A video Time Encoding Machine
A video Time Encoding Machine
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视频时间编码机
DOI：
10.1109/icip.2008.4711855
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发表时间：
2008
期刊：
影响因子：
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通讯作者：
E. Pnevmatikakis
中科院分区：
文献类型：
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作者：
A. Lazar;E. Pnevmatikakis
时间编码是一种将模拟幅度信息映射为多维时间序列的实时异步机制。我们调查的准确表示模拟视频流的时间编码机实现了人口的尖峰神经元。我们还提供了一种算法，可以从神经种群的尖峰序列中完美地恢复流视频。最后，我们分析了一个空间-时间可分离的视频流的恢复与人口的集成和消防神经元编码的质量，并证明恢复的质量增加作为人口规模的函数。
Time encoding is a real-time asynchronous mechanism of mapping analog amplitude information into multidimensional time sequences. We investigate the exact representation of analog video streams with a Time Encoding Machine realized with a population of spiking neurons. We also provide an algorithm that perfectly recovers streaming video from the spike trains of the neural population. Finally, we analyze the quality of recovery of a space-time separable video stream encoded with a population of integrate-and-fire neurons and demonstrate that the quality of recovery increases as a function of the population size.