A retino-morphic hardware system simulating the graded and action potentials in retinal neuronal layers

A retino-morphic hardware system simulating the graded and action potentials in retinal neuronal layers
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模拟视网膜神经元层的分级电位和动作电位的视网膜形态硬件系统

DOI:
10.1007/978-3-319-46672-9_37
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发表时间:
2016
期刊:
Lecture Notes in Computer Science
影响因子:
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通讯作者:
Tetsuya Yagi
Tetsuya Yagi
中科院分区:
--
文献类型:
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作者:
Yuka Kudo;Yuki Hayashida;Ryoya Ishida;Hirotsugu Okuno;Tetsuya Yagi

文献摘要

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我们最近开发了一种以 5 毫秒的帧间隔运行的视网膜形态硬件系统,该系统足够短,可以以准连续的方式模拟视网膜电路中神经元的分级电压响应。目前,我们取得了进一步的进展,通过实现 Izhikevich 模型,可以以毫秒级计时精度模拟神经节细胞层中的空间尖峰分布。该系统对于检查自然视觉场景的视网膜尖峰编码非常有用。
We recently developed a retino-morphic hardware system operating at a frame interval of 5 ms, that was short enough for simulating the graded voltage responses of neurons in the retinal circuit in a quasi-continuous manner. In the present, we made a further progress, by implementing the Izhikevich model so that spatial spike distributions in a ganglion-cell layer can be simulated with millisecond-order timing precision. This system is useful for examining the retinal spike encoding of natural visual scenes.