Information theoretical evaluation of parametric models of gain control in blowfly photoreceptor cells
Information theoretical evaluation of parametric models of gain control in blowfly photoreceptor cells
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DOI：
10.1016/s0042-6989(01)00052-9
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发表时间：
2001-06-01
期刊：
影响因子：
1.8
通讯作者：
Snippe, HP
中科院分区：
文献类型：
--
作者：
van Hateren, JH;Snippe, HP
开发并评估能够描述绿头苍蝇感光细胞对自然时间序列强度的反应的模型。使用信息理论技术来执行模型的评估，该信息理论技术根据相干函数和导出的相干率（以比特/秒为单位）来评估模型的性能。性能是衡量对一个最大的预期一致率确定从重复性的反应相同的刺激。最佳模型的性能接近于此最大性能，并且由两个分裂反馈回路的级联以及随后的静态非线性组成。第一反馈回路是快速的，有效地压缩刺激中的快速和大的瞬变。第二反馈回路也包含慢成分，并且负责感光器响应于强度的大步骤的慢适应。将驱动感光器离开其动态范围的任何剩余峰值由最终压缩非线性处理。(C)2001爱思唯尔科技有限公司版权所有。
Models are developed and evaluated that are able to describe the response of blowfly photoreceptor cells to natural time series of intensities. Evaluation of the models is performed using an information theoretical technique that evaluates the performance of the models in terms of a coherence function and a derived coherence rate (in bit/s). Performance is gauged against a maximum expected coherence rate determined from the repeatability of the response to the same stimulus. The best model performs close to this maximum performance, and consists of a cascade of two divisive feedback loops followed by a static nonlinearity. The first feedback loop is fast, effectively compressing fast and large transients in the stimulus. The second feedback loop also contains slow components, and is responsible for slow adaptation in the photoreceptor in response to large steps in intensity. Any remaining peaks that would drive the photoreceptor out of its dynamic range are handled by the final compressive nonlinearity. (C) 2001 Elsevier Science Ltd. All rights reserved.