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首页> 外文期刊>Neuron >Linking the Computational Structure of Variance Adaptation to Biophysical Mechanisms
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Linking the Computational Structure of Variance Adaptation to Biophysical Mechanisms

机译：将方差适应的计算结构与生物物理机制联系起来

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摘要

In multiple sensory systems, adaptation to the variance of a sensory input changes the sensitivity, kinetics, and average response over timescales ranging from < 100 ms to tens of seconds. Here, we present a simple, biophysically relevant model of retinal contrast adaptation that accurately captures both the membrane potential response and all adaptive properties. The adaptive component of this model is a first-order kinetic process of the type used to describe ion channel gating and synaptic transmission. From the model, we conclude that all adaptive dynamics can be accounted for by depletion of a signaling mechanism, and that variance adaptation can be explained as adaptation to the mean of a rectified signal. The model parameters show strong similarity to known properties of bipolar cell synaptic vesicle pools. Diverse types of adaptive properties that implement theoretical principles of efficient coding can be generated by a single type of molecule or synapse with just a few microscopic states. Many sensory systems adapt to a variation in signal strength by changing their sensitivity, speed, and baseline response over multiple timescales. Ozyusal et al. show that in the retina, a simple computational model representing a synapse can explain all adaptive properties.
机译：在多个感官系统中，适应感官输入的变化会在小于100 ms到数十秒的时间范围内改变灵敏度，动力学和平均响应。在这里，我们提出了一个简单的，与视网膜相适应的生物物理相关模型，可以准确地捕获膜电位响应和所有适应特性。该模型的自适应组件是一阶动力学过程，用于描述离子通道门控和突触传递。从模型中，我们得出结论，所有自适应动力学都可以通过信号机制的耗竭来解决，并且方差自适应可以解释为对整流信号均值的自适应。模型参数显示出与双极细胞突触囊泡池的已知属性非常相似。可以通过仅具有几个微观状态的单一类型的分子或突触来生成实现有效编码理论原理的各种类型的自适应属性。许多感官系统通过在多个时间范围内更改其灵敏度，速度和基线响应来适应信号强度的变化。 Ozyusal等。表明在视网膜中，代表突触的简单计算模型可以解释所有自适应特性。

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