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通过时间窗的延迟混响作为小脑功能的关键。

Delayed reverberation through time windows as a key to cerebellar function.

作者信息

Kistler W M, Leo van Hemmen J

出版信息

Biol Cybern. 1999 Nov;81(5-6):373-80. doi: 10.1007/s004220050569.

Abstract

We present a functional model of the cerebellum comprising cerebellar cortex, inferior olive, deep cerebellar nuclei, and brain stem nuclei. The discerning feature of the model being time coding, we consistently describe the system in terms of postsynaptic potentials, synchronous action potentials, and propagation delays. We show by means of detailed single-neuron modeling that (i) Golgi cells can fulfill a gating task in that they form short and well-defined time windows within which granule cells can reach firing threshold, thus organizing neuronal activity in discrete 'time slices', and that (ii) rebound firing in cerebellar nuclei cells is a robust mechanism leading to a delayed reverberation of Purkinje cell activity through cerebellar-reticular projections back to the cerebellar cortex. Computer simulations of the whole cerebellar network consisting of several thousand neurons reveal that reverberation in conjunction with long-term plasticity at the parallel fiber-Purkinje cell synapses enables the system to learn, store, and recall spatio-temporal patterns of neuronal activity. Climbing fiber spikes act both as a synchronization and as a teacher signal, not as an error signal. They are due to intrinsic oscillatory properties of inferior olivary neurons and to delayed reverberation within the network. In addition to clear experimental predictions the present theory sheds new light on a number of experimental observation such as the synchronicity of climbing fiber spikes and provides a novel explanation of how the cerebellum solves timing tasks on a time scale of several hundreds of milliseconds.

摘要

我们提出了一种小脑功能模型,该模型包括小脑皮质、下橄榄核、小脑深部核团和脑干核团。由于该模型的显著特征是时间编码,我们始终从突触后电位、同步动作电位和传播延迟的角度来描述这个系统。我们通过详细的单神经元建模表明:(i)高尔基细胞可以完成门控任务,因为它们形成了短且明确的时间窗口,颗粒细胞在这个时间窗口内能够达到放电阈值,从而将神经元活动组织成离散的“时间片”;(ii)小脑核团细胞中的反弹放电是一种强大的机制,它通过小脑-网状投射回到小脑皮质,导致浦肯野细胞活动的延迟回响。由数千个神经元组成的整个小脑网络的计算机模拟表明,回响与平行纤维-浦肯野细胞突触处的长期可塑性相结合,使系统能够学习、存储和回忆神经元活动的时空模式。攀爬纤维放电既作为同步信号,也作为指导信号,而不是误差信号。它们源于下橄榄核神经元的内在振荡特性以及网络内的延迟回响。除了明确的实验预测外,本理论还为一些实验观察结果提供了新的解释,例如攀爬纤维放电的同步性,并对小脑如何在数百毫秒的时间尺度上解决定时任务提供了一种新的解释。

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