纹状体投射神经元之间的抑制性突触支持皮质信号的有效增强:一种计算模型

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摘要

The function of lateral inhibitory synapses between striatal projection neurons is currently poorly understood. This paper puts forward a model suggesting that inhibitory collaterals can be used to enhance the incoming cortical signals. In particular, we propose that lateral inhibition between projection neurons performs a signal-enhancing process that resembles the image processing technique of "unsharp masking", where a blurred copy is used to enhance and sharpen an input image. The paper also presents the results of computer simulations deom-sntrating that the proposed mechanisms is compatible with known properties of striatal projection neurons, and outperforms alternative models of lateral inhibition. Finally, this paper illustrates the advantages of the proposed model and discusses the relevance of these conclusions for existing computational models of the basal ganglia and their role in cognition.
机译:纹状体投射神经元之间的横向抑制突触的功能目前知之甚少。本文提出了一个模型,表明可以使用抑制性抵押品来增强传入的皮层信号。特别地,我们提出,投射神经元之间的横向抑制将执行类似于“非锐化蒙版”的图像处理技术的信号增强过程,其中使用模糊副本来增强和锐化输入图像。本文还提供了计算机模拟的结果,说明所提出的机制与纹状体投射神经元的已知特性兼容,并且优于侧向抑制的替代模型。最后,本文说明了该模型的优势,并讨论了这些结论与现有的基底神经节计算模型的相关性及其在认知中的作用。

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