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首页> 外文期刊>PLoS Computational Biology >Adaptive feature detection from differential processing in parallel retinal pathways
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Adaptive feature detection from differential processing in parallel retinal pathways

机译:从平行视网膜通路的差分处理中进行自适应特征检测

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To transmit information efficiently in a changing environment, the retina adapts to visual contrast by adjusting its gain, latency and mean response. Additionally, the temporal frequency selectivity, or bandwidth changes to encode the absolute intensity when the stimulus environment is noisy, and intensity differences when noise is low. We show that the On pathway of On-Off retinal amacrine and ganglion cells is required to change temporal bandwidth but not other adaptive properties. This remarkably specific adaptive mechanism arises from differential effects of contrast on the On and Off pathways. We analyzed a biophysical model fit only to a cell's membrane potential, and verified pharmacologically that it accurately revealed the two pathways. We conclude that changes in bandwidth arise mostly from differences in synaptic threshold in the two pathways, rather than synaptic release dynamics as has previously been proposed to underlie contrast adaptation. Different efficient codes are selected by different thresholds in two independently adapting neural pathways.
机译:为了在不断变化的环境中有效地传输信息,视网膜通过调整增益,潜伏期和平均响应来适应视觉对比度。另外,当刺激环境嘈杂时,时间频率选择性或带宽改变以编码绝对强度,而当噪声低时改变强度差异。我们表明,需要开关On-Off视网膜无长突神经节细胞和神经节细胞来更改时间带宽,但不需要其他自适应属性。这种非常特殊的适应性机制是由对比度对开启和关闭路径的不同影响引起的。我们分析了仅适合细胞膜电位的生物物理模型,并在药理上验证了它准确揭示了这两种途径。我们得出的结论是,带宽的变化主要是由两条途径中的突触阈值的差异引起的,而不是由先前提出的作为对比度适应基础的突触释放动力学。在两个独立适应的神经途径中,通过不同的阈值选择不同的有效代码。

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