可靠、快速、稳定的对比响应函数估计。

Q2 Medicine
Nelson Cortes, Marc Demers, Visou Ady, Lamyae Ikan, Christian Casanova
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引用次数: 1

摘要

为了在尽可能短的实验时间内准确、重复地测定稳定的皮质对比反应函数(CRFs),进行了一项研究。该方法包括使用基于不同对比度水平的非均匀泊松尖峰序列的模型搜索实验时间方面(试验的次数和持续时间以及使用的对比度的数量和分布)。保存实验时间短且crf拟合最大的一组值,然后在猫的视觉皮质神经元上进行测试。我们的分析表明,4组小于或等于6个实验视觉对比的参数满足我们在短记录周期内获得良好CRFs性能的前提,其中试验次数似乎是稳定拟合的实验条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Reliable, Fast and Stable Contrast Response Function Estimation.

Reliable, Fast and Stable Contrast Response Function Estimation.

Reliable, Fast and Stable Contrast Response Function Estimation.

Reliable, Fast and Stable Contrast Response Function Estimation.

A study was conducted to determine stable cortical contrast response functions (CRFs) accurately and repeatedly in the shortest possible experimentation time. The method consisted of searching for experimental temporal aspects (number and duration of trials and number and distribution of contrasts used) with a model based on inhomogeneous Poisson spike trains to varying contrast levels. The set of values providing both short experimental duration and maximizing fit of the CRFs were saved, and then tested on cats' visual cortical neurons. Our analysis revealed that 4 sets of parameters with less or equal to 6 experimental visual contrasts satisfied our premise of obtaining good CRFs' performance in a short recording period, in which the number of trials seems to be the experimental condition that stabilizes the fit.

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来源期刊
Vision (Switzerland)
Vision (Switzerland) Health Professions-Optometry
CiteScore
2.30
自引率
0.00%
发文量
62
审稿时长
11 weeks
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