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Spatial segregation of adaptation and predictive sensitization in retinal ganglion cells

机译:视网膜神经节细胞的适应性和预测敏化的空间隔离

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Sensory systems change their sensitivity based on recent stimuli to adjust their response range to the range of inputs and to predict future sensory input. Here, we report the presence of retinal ganglion cells that have antagonistic plasticity, showing central adaptation and peripheral sensitization. Ganglion cell responses were captured by a spatiotemporal model with independently adapting excitatory and inhibitory subunits, and sensitization requires GABAergic inhibition. Using a simple theory of signal detection, we show that the sensitizing surround conforms to an optimal inference model that continually updates the prior signal probability. This indicates that small receptive field regions have dual functionality-to adapt to the local range of signals but sensitize based upon the probability of the presence of that signal. Within this framework, we show that sensitization predicts the location of a nearby object, revealing prediction as a functional role for adapting inhibition in the nervous system.
机译:感觉系统根据最近的刺激改变其灵敏度,以将其响应范围调整到输入范围,并预测未来的感觉输入。在这里,我们报告视网膜神经节细胞具有拮抗可塑性,表现出中央适应和外周敏化的存在。神经节细胞反应被时空模型捕获,具有独立适应性的兴奋性和抑制性亚基,致敏作用需要GABA能抑制。使用简单的信号检测理论,我们证明了敏化环境符合不断更新先验信号概率的最佳推理模型。这表明小的接收场区域具有双重功能-适应信号的局部范围,但基于该信号存在的概率而变得敏感。在此框架内,我们表明敏化可以预测附近物体的位置,从而揭示预测是适应神经系统抑制作用的功能。

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