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Role of spike-frequency adaptation in shaping neuronal response to dynamic stimuli

机译:峰值频率适应在塑造神经元对动态刺激的反应中的作用

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摘要

Spike-frequency adaptation is the reduction of a neuron's firing rate to a stimulus of constant intensity. In the locust, the Lobula Giant Movement Detector (LGMD) is a visual interneuron that exhibits rapid adaptation to both current injection and visual stimuli. Here, a reduced compartmental model of the LGMD is employed to explore adaptation's role in selectivity for stimuli whose intensity changes with time. We show that supralinearly increasing current injection stimuli are best at driving a high spike count in the response, while linearly increasing current injection stimuli (i.e., ramps) are best at attaining large firing rate changes in an adapting neuron. This result is extended with in vivo experiments showing that the LGMD's response to translating stimuli having a supralinear velocity profile is larger than the response to constant or linearly increasing velocity translation. Furthermore, we show that the LGMD's preference for approaching versus receding stimuli can partly be accounted for by adaptation. Finally, we show that the LGMD's adaptation mechanism appears well tuned to minimize sensitivity for the level of basal input.
机译:峰值频率适应是将神经元的放电速率降低为恒定强度的刺激。在蝗虫中,小叶巨人运动检测器(LGMD)是一种视觉中间神经元,对电流注入和视觉刺激均具有快速适应性。在这里,LGMD的简化隔室模型被用来探讨适应性在选择性刺激中的作用,其强度随时间变化。我们表明,超线性增加电流注入刺激最适合于在响应中驱动高尖峰计数,而线性增加电流注入刺激(即斜坡)最适合于在自适应神经元中获得较大的发射速率变化。通过体内实验扩展了该结果,该实验表明LGMD对具有超线性速度分布的平移刺激的响应大于对恒定或线性增加的速度平移的响应。此外,我们表明,LGMD对于接近刺激与后退刺激的偏爱可以部分通过适应来解决。最后,我们表明LGMD的自适应机制似乎已进行了很好的调整,以最小化对基础输入水平的敏感度。

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